Databricks Lakebase is a completely managed, serverless Postgres database constructed for the agentic period. For years, groups have paid an architectural tax, operating separate operational and analytical methods and connecting them with brittle ETL pipelines. Lakebase closes that hole. It’s 100% commonplace Postgres, constructed into the Databricks Platform alongside the lakehouse and Unity Catalog, and it separates compute from storage to ship serverless economics. Immediately, native integration by means of Synced Tables and Lakebase CDF strikes knowledge between the lakehouse and Lakebase robotically, with no pipelines to construct. This is step one towards our longer-term imaginative and prescient of Lake Transactional Analytical Processing (LTAP): transactional and analytical workloads operating collectively on one platform, beneath one governance mannequin, so functions, fashions, and brokers can learn and write operational knowledge with out standing up a separate serving stack.
Engineered to eradicate infrastructure friction, Lakebase introduces ground-breaking primitives like copy-on-write database branching. Builders and autonomous AI brokers can immediately spin up remoted, zero-storage manufacturing clones in seconds for risk-free testing, alongside clever autoscaling that dynamically scales compute to zero when idle. Ruled natively by means of Unity Catalog, Lakebase unifies enterprise safety and auditability throughout your complete knowledge property. To assist organizations notice this worth instantly, our international consulting and SI accomplice ecosystem has constructed a robust set of cross-industry and function-specific options. This weblog highlights these ready-to-deploy choices, designed to speed up enterprise knowledge modernization, MLOps, and agentic AI transformation at unprecedented velocity.
This weblog showcases modern accomplice options constructed on Databricks Lakebase throughout the next classes:
Know-how Options
Advancing Analytics
Advancing Analytics’ Lakebase Wizard helps organizations transfer current PostgreSQL workloads into Databricks Lakebase with confidence, not guesswork. The accelerator assesses a supply Postgres database, highlights compatibility dangers, and guides groups by means of a structured migration masking discovery, resolution, rehearsal, cut-over and validation. It identifies points similar to unsupported extensions, session-state dependencies, authentication adjustments and platform quotas earlier than they change into supply issues. Utilizing Lakebase branching, groups rehearse migrations safely, validate outcomes and cut back cut-over danger. The result’s a sensible, repeatable path from legacy operational databases to lakehouse-native Postgres on Databricks, ruled by means of Unity Catalog. Watch this video and skim this weblog to be taught extra.
Aimpoint Digital
AgentOps: Genie areas are meant to be extremely particular, constructed with a single knowledge area or specialty to make sure excessive accuracy, however what occurs if you should mix knowledge from a number of Genie areas? Aimpoint Digital’s multi-agent Genie system, powered by their Brickbuilder Accelerator AgentOps gives deep observability and a sturdy deployment framework. Acquire entry to insights by means of a single chat interface backed by Lakebase for long run chat historical past, with a robust customized supervisor agent able to reasoning throughout a number of Genie areas. Combine with your enterprise customers through apps, slack, groups or wherever enterprise choices are made. Preserve centered Genie areas whereas unlocking its true potential by means of a single customizable interface driving actual, long-term adoption. Learn this weblog to be taught extra.
Avanade
Information to Affect: AI-Powered Innovation with Genie & Lakebase – Avanade helps organizations notice the total worth of Databricks Lakebase by designing and delivering unified, AI-ready knowledge platforms that mix operational and analytical workloads. In a current engagement with a number one UK vogue retailer, Avanade carried out an agent-based AI answer constructed on Databricks Apps, Lakehouse, and Lakebase to modernize match room processes. By unifying real-time transactional and analytical knowledge, the answer eradicated handbook rework, diminished useful resource calls for, and accelerated provider collaboration. With governance by means of Unity Catalog, the consumer gained trusted, real-time insights—enabling quicker choices, improved effectivity, and a scalable basis for AI-driven product growth and steady innovation. Learn this weblog to be taught extra.
Blueprint
Informatica Information Migration: Information engineering groups modernizing from legacy Extract-Rework-Load (ETL) platforms can now run their Informatica-to-Databricks migrations by means of a ruled, end-to-end workbench. Constructed on Databricks Lakebase and Unity Catalog, Blueprint’s Information Migration Accelerator pairs a six-stage migration workflow (assess, design, migrate, combine, validate, transition) with Lakebase-served prioritization scores and an agentic conversion circulate powered by Agent Bricks. Migration leads, conversion engineers, and validation specialists collaborate inside one Databricks App, with each workflow’s state, complexity rating, and Consumer Acceptance Testing (UAT) consequence traced again to its underlying Informatica supply. Enterprise knowledge groups shift from spreadsheet monitoring to a ruled, evidence-bearing modernization management aircraft.
Capgemini
Agentic-ready AI and Information Platform: Capgemini’s ‘Agentic-ready AI and knowledge platform’ accelerates growth of customized apps, superior AI brokers and low-latency knowledge merchandise natively on Databricks with the ability of Lakebase. It brings architectural patterns, AI-assisted supply lifecycle and integration finest practices confirmed at giant enterprises, in addition to use-case templates primarily based on their expertise implementing industry-specific processes and platform apps powered by Lakebase.
Celebal Applied sciences
Eagle Eye IQ Brickbuilder accelerator: Eagle Eye IQ is utilizing Databricks Lakebase because the operational spine for autonomous knowledge reliability. Whereas Spark and Delta Lake energy large-scale knowledge high quality evaluation, lineage computation, and observability workloads, Lakebase gives the low-latency transactional basis required for real-time agent coordination and remediation. On the core of Eagle Eye is Aquila AI, Celebal’s Agentic AI guardian. Aquila’s community of 35+ specialised brokers use Lakebase to handle process queues, persist investigation context throughout handoffs, write remediation actions transactionally, and preserve an entire audit path throughout the Databricks workspace boundary. From knowledge high quality monitoring and lineage evaluation to AI observability, contract governance, and autonomous remediation, Eagle Eye IQ closes the loop between detection and backbone. Dive into the associated weblog, to see how Lakebase and Eagle Eye IQ are remodeling observability into autonomous motion.
Celebal Applied sciences Agent Storage: Celebal Applied sciences’ Agent Storage Brickbuilder Accelerator extends the ability of Databricks Lakebase right into a stateful enterprise agent platform, enabling AI methods to persist reminiscence, preserve workflow state, coordinate multi-agent processes, and securely learn and write operational knowledge in actual time. Constructed natively on the Databricks Information Intelligence Platform, it combines Lakebase’s transactional basis with Agent Storage’s orchestration and execution capabilities to energy sturdy, context-aware AI functions throughout enterprise operations. The result’s a unified system the place knowledge, reminiscence, reasoning, and motion work collectively to drive clever execution at scale. Learn this weblog to see how stateful AI brokers are remodeling enterprise workflows by means of persistent reminiscence, coordinated execution, and ruled operational intelligence.
Celebal Applied sciences CausalX is now an official Databricks Brickbuilder Accelerator and the primary to operationalize causal AI on Lakebase. Zero-copy Lakebase branches energy counterfactual what-ifs; transactional resolution logs make each advice auditable; and sub-10 ms reads serve dwell brokers and Genie. Ontos provides the ruled enterprise catalog, together with knowledge merchandise, ODCS contracts, a information graph, and MCP throughout Unity Catalog. From power reliability and manufacturing yield to banking adverse-action traces, life sciences synthetic-control arms, retail promo carry, media attribution, telecom churn and public-sector coverage what-ifs, CausalX turns ‘why’ into ‘what now’: explainable, auditable, and prepared for manufacturing. Try this weblog to see how this structure brings causal intelligence and operational execution collectively on Databricks.
Celebal Applied sciences CT Visa makes use of Databricks Lakebase because the migration management aircraft for enterprise ETL modernization. Each mission, parsed object, AI-driven evaluation, conversion, validation end result, lineage relationship, deployment exercise, and JobRun is continued by means of a ruled operational layer operating natively on Databricks. Mixed with Unity Catalog, Delta Lake, Databricks AI Mannequin Serving, Workflows, and SQL Warehouses, Lakebase gives the metadata, auditability, and traceability required to handle large-scale migration packages from evaluation by means of deployment. The result’s a migration platform the place governance, lineage, testing, and operational oversight are constructed into each stage of modernization. Learn right here on how Lakebase powers a ruled migration management aircraft for legacy ETL transformation.
CI&T
The Single Interface Multi-Agent System for Genie Orchestration revolutionizes person interplay by offering a unified gateway that integrates a number of communication channels, together with WhatsApp, Groups, and Gemini through A2A APIs. This technique permits seamless entry to numerous domains and Genie areas, whereas additionally incorporating inner documentation for enhanced assist. Central to this answer is a supervisor agent that intelligently assesses person requests, figuring out applicable entry rights and enterprise context. It orchestrates interactions with specialised brokers, guaranteeing requests are triaged successfully and routed to the proper area. Moreover, Lakebase serves as a context reminiscence, enriching session continuity and person expertise. Learn this weblog to be taught extra.
CitiusTech
AI-Pushed Database Migration & Modernization (M&M) Accelerator: Healthcare and MedTech organizations usually wrestle with legacy knowledge platforms that create silos, restrict scalability, complicate integrations, and prohibit real-time knowledge entry. These environments make modernization handbook, gradual, error-prone, and tough to control beneath regulatory necessities. CitiusTech’s AI-driven migration and modernization accelerator for Databricks Lakebase helps organizations securely transition medical and operational workloads to a unified, AI-native Lakehouse. The answer combines automated AS-IS evaluation, migration planning, phased roadmap creation, GenAI-powered schema and code conversion, workload modernization, and goal structure design. Constructed on Databricks Lakehouse companies, it permits quicker, lower-risk, FHIR-compliant, cloud-ready platforms for superior analytics and AI-driven decision-making. Learn this weblog to be taught extra.
Cognizant
Brokers that bear in mind – constructing stateful AI on Databricks Lakebase: Enterprises are deploying AI brokers that motive, plan, and act, however most fail in manufacturing as a result of they don’t have any persistent reminiscence or state. Cognizant’s Stateful Agent Stack, constructed on Databricks Lakebase, solves this by offering brokers with a ruled, low-latency operational knowledge retailer, natively embedded within the Information Intelligence Platform, enabling resumable, auditable, multi-agent workflows throughout monetary companies, healthcare, and insurance coverage with out managing a single exterior database. Learn this weblog to be taught extra.
No Extra Write Locks – Actual-Time Audit Logging at Scale with Databricks Lakebase: At 10,000+ Databricks workflows and 25,000+ datasets, each API name, pipeline run, and handbook question was logged to Delta-based audit tables. At this concurrency, Delta’s write-locking mannequin grew to become the bottleneck — writes queued, APIs timed out, and functions slowed platform-wide. Liquid clustering and desk tuning eased however by no means solved it, since the true challenge was transactional design, not storage structure. The repair: migrate audit logging to Databricks Lakebase, a completely managed, Postgres-compatible operational database ruled by means of Unity Catalog. Its OLTP engine absorbs high-frequency concurrent writes with out locking — reducing audit latency from over 2 minutes to beneath 2 seconds. Learn this weblog to be taught extra.
Constructing on Databricks Apps + Lakebase – The TrainTrack Story: Certification voucher monitoring ran on spreadsheets — handbook task, no visibility into expiring stock, no clear path from request to end result. TrainTrack replaces that with a self-service portal on Databricks Apps, operating completely on Lakebase as its Postgres backend. Column-level safety is obvious SQL grants. Each setting configures itself idempotently from a clone, with database branching and point-in-time restoration inbuilt — no ETL, no duplicate storage. Azure AD SSO, masked voucher codes, and full audit trails spherical out the safety mannequin. Two sprints and 92 automated exams later, TrainTrack proves Postgres can carry actual transactional load contained in the lakehouse. Learn this weblog to be taught extra.
Colibri Digital
Colibri Digital’s Information Market Portal, Aviary, permits customers to shortly discover, perceive, and entry the appropriate knowledge for his or her wants with out requiring technical experience or specialist assist. It’s constructed as a Databricks Apps on their bespoke Hummingbird framework, which orchestrates end-to-end knowledge pipelines from multi-source ingestion by means of to curated consumption. Information is ingested through their proprietary Colibri Foundry, and progressed by means of a structured transformation pipeline masking knowledge cleaning, standardisation, and modelling, leading to ruled, consumption-ready datasets. By way of Aviary’s easy, intuitive interface, customers can ask pure language questions—similar to figuring out datasets containing particular operational or buyer insights. That is powered by Databricks Genie, which interprets person intent and performs context-aware searches throughout the catalog, leveraging metadata and tags to return related, ruled datasets. Chosen outcomes are served again to the UI with ultra-low latency through Lakebase’s app-ready lakehouse synchronization. Learn this weblog to be taught extra.
Computomic
Computomic helps enterprises design and implement Lakebase-enabled options that resolve the restrictions of utilizing analytical lakehouse storage for transactional, high-frequency operational workloads. Their answer combines Databricks Lakebase for low-latency operational state, ingestion monitoring, metadata administration, control-plane coordination, and application-facing updates, enabling scalable analytics and historic knowledge processing. Through the use of the appropriate storage and processing sample for every workload, the answer permits quicker commits, extra dependable pipeline orchestration, improved observability, and higher separation between operational and analytical considerations. Built-in with Unity Catalog, Workflows, Delta Lake/Iceberg, and AI-enabled automation, the answer gives a future-ready Databricks structure that considerably improves efficiency, reliability, governance, and enterprise agility. Learn this whitepaper to be taught extra.
Delaware
Delaware’s (Em)powering the related employee with Genie & Lakebase: Delaware permits operators, engineers, and plant managers to make quicker, data-driven choices by turning manufacturing facility knowledge right into a conversational expertise. By way of integration with a broad OT accomplice ecosystem, supported, real-time OT knowledge is captured and contextualized immediately into the Databricks Lakehouse, making a unified view throughout IT and OT methods. Lakebase acts as a persistent basis for dependable, high-volume industrial knowledge. With Genie, customers can question efficiency, high quality, and downtime utilizing pure language; with out counting on static dashboards or engineering assist. Unity Catalog ensures safe, ruled entry with full lineage and auditability throughout all knowledge and interactions. The result’s quicker root trigger evaluation, improved traceability, and diminished downtime, whereas offering a scalable basis for MES modernization and Business 4.0 use circumstances.
DXC
DXC helps enterprises undertake Databricks Lakebase to fully unify real-time transactional and analytical workloads on a single, AI‑prepared knowledge structure. Using this serverless, Postgres-compatible database engine, DXC modernizes legacy platforms and permits scalable OLTP and OLAP workloads with out requiring complicated, brittle ETL integration pipelines. Constructing on this unified basis, DXC combines Databricks Apps, Genie, and the Agent Bricks Customized Brokers to ship intuitive, business-facing options, leveraging Lakebase to allow low-latency pure language knowledge entry and energy superior agentic AI workflows. For instance, DXC developed a Lakebase-powered software that permits enterprise customers to immediately analyze portfolio danger beneath altering geopolitical situations, seamlessly combining ruled knowledge ingestion, automated knowledge high quality loops, and conversational analytics.
Entrada
Entrada’s Governance Atlas is a workspace-portable Databricks Apps accelerator that turns Unity Catalog right into a product-grade governance working floor. It unifies search-first discovery, lineage tracing, glossary administration, native writeback workflows – eliminating metadata drift by means of authoritative updates pushed immediately again into Unity Catalog. Delivered as governance-as-code through Declarative Automation Bundles, the accelerator ensures version-controlled, reproducible, and absolutely auditable deployments. Genie API and Lakebase integration permits agentic querying of the enterprise glossary and manufacturing belongings with actionable insights. Powered by Databricks SQL Warehouses, it scales concurrent metadata operations throughout the enterprise. Learn this weblog to be taught extra.
Entrada’s Serverless Value Management Accelerator unifies numerous price telemetry – warehouse utilization, job spend, business-unit allocation, system-level alerts – right into a single view of Serverless consumption. This accelerator replaces fragmented reporting with reusable price fashions, telemetry pipelines, dashboards, and standardized chargeback workflows. Constructed-in Unity Catalog governance and Lakebase federation guarantee safe, auditable, real-time price attribution. Leveraging Genie Areas, the accelerator permits groups to question spend, utilization patterns, and price drivers in plain language, floor inefficiencies immediately, and act decisively to cut back waste. Learn this weblog to be taught extra.
EY
MET – Mannequin Ecosystem Transformation: The Mannequin Ecosystem Transformation focuses on making the mannequin growth lifecycle really feel much less fragmented and extra product-like on Databricks. Groups use Genie Code and Genie Areas to simplify how fashions are constructed, examined, and accessed, whereas AI/BI dashboards make outputs simpler to devour for enterprise customers. Databricks Apps gives a clear technique to package deal every thing into re-usable apps fairly than scattered notebooks. Behind the scenes, Lakebase helps bridge the hole between analytics and realtime functions—supporting low latency mannequin serving, state administration for agent workflows, and seamless integration with ruled knowledge. This makes it simpler to maneuver from experimentation to manufacturing and truly operationalize fashions at scale.
EY – AI Prepared Information (AIRD): EY AIRD, constructed on Databricks, provides monetary establishments a extra sensible technique to get to trusted, AI prepared knowledge with out heavy engineering overhead. By combining Genie and Unity Catalog with a ruled knowledge layer, customers can discover, rework, and validate knowledge utilizing easy pure language as an alternative of counting on technical groups. Lakebase performs a key function on the operational facet—serving curated knowledge from the Lakehouse into low latency functions and workflows. The result’s a platform that connects knowledge engineering, AI, and enterprise utilization extra tightly, reduces handbook effort, and helps groups transfer quicker from uncooked knowledge to choices with confidence and correct governance inbuilt.
Fractal Analytics
Turning Trusted Information into Actual-Time Buyer Experiences: Fractal’s answer helps enterprises flip ruled Lakehouse knowledge into real-time buyer and operational experiences with Databricks Lakebase. By putting a completely managed, Postgres-compatible operational tier subsequent to trusted analytical knowledge, the answer helps quick reads, writes and transactions with out including a separate database property. It provides groups a ruled basis for personalization, pricing, function serving, agent reminiscence and transaction-heavy workflows, whereas simplifying structure, enhancing manufacturing readiness and serving to functions reply quicker when enterprise moments demand it. Learn this weblog to be taught extra.
Frisco Analytics
LakeFusion MDM, carried out by Frisco Analytics, is a Databricks-native grasp knowledge administration platform. It resolves duplicate, conflicting data from any supply into trusted golden data — Affected person 360, Buyer 360, Provider MDM — with out ever shifting knowledge out of the lakehouse. Lakebase makes mastered knowledge interactive: Delta Lake holds the supply of reality; Lakebase serves golden data, cross-references, and match candidates as Postgres tables with sub-5ms lookups and a three-layer cache that retains repeat queries near-instant. Unity Catalog governs every thing. The end result: production-grade grasp knowledge any software or enterprise customers can question in actual time, operating completely inside Databricks — delivered by Frisco Analytics. Learn this weblog to be taught extra.
Frisco Analytics LakeFusion PIM, carried out by Frisco Analytics, is a Databricks-native product data administration platform constructed for enterprise customers managing complicated product catalogs throughout a number of upstream and downstream channels. Customers handle 1- 2- 3- and 4-tier product hierarchies aligned to a taxonomy with limitless depth — dynamically modifying attributes in actual time and live-editing the info mannequin with out IT involvement. Lakebase serves because the supply of reality: taxonomy administration, hierarchy inheritance, dwell knowledge modifying, and row-level entry management all run natively on Lakebase. Unity Catalog governs every thing finish to finish. Information syndication throughout the enterprise is simplified. Obtainable as a Databricks Market App — zero knowledge egress, operating completely inside Databricks. Learn this weblog to be taught extra.
Frisco Analytics LakeGraph, carried out by Frisco Analytics, is a Databricks-native graph analytics platform. It turns operational knowledge — Delta Tables, CSVs, PDFs, contracts — right into a property graph and surfaces decision-grade insights: vendor danger, provider focus, fraud paths, community bottlenecks — with out shifting knowledge out of the lakehouse. Lakebase makes the graph interactive: Delta Lake holds the supply of reality; Lakebase serves the graph as Postgres tables with sub-5ms 1-hop lookups, sub-second multi-hop traversals, and a three-layer cache that retains repeat queries near-instant. Unity Catalog governs every thing. The end result: production-grade graph analytics any enterprise person can question in plain English, operating completely inside Databricks — delivered by Frisco Analytics. Learn this weblog to be taught extra.
Genpact
The AI-Powered Actual-Time Personalization Engine, constructed on Databricks Lakebase, unifies transactional, analytical, and AI workloads on one ruled platform. Lakebase handles high-velocity interactions and session knowledge with low-latency, ACID-compliant Postgres, whereas native pgvector assist permits real-time semantic seek for RAG-powered suggestions; no separate vector database required. Synced Tables deliver ruled Unity Catalog knowledge into Lakebase’s serving layer, whereas Lakehouse Sync streams adjustments again into Delta tables, protecting methods aligned with out customized ETL. Additional delivered by means of Databricks Apps, this structure removes handbook knowledge pipelines and delivers a genuinely AI-ready, low-TCO basis for real-time personalization.
Hexaware
Vibe Analytics Brokers: Vibe Analytics Brokers use Lakebase to persist short-term and long-term reminiscence. Quick-term/working reminiscence continued in Lakebase permits numerous vibe analytics brokers to reference current interactions and put together interpretable insights. Lengthy-term semantic reminiscence shall be continued in Lakebase similar to information, person profile, summaries to offer contextual insights and analyze previous knowledge interactions. Reminiscence continued in Lakebase helps fast writes and plenty of simultaneous reads for a number of analytics brokers.
HTEC
Lakebase Branching in regulated environments: how HTEC turned constraints into benefit utilizing Lakebase: HTEC carried out Databricks Lakebase branching built-in with Unity Catalog governance for a extremely regulated danger and compliance know-how supplier. This breakthrough answer delivers parallel, absolutely remoted knowledge branches for QA testing, eliminating setting collisions and scheduling bottlenecks with out exposing delicate buyer knowledge. It empowers operations groups to soundly examine production-level bugs inside an auditable setting with out ever touching dwell, lively methods. Moreover, the safe structure introduces instantaneous rollback capabilities for dangerous updates, guaranteeing strong compliance and knowledge safety. By treating regulatory constraints as core design drivers, HTEC proved that strict enterprise governance can efficiently speed up fashionable engineering innovation. Learn this weblog to be taught extra.
IConsulting
From KPI Sprawl to Semantic APIs – Serving enterprise metrics in milliseconds with Databricks Lakebase: A big luxurious retail enterprise had amassed hundreds of KPIs throughout disconnected methods, making constant definitions, reuse, and a single trusted view of efficiency almost not possible. IConsulting addressed this with a unified, ruled analytics structure on Databricks. The enterprise taxonomy and canonical KPI definitions are ruled in Unity Catalog; a Lakehouse engine computes KPIs from a single supply of reality; and Lakebase serves them by means of taxonomy-oriented PL/SQL features uncovered as low-latency Information APIs. The result’s a single, channel-agnostic semantic layer delivering decision-ready metrics with millisecond response occasions — roughly 100× quicker than earlier DBSQL makes an attempt — all throughout the Databricks Clever Platform.
iLink
iLink’s DataVerse: AI-powered unified knowledge catalog & context layer on Databricks: iLink’s DataVerse is an AI-powered unified knowledge catalog and enterprise context platform constructed natively for Databricks Unity Catalog and hosted on Databricks Lakebase. It permits enterprises to determine a centralized, ruled metadata basis by integrating immediately with Unity Catalog and increasing it with business-friendly governance, knowledge product administration, and AI-driven contextualization. The platform helps organizations construct a unified enterprise knowledge catalog throughout domains, enrich technical metadata with enterprise context and semantics, govern knowledge merchandise at scale, and allow AI-assisted metadata enrichment, glossary technology, stewardship, and classification enhancing discoverability, belief, usability, and enterprise adoption of enterprise knowledge belongings.
Indicium AI
Pilot-to-Manufacturing AI Accelerator: Pilot-to-Manufacturing AI Accelerator closes the hole between AI experimentation and enterprise influence. Constructed on Databricks with Lakebase, it codifies the manufacturing patterns enterprises want most: workflow persistence and state administration, runtime governance and guardrails, observability, and audit trails. Engineering groups cease rebuilding these foundations for each initiative and ship ruled, dependable AI methods at portfolio velocity. The end result is measurable: time-to-production diminished from months to weeks, 3x extra use circumstances dwell per engineering group, and per-use-case price that decreases with every deployment. For enterprises with stalled AI portfolios, it gives the repeatable path from promising pilots to manufacturing methods driving P&L influence.
Infocepts
Observability Resolution: Enterprise Information & AI leaders face the multi-faced problem of managing knowledge platform prices, efficiency, pipeline well being, and AI sprawl. Infocepts Databricks Observability constructed natively with Unity Catalog, Lakeflow, AI/BI Genie, Agent Bricks, Lakebase, and Databricks Apps addresses these wants proactively. It gives a ruled intelligence layer which repeatedly observes, understands, decides, and optimizes the Databricks platform for price, well being and efficiency. It serves six personas — FinOps, Platform Engineers, Information Leaders, Information Engineers, Governance groups, and AI/ML Leads — every receiving role-specific, KPI-ready, AI-powered insights on one trusted platform. Watch this demo to be taught extra.
Infosys
Agentic AI SRE: The SRE Agentic AI answer introduces an clever management layer that augments conventional monitoring by changing telemetry into context-aware, actionable choices. Utilizing agentic workflows, it repeatedly displays platform well being and permits autonomous remediation actions similar to restarts, scaling, and failover. Area-trained brokers improve incident decision by means of runbook-driven insights with human-in-the-loop governance, enhancing reliability, compliance, and effectivity. Databricks Lakebase powers this answer because the real-time knowledge retailer and “working reminiscence,” functioning because the high-velocity operational core that closes the hole between static evaluation and real-time motion. This transforms static knowledge into an lively resolution engine, enabling quick, adaptive, and autonomous operations for resilient, high-performance SRE ecosystems.
Koantek
Ascend AI AppBase productizes Databricks Apps and Lakebase finest practices into ruled operational-app supply. A rising library of Lakebase-first starter kits runs on a shared Information-Clever Starter basis, beginning with buyer intelligence, AI agent operations, danger and compliance, and industrial operations. Every equipment serves Unity Catalog knowledge through Synced Tables, shops transactional app state in Lakebase, and ships through app sources, valueFrom bindings, service-principal permissions, and Declarative Automation Bundles. Koantek provides the sector layer that strikes a equipment past a demo: vertical schemas, grant matrices, generated bundles, QA harnesses, and proof-ready proof. Learn this weblog to be taught extra.
Lovelytics
DocInsights: Lovelytics constructed DocInsight to point out what’s doable when AI meets the trendy lakehouse. DocInsight automates the extraction of structured knowledge from unstructured paperwork – contracts, drilling studies, tax filings, and extra – utilizing native Databricks capabilities together with ai_parse_document and Agent Bricks. Extracted content material lands immediately in Lakebase, giving enterprise groups a ruled, queryable basis for analytics from day one. As soon as knowledge is structured, Databricks Genie transforms how customers work together with it: as an alternative of constructing queries, reviewers merely ask questions and get solutions – straight from the paperwork themselves. The result’s a full pipeline from uncooked PDF to enterprise resolution, constructed completely on Databricks. Watch this demo and skim this weblog to be taught extra.
LTM
Alcazar is an clever modernization accelerator constructed to supercharge Databricks migration journey from legacy EDW and CDW platforms. Absolutely native to Databricks, Alcazar automates the heavy lifting of Information/Schema and ETL migration by means of its highly effective core elements: Analyzer, Code Migrator, Information Migrator and Information Validator. Powered by Databricks AI, it delivers sensible code conversion, seamless full and incremental knowledge migration, and blazing-fast parallel processing for large-scale datasets. With built-in mixture and hash-level validation, your knowledge integrity is assured. Deployed as Databricks Apps with Lakebase powered configurations, Alcazar turns complicated migrations right into a streamlined, confidence pushed expertise.
Mphasis
The Mphasis Datalytyx Migration Assistant is an AI-assisted instrument that modernizes complicated procedural SQL—similar to Oracle PL/SQL—by migrating it to the Databricks Lakehouse and Lakebase. Constructed on Databricks utilizing Anthropic Claude and the SQLGlot library, it goes past syntax conversion to extract and clarify embedded enterprise logic, robotically producing visible circulate diagrams of resolution factors, validation guidelines, and exception paths. Crucially, it recommends the place every workload ought to run, with causes: Lakebase fits procedural and transactional logic by preserving PL/SQL semantics, whereas the Lakehouse excels at analytics and orchestration. It classifies code by complexity tier and validates conversions by means of actual execution, guaranteeing quicker, lower-risk migrations. Learn this weblog to be taught extra.
Nagarro
DEP.AI – Agent Pushed Information Engineering: DEP.AI is Nagarro’s AI-powered knowledge engineering accelerator constructed on Databricks Lakehouse structure to speed up enterprise knowledge modernization and AI adoption. The platform gives a customized UI for creating Spark-based knowledge pipelines with pipeline execution operating on Databricks clusters, whereas leveraging Unity Catalog for centralized governance and Lakebase Postgres for managing operational metadata, AI iteration logs, workflow states, and job monitoring. Built-in with GenAI capabilities, conversational interfaces, and Databricks Unity AI Gateway for agentic duties, DEP.AI permits automated migration, ingestion, AI-assisted ETL growth, schema evolution dealing with, knowledge high quality monitoring, and self-healing pipelines. Designed for multi-cloud environments, the accelerator helps organizations cut back engineering effort, enhance observability, and quickly construct ruled, AI-ready knowledge merchandise at scale.
Perficient
The Simple Ingestion Accelerator is a Databricks-based, production-ready framework that simplifies and automates end-to-end knowledge ingestion throughout numerous sources and codecs, together with CSV, JSON, Excel, and Parquet. Backed by Lakebase configuration administration, it centralizes ingestion settings and governance whereas offering a goal that helps Databricks Delta tables in addition to Lakebase by means of the EasyETL Lakebase goal sink. Constructed with reusable utilities for file validation, ingestion, auditing, and supply, it reduces growth complexity and accelerates onboarding of latest knowledge sources by as much as 60%. The accelerator delivers observability, audit trails, and dependable knowledge supply to Delta Lake, Lakebase, and lakehouse environments at enterprise scale as we speak.
Persistent Methods
iAURA Value of Intelligence: iAURA Value of Intelligence is a Lakebase-powered accelerator that captures real-time token-level telemetry throughout customers, functions, prompts, classes, and fashions, offering a dwell view of GenAI consumption. It integrates this with Lakehouse-based historic analytics to allow development evaluation, anomaly detection, and forecasting of token utilization and price patterns. By embedding token economics into supply workflows, it permits steady optimization, governance, and data-driven management of GenAI consumption, leading to higher price visibility, early detection of inefficiencies, and predictable AI utilization at scale. Learn this weblog to be taught extra.
Qubika
Lakebase Efficiency Intelligence Agent Accelerator: Lakebase ships as Databricks’ managed Postgres OLTP engine, however its operational alerts—connections, CPU, cache hit charge, replication lag—dwell scattered throughout system tables with nothing to correlate them. Qubika’s Lakebase Efficiency Intelligence Agent closes that hole with six specialised AI brokers on the Agent Bricks Agent Framework, a coordinating orchestrator, and compound correlation logic that classifies gradual queries as downstream signs fairly than root causes. A Unity Catalog–ruled persistent layer means the system learns from each incident. As a result of the failure modes are common—connection saturation, reminiscence stress, replication lag—any group operating Lakebase in manufacturing advantages, no matter {industry}. Reactive firefighting turns into proactive operational intelligence. Learn this weblog to be taught extra.
Reply
Clever Doc Processing Accelerator on Databricks Lakebase: Constructing operational AI apps requires sub-second transactional question efficiency, not simply batch analytics. Databricks Lakebase addresses this by embedding a PostgreSQL-compatible engine immediately within the lakehouse. Mixed with a Unity Catalog Quantity for unstructured doc storage and Databricks Jobs for orchestration, it serves as a real-time operational database. This unified structure eliminates cross-system knowledge synchronization, sustains constant efficiency beneath concurrent load by means of row-level locking, and scales from 10K to 100K+ paperwork yearly — all with out architectural rewrites and with full PostgreSQL ecosystem compatibility. Learn this weblog to be taught extra.
Sigmoid
Sigmoid LatticeIQ, powered by Databricks Lakebase, serves as a unified, low-latency serving layer that integrates transactional and analytical knowledge beneath a single Unity Catalog governance aircraft, fully eliminating the necessity for separate database infrastructure. Sigmoid is at the moment deploying this answer throughout main international enterprises , partnering with a Fortune 500 Well being & Hygiene firm to ship a sturdy Client Information Platform that has already secured a 3x advertising and marketing ROI and a 30% improve in knowledge protection. For a Fortune 500 Drinks firm, LatticeIQ drives advertising and marketing finances optimization by enabling risk-free econometric mannequin testing by means of instantaneous copy-on-write database branching. Moreover, the structure permits a number one Client Items enterprise to attain sub-10ms UI question latency paired with automated, scale-to-zero price efficiencies to energy an clever, agentic S&OP forecasting system.
Slalom
LakeSpeak: One in every of Slalom’s public sector clients is modernizing emergency response by utilizing AI-powered instruments like LakeSpeak, Slalom’s MCP powered Brickbuilder accelerator, to create dynamic, real-time Scenario Experiences. This enhances decision-making, reduces handbook reporting, and gives an AI assistant for focused knowledge queries throughout disasters. LakeSpeak delivers a safe, standardized gateway to reveal Databricks Genie and Lakebase to exterior apps, brokers, and enterprise customers – with out duplicating logic, breaking governance, or rewriting integration patterns. Learn this weblog to be taught extra.
SoftServe
Lakebase Ingestion Structure: SoftServe accelerates enterprise adoption of Databricks’ Lakebase and Zerobus by delivering a production-ready reference structure that unifies real-time ingest, operational serving, and agentic workflows on the Lakehouse. This eliminates the necessity for secondary databases, Kafka clusters, and reverse-ETL pipelines — lowering infrastructure complexity whereas sustaining a single Unity Catalog governance mannequin throughout your entire knowledge and software stack. Learn this weblog and social media submit to be taught extra.
Solita
Solita’s Put in Base Basis features a Databricks reference structure and reference knowledge mannequin to assist tools OEMs and asset-heavy operators collect mixed-fleet knowledge beneath a single ruled basis. Constructed on the Databricks Information Intelligence Platform, it combines machine telemetry and repair data utilizing industry-standard asset fashions. Ruled by Unity Catalog and utilizing Lakebase because the operational retailer, the accelerator gives a transparent, real-time view of fleet efficiency and availability. This sensible basis provides power managers a structured foundation to optimize facility masses and lower time to worth, whereas giving groups a stable base to ship digital companies like predictive upkeep, asset dwell views, and repair planning instruments. Learn this weblog to be taught extra.
Systech
LakeBuild: Group’s knowledge exists. The group’s groups simply cannot get to it — not quick sufficient, not in the appropriate type, not with out a pipeline mission that takes months. LakeBuild adjustments that. In 4 weeks, Systech takes one actual knowledge accessibility problem — operational reporting, app-ready knowledge, real-time decisioning — and delivers a production-ready knowledge basis on Databricks Lakebase that the client’s group owns and makes use of from day one. Quick, transactional, native to Databricks. Ruled by Unity Catalog, prepared for apps, dashboards, or AI — constructed for the client’s enterprise, not a proof of idea. Watch this demo and skim this weblog to be taught extra.
T1A
LakeSentry: LakeSentry is a Databricks price optimization platform purpose-built for FinOps groups. Constructed on Lakebase, it delivers normalized price visibility throughout all workspaces — breaking down spend by jobs, SQL warehouses, compute varieties, and principals. Groups acquire unified chargeback and showback capabilities, changing fragmented guesswork with evidence-backed price attribution. AI-powered anomaly detection surfaces price spikes and runaway jobs earlier than they escalate, whereas ranked optimization suggestions spotlight the highest-impact financial savings alternatives. With 30-day spend forecasting, finances monitoring, and dedication utilization monitoring, LakeSentry provides FinOps professionals the whole monetary intelligence layer they should drive measurable Databricks price reductions with out ever risking manufacturing stability. This software is obtainable as a third social gathering app on Databricks Market.
Tata Consultancy Companies
ValueOps is a Unity Catalog degree AI/ML worth intelligence platform that provides organizations a unified view to grasp, troubleshoot and scale AI throughout the Databricks property, measuring worth throughout six pillars – productiveness, resiliency, person expertise, sustainability, enterprise development and price effectivity. ValueOps is powered by a chat interface and is built-in throughout all options. Lakebase is leveraged throughout ValueOps for the next features: Lakebase as dialog persistence layer for chat app; Lakebase for context reconstruction; Lakebase as short-term reminiscence to assist with coherent, context conscious reasoning; Lakebase as long-term agent reminiscence to assist with cross-session utilization; and Lakebase as an inference retailer and end result retailer. Learn this weblog to be taught extra.
Tech Mahindra
Unified Information Administration Framework© (UDMF) – Oracle to Databricks Lakebase Information High quality & Migration Administration: UDMF (Unified Information Administration Framework) is Tech Mahindra’s US-copyrighted framework for accelerating enterprise knowledge modernization to Databricks Lakebase and the Lakehouse. Supply-agnostic by design, it automates knowledge profiling, high quality validation, transformation, CDC-based replication, reconciliation, governance, and migration orchestration utilizing reusable Spark-powered elements and configurable guidelines. Built-in with Unity Catalog, UDMF permits safe, auditable knowledge motion into ruled Delta and Lakebase-aligned targets. Its GenAI-powered accelerators—together with Agentic Information Reconciliation, TalkToData, and DQGuard for profiling, high quality rule technology, and anomaly detection—assist cut back migration danger, enhance knowledge belief, and construct scalable, AI-ready knowledge platforms.
Information Testing Automation Framework – FasTEST: FasTEST is Tech Mahindra’s GenAI-powered knowledge testing and reconciliation framework for Databricks Lakebase and Lakehouse modernization. Constructed on Spark, Scala, and Python, it automates metadata validation, schema verification, referential integrity testing, knowledge high quality checks, transformation validation, anomaly detection, and cross-platform reconciliation. Its GenAI capabilities generate migration check circumstances, validation situations, check guidelines, and pure language queries, making testing extra accessible to each enterprise and engineering groups. FasTEST reduces handbook effort, accelerates validation cycles, and improves traceability, consistency, and confidence in delivering ruled, analytics-ready knowledge on Databricks.
Tredence
T-Discovery – Actual-Time function engineering accelerator for Lakebase: T-Discovery makes use of agentic AI to resolve the toughest a part of real-time ML: understanding what options to construct. Area specialists describe enterprise goals in pure language; Milky Method’s agentic speculation discovery engine explores the lakehouse, generates function hypotheses, and validates candidates towards labeled outcomes — changing weeks of handbook pocket book exploration. The output is production-ready options with Unity Catalog metadata and first/overseas key definitions, prepared for Spark Actual-Time Mode to execute and Lakebase On-line Function Retailer to serve. T-Discovery discovers, builds the SQL, and validates. The Databricks platform handles every thing else.
Tredence’s Resolution Intelligence with Brokers: Tredence’s ATOM.AI Resolution Intelligence answer balances structured and unstructured enterprise knowledge on the Databricks platform to compress time-to-insight. The structure mitigates gradual, handbook knowledge collation by using autonomous AI brokers powered by a central grasp Orchestration Agent. The answer integrates Lakebase particularly as a centralized Immediate Database throughout the RAG (Retrieval-Augmented Technology) and doc technology workflow. It serves to energy distributed doc part technology, vector searches, and formatting. Finally, the end-to-end answer delivers actionable cross-industry insights, reducing knowledge processing time by over 60% and netting huge enterprise price financial savings.
V4C.ai
Lakebase Monitoring Dashboard: The Lakebase Monitoring Accelerator provides Databricks groups full operational visibility into their Lakebase Postgres setting. As database branching, price administration, and compliance auditing change into vital considerations for platform groups, managing all three with out a unified view is a continuing problem. This accelerator solves that immediately by combining the Lakebase REST API with Databricks system tables right into a single monitoring answer constructed completely inside Databricks. An automatic Python pipeline snapshots dwell department and endpoint state right into a Delta desk on a schedule, joined with billing, audit, and compute knowledge by means of purpose-built SQL views. A local Databricks SQL dashboard delivers three centered experiences: Department Well being for real-time visibility into department lifecycle, storage, and exercise throughout all environments; Lakebase Value and Compute for monitoring DBU consumption, estimated spend, compute configuration, and API exercise tendencies; and Audit and Governance for surfacing high-risk Lakebase operations, compliance-relevant occasions, and a full 30-day audit log with actor-level visibility. Delivered as structured notebooks masking provisioning, desk creation, department setup, view creation, and dashboard deployment, the accelerator runs completely inside Databricks with no exterior dependencies and is designed to scale as Lakebase adoption grows throughout the group.
V4C.ai’s LakeForge – Lakebase setup and connection accelerator: LakeForge gives a scaffolding setup for creating Databricks Lakebase infrastructure by means of GitHub Actions and Asset Bundles. The workflow takes a mission title and department listing, generates the required Lakebase YAML sources, validates them, and deploys or destroys the topology persistently. This removes handbook setup effort and retains infrastructure reproducible throughout environments. Alongside the scaffold, the LakeForge Python library helps functions connect with Lakebase securely. It gives sync and async psycopg connection swimming pools and requests short-lived Databricks database credentials at connection time, avoiding saved passwords. Collectively, the scaffold and library resolve provisioning, repeatability, and safe connectivity challenges.
V4C.ai’s LakeMover Migration Accelerator: Organizations migrating from on-premises SQL Server and Azure SQL Database environments to fashionable cloud-native platforms usually face challenges similar to schema conversion, dependency evaluation, knowledge validation, reconciliation, and migration governance. LakeMover is an enterprise-grade migration accelerator designed to automate the end-to-end migration of SQL Server and Azure SQL workloads to Databricks Lakebase, a completely managed PostgreSQL-compatible database within the Databricks platform. The accelerator performs automated evaluation, metadata extraction, dependency evaluation, schema and knowledge migration, validation, audit logging, reconciliation, reporting, and saved process conversion. By offering a standardized, repeatable, and metadata-driven migration framework, LakeMover reduces migration effort, minimizes danger, accelerates modernization initiatives, and improves migration transparency whereas sustaining knowledge high quality and governance requirements.
Wavicle Information Options
Wavicle’s EZConvertDB, a Transaction Modernization Heart, modernizes clients’ archaic analytics methods for close to real-time analytics and AI. Burdened by the overhead of separate transactional and analytics knowledge shops, separate governance layers, and managing ETL pipelines, clients are usually not in a position to extract worth from their knowledge for real-time resolution making. The Wavicle accelerator delivers infrastructure-as-code deployment through YAML, Alembic-powered desk lifecycle administration, an LLM powered metadata-based sync engine for one-to-one Delta-to-Lakebase desk synchronization, and a worth efficiency monitoring framework to research consumption patterns earlier than decommissioning duplicated knowledge. Prospects, now with a single unified platform inside Databricks, can carry out customized suggestions and buyer segmentation producing real-time advertising and marketing gives, partaking their clients and driving further gross sales. Learn this weblog to be taught extra.
Xebia
Xebia AXIS: Each knowledge platform as we speak assumes a technical group sits between the enterprise and its knowledge – constructing the pipelines and use circumstances the enterprise then consumes. It’s gradual, handbook, and worth will depend on individuals patching the gaps by hand. Xebia AXIS adjustments that. Delivered as a single Databricks App and designed for brokers to function – not retrofitted for them – AXIS places the enterprise within the driving seat to find licensed knowledge merchandise, discover the Agent Ontology, and construct what it wants. Databricks Lakebase is the operational spine: each session, request, contract, approval, and agent run lives in managed Postgres proper beside the lakehouse, so the app stays quick, transactional, and absolutely ruled. Work that took months now takes a fraction of the time – with engineers supervising, not doing each step.
Zeb
zeb Agentic Lakebase is a productized, agent-native sample that operationalizes Databricks’ “database for brokers” positioning. An AI agent receives a scoped Lakebase setting as its persistent reminiscence and transactional runtime, with instruments to question, execute, evolve schemas, and ingest knowledge. It runs in two modes. Greenfield: the agent takes a enterprise immediate, provisions Lakebase, designs the info mannequin, generates software code, and auto-deploys a dwell Databricks App. Brownfield: the agent ingests an current prototype from Lovable, Bolt, v0, or Cursor, infers the mannequin, and migrates it to manufacturing. The place others give brokers read-only context, zeb provides full transactional possession. Learn this weblog to be taught extra.
Zeb’s Constructing Information Merchandise utilizing Databricks Apps and Lakebase is a Brickbuilder accelerator that turns ruled lakehouse knowledge into dwell, interactive knowledge merchandise with out leaving Databricks. Groups outline a product from Unity Catalog belongings; zeb provisions a Lakebase serving layer for low-latency reads and writes, generates a FastAPI backend and React frontend, and deploys it as a Databricks App. The result’s a self-service software, a dashboard, an operational instrument, or a reverse-ETL floor, ruled finish to finish by Unity Catalog. Every product runs in an remoted Lakebase schema with service-principal authentication, so knowledge by no means leaves the workspace boundary.
Perform-specific Options
Finance
Diggibyte
SimuLake – Enterprise Simulation Hub on Databricks: SimuLake is an clever simulation and scenario-planning platform constructed on Databricks that permits organizations to mannequin future enterprise outcomes utilizing historic and operational knowledge. Customers can create, evaluate, and consider a number of what-if situations by adjusting key enterprise parameters similar to provide chain prices, demand fluctuations, pricing, stock ranges, logistics bills, or useful resource utilization. Superior forecasting fashions generate projected price and efficiency impacts for every situation, serving to decision-makers establish optimum methods earlier than execution. Databricks Lakebase serves because the transactional spine for managing simulation workflows, storing assumptions, monitoring situation variations, sustaining approvals, and preserving simulation historical past, making a ruled and auditable decision-intelligence platform relevant throughout provide chain, manufacturing, finance, procurement, and different planning-intensive domains. Learn this weblog to be taught extra.
KPI Companions
KPI Companions’ ProcurementIQ grounds AI procurement intelligence in dwell enterprise contract and spend knowledge, powered by Databricks Agent Bricks, Lakebase, and Genie — enabling low-latency, multi-agent procurement workflows at scale throughout contract intelligence, spend optimization, and dealing capital administration. A hierarchy of specialist brokers – extracting contract intelligence, monitoring spend thresholds, surfacing early cost alternatives, and flagging compliance drift – work repeatedly on a unified Delta Lake basis, coordinated by a Supervisor agent that routes alerts into buyer-ready suggestions. The result’s a shift from reactive reporting to steady, agentic procurement intelligence compressing the hole between a dashboard sign and a industrial resolution from days to minutes. Learn this weblog to be taught extra.
LTM
Touchless AP: Touchless AP is an clever automation agent that delivers seamless 3-way matching throughout buy orders, items receipt notes, and provider invoices with no handbook effort in cost processing. Conventional AP processes are handbook, gradual, and error-prone inflicting delayed funds, compliance dangers, and rising prices. Touchless AP auto captures and extracts bill knowledge, matches in actual time, applies sensible tolerance checks, and flags solely true exceptions for human overview making the method quicker, smarter, and easy. Powered by Databricks, it’s hosted on Databricks Apps, Lakebase for grasp knowledge storage, matching outcomes, agent outputs, and logs, Lakehouse for storing bill recordsdata, Unity AI Gateway for LLMs and guardrails, LLM-as-Choose for analysis, and Unity catalog for governance and enterprise grade safety.
Polestar Analytics
CapitalPulse is an AI-powered working capital intelligence platform designed as a real-time command heart for enterprise CFOs. It eliminates the standard delay between recognizing a money circulate downside and fixing it by providing a closed-loop remediation pipeline: Detect, Diagnose, Consider, Simulate, and Execute. The platform repeatedly displays monetary knowledge to detect liquidity anomalies, robotically diagnoses root causes, and generates AI-backed corrective actions, together with lively warnings on what to not do. Crucially, it lets customers simulate these methods towards enterprise monetary fashions to validate outcomes safely earlier than execution, finally serving to companies unlock hundreds of thousands of {dollars} in trapped money. Learn this weblog to be taught extra.
Wipro
Wipro Resilience Modelling Suite for Planning is a tri-party built-in enterprise planning answer collectively delivered by Wipro, Databricks, and BOARD, combining Databricks’ Lakehouse and Genie with BOARD’s enterprise planning capabilities and Wipro’s {industry} and transformation experience. It permits CFOs and FP&A groups to make use of pure language to evaluate tariff impacts, margin dangers, and multi-scenario outcomes throughout plan variations, with clear explanations of key monetary drivers. Constructed on ruled, trusted Lakehouse knowledge built-in with EPM methods, Wipro Resilience Modelling Suite for Planning ensures auditability and SOX alignment. By changing static dashboards with scenario-aware, explainable AI, it accelerates assured, volatility-ready planning choices at enterprise scale. Learn this weblog to be taught extra.
Advertising and marketing
Delaware
Omnichannel Hub on Databricks – Actual-time buyer activation at scale: Delaware permits advertising and marketing groups to ship constant, real-time buyer experiences by unifying interactions, knowledge, and activation on the Databricks Lakehouse. On the core, Lakebase acts as a persistent system of file, capturing all buyer interactions throughout channels. Mixed with the Lakehouse, this allows real-time knowledge processing and activation, turning uncooked knowledge into actionable insights similar to segmentation, personalization, and next-best actions. Unity Catalog ensures ruled, safe entry throughout groups, whereas Genie gives a pure language interface for entrepreneurs to discover knowledge and launch campaigns with out technical dependency. This basis reduces fragmentation, accelerates time to worth, and permits gradual modernization of legacy methods, driving measurable enhancements in engagement, conversion, and marketing campaign effectivity.
LatentView Analytics
CatalogMate is LatentView’s agentic content material intelligence engine constructed to scale product content material and speed up retail development. As AI-powered discovery gateways redefine how shoppers search, evaluate and purchase, CatalogMate decodes multimodal product sheets into high-performing, brand-compliant PDP copy, eliminating handbook bottlenecks. At its core, Databricks Lakebase serves because the low-latency operational knowledge layer a Postgres-native transactional retailer that grounds each technology in dwell, structured product and model attributes, so copy is at all times constructed from the present catalog fairly than stale exports. As a result of Lakebase unifies this operational knowledge immediately on the Databricks platform, CatalogMate repeatedly refreshes content material, pivots with seasonal demand, and integrates real-time buyer suggestions to maintain merchandise discoverable, writing again up to date content material and engagement alerts to the identical supply of reality in actual time. A built-in human-in-the-loop layer retains copywriters in management, verifying and approving each output earlier than it goes dwell. It connects to model guardrails held in Lakebase and enforces model and authorized compliance throughout the pipeline. Optimized for search engine marketing, GEO, and AEO, CatalogMate is engineered to maximise visibility throughout AI-driven discovery channels. Powered by Databricks – from 90-day proof-of-value to international scale. Learn this weblog to be taught extra.
MathCo
Lakebase Accelerator for At all times-on Advertising and marketing Combine Modeling (MMM): Bridging the hole to real-time MMM calls for greater than higher fashions. It requires purpose-built infrastructure. Enterprises face three vital gaps: no persistent knowledge and context layer, no low-latency entry for decisioning, and no reusable knowledge merchandise at scale. Lakebase Accelerator powering MathCo’s answer – At all times-On MMM immediately addresses every. A Unified Information & Context Material constructed on Lakebase, Delta, and Unity Catalog creates a ruled, reusable basis. HTAP-powered tables allow real-time querying and simulation. The Utility & Consumption Layer delivers dwell dashboards and embedded resolution intelligence, whereas the Resolution Intelligence & Agent Layer automates situation planning and finances optimization, driving a 90% improve in consumption by means of real-time, Lakebase-powered apps. Learn this weblog to be taught extra.
Gross sales
KPI Companions
KPI Companions’ Agentic Proposal Generator, constructed on Databricks Agent Bricks and Lakebase, transforms enterprise gross sales by producing hyper-personalized proposals in minutes as an alternative of days. Powered by a multi-agent structure — spanning Data Assistant, Data Extraction, RFP Analyzer, Supervisor, and Compliance Guardrail brokers — the answer grounds AI in dwell enterprise knowledge served at low latency by means of Lakebase. Buyer CRM data, product catalogs, CPQ pricing intelligence, and historic win knowledge are hydrated through MCP immediately into agent context, enabling proposals exactly tailor-made to purchaser personas and enterprise constraints. The end result: a 10X quicker proposal cycle, larger win charges, and captured institutional information — all on Databricks. Learn this weblog to be taught extra.
SunnyData
SunnyCoach is an AI teaching platform that runs dwell, voice-based role-play classes so gross sales and customer-facing groups can apply high-stakes conversations earlier than they occur in actual life. The Resolution makes use of Lakebase as its operational system of file; each conversational flip writes session state, scores, and progress on to Lakebase for low-latency reads and resumable classes, whereas that very same knowledge flows into medallion tables for analytics. A Databricks serving endpoint scores every session towards a rubric in actual time. Groups utilizing SunnyCoach have seen double-digit enhancements in deal conversion and quicker new-hire ramp, a results of a real-time, manufacturing AI software constructed on Lakebase.
Syren Cloud
Syren Gross sales Journey AI is a Databricks-native discipline gross sales planning product constructed round Lakebase as its operational core, hitting all three Lakebase patterns: 1/ Utility growth: a Flask app for 4 person personas writes to Lakebase Postgres for sub-100ms operational UX. 2/ Reverse ETL: Lakebase Sync replicates each write again to Delta Gold in minutes, eliminating CDC pipelines. 3/ Agentic AI with low-latency serving: Agent Bricks brokers question Lakebase for dwell vendor state (overdue, credit score, go to historical past) in beneath 50ms to floor in-field credit score choices and scheme suggestions. Lakebase branching powers zero-copy what-if simulation for regional managers. Learn this weblog to be taught extra.
Provide Chain
Aimpoint Digital
Aimpoint Digital’s Provide Chain Intelligence (ASCI) software helps organizations convert provide chain volatility into aggressive benefit. Powered by superior optimization, Databricks Lakebase, and Genie, ASCI analyzes hundreds of thousands of potential methods to find out the best stability of price, resilience, and operational efficiency. From tariffs and capability constraints to demand volatility and complicated multi-echelon networks, ASCI equips decision-makers to guage situations quickly and act with confidence. The result’s a extra responsive, resilient provide chain and a stronger capacity to align strategic choices with service, danger, and monetary outcomes.
Datapao
Datapao’s Actual-Time Provide Chain Intelligence platform unifies shipments, manufacturing, stock, and danger into one dwell view on Databricks. When disruption strikes, affected shipments are flagged immediately, rerouted robotically, and the influence is traced all the way in which to the manufacturing facility ground in seconds — turning a days-long scramble throughout disconnected methods into an instantaneous, knowledgeable resolution. Constructed on Lakebase, the dwell operational state and analytical layer share one basis, making it AI-ready from day one fairly than after months of integration. It really works throughout any transport mode — ocean, air, rail, highway — and runs what-if simulations so groups can check choices earlier than committing. Learn this weblog to be taught extra.
Manuka
Manuka TwinOS: Manuka’s TwinOS is a Databricks native retail and CPG digital twin constructed on Lakebase, designed to unify operational knowledge, analytical intelligence, and AI pushed motion in a single platform. It creates a dwell mannequin of shops, suppliers, stock, promotions, distribution and achievement flows, then connects that mannequin to Lakehouse analytics and conversational resolution experiences. With Lakebase because the low-latency operational spine, TwinOS permits real-time monitoring, situation simulation, and agentic workflows for provide chain, merchandising, and industrial groups. The result’s a ruled, production-ready resolution OS that helps retailers and CPG manufacturers transfer from perception to motion quicker. Monitor. Predict. Determine. Act. Watch this demo and skim this weblog to be taught extra.
Human Sources
Bitwise
The Bitwise AI-Native Expertise Intelligence Resolution, constructed on Databricks Lakebase and the Databricks Information Intelligence Platform, transforms workforce operations from fragmented record-keeping into an clever, AI-driven resolution platform. Relatively than changing current HCM methods, it enhances them by serving because the System of Work, whereas Databricks turns into the System of Intelligence. Lakebase manages real-time workforce transactions throughout worker profiles, expertise, certifications, studying, mission staffing, efficiency, and workforce planning, repeatedly synchronizing operational knowledge into the Databricks Lakehouse by means of Lakeflow. Powered by a unified Workforce Data Graph and Agent Bricks brokers, the answer permits semantic expertise discovery, clever staffing, predictive attrition evaluation, and customized studying suggestions. Organizations can cut back staffing cycles from days to minutes, enhance billable utilization, proactively establish revenue-at-risk as a result of talent gaps, eradicate complicated ETL pipelines, consolidate a number of workforce functions, and empower enterprise leaders with real-time workforce intelligence for quicker, data-driven choices.
Buyer Service
Celebal Applied sciences
AICXM by Celebal Applied sciences transforms contact heart conversations into real-time, ruled enterprise intelligence on the Databricks Information Intelligence Platform. By capturing 100% of buyer interactions throughout your entire name lifecycle, it delivers measurable outcomes, together with a 20% enchancment in CSAT, first contact decision reaching 82%, a 35% improve in agent productiveness, and nil knowledge loss throughout each interplay. At its core, Databricks Lakebase serves as AICXM’s sturdy system of file. Each accomplished name is written on to Lakebase, the place Delta Dwell Tables enrich the info with intent, sentiment, compliance, and operational alerts, all ruled by means of Unity Catalog, with as much as 30 days of point-in-time restoration. See how AICXM is modernizing contact heart operations with a ruled, enterprise-grade basis in this weblog.
Operations / Challenge Administration
Exponentia.ai
PMOXponent – AI Powered Challenge Operations & Governance Intelligence: PMOXponent is a mission operations accelerator constructed on the Databricks Platform that unifies mission, useful resource, expertise, and governance knowledge from a number of enterprise methods right into a single, trusted Lakehouse. Leveraging Lakebase for real-time operational knowledge, Unity Catalog for safe and ruled entry, and Databricks Apps and Genie for intuitive person expertise, PMOXponent permits leaders and supply groups to ask questions in plain language and immediately acquire insights into utilization, supply efficiency, and general mission well being. The platform goes past analytics by enabling automated actions similar to report technology, proactive e-mail communications, and seamless integration with collaboration instruments. PMOXponent empowers Skilled Companies organizations to enhance useful resource utilization, strengthen decision-making, and implement proactive mission governance at scale by means of self-service intelligence. Watch this demo to be taught extra.
Name to Motion
Speed up Information and AI Outcomes with Accomplice Options
In abstract, these partner-built options present the headstart to construct on Databricks Lakebase because the operational spine for contemporary enterprise workloads. By packaging Lakebase finest practices into domain-specific schemas, automated migration controls, and stateful multi-agent frameworks, our companions are eliminating the standard complexity of digital transformation. Whether or not you might be modernizing legacy databases, deploying autonomous SRE guardians, or constructing real-time buyer personalization engines, you should not have to start out from scratch. Able to eradicate knowledge silos and supercharge your innovation velocity? Discover these accelerators by contacting your account government or these companions to design your customized Lakebase pilot.
Get Began with Brickbuilder Options and Accelerators
Discover our full set of accomplice options and accelerators on the Databricks Brickbuilder web page, together with AI, ML, and Information Engineering centered accelerators and {industry} centered options.