Enterprises face rising strain to modernize their knowledge stacks. Groups want to maneuver away from legacy ETL methods and sophisticated on-premises platforms and shift towards less complicated, scalable architectures. Many organizations nonetheless depend on handbook code conversion, fragmented knowledge pipelines, and time-consuming validation steps. These sluggish migration timelines make it tougher to undertake AI.
Companion-built GenAI accelerators now assist take away this overhead. Databricks companions use Agent Bricks to construct AI brokers that generate SQL and Python code, validate pipeline logic, and recommend enhancements. These brokers learn present workloads and produce schema mappings, migration scripts, and optimized pipelines that run on the Databricks Information Intelligence Platform. This provides engineers a quicker path to parity and lets groups give attention to structure as a substitute of repetitive operational work.
This weblog highlights two classes of accomplice options.
- GenAI Accelerators for Information Engineering: These accelerators automate widespread knowledge engineering duties. Companions constructed methods that learn supply knowledge, create pipeline scaffolding, generate transformation logic, and validate knowledge high quality. Some assist pure language prompts so analysts and engineers can describe duties in plain language. The purpose is straightforward. Cut back the time wanted to construct and keep pipelines and enhance consistency throughout groups.
- GenAI Accelerators for Information and Platform Migration: These options assist prospects transferring from legacy ETL and knowledge warehouse instruments. Accelerators parse present jobs, determine dependencies, convert code to Databricks, and validate outputs. They assist groups migrate quicker, scale back hand-built conversions, and keep accuracy throughout giant transitions.
Greater than twenty companions ship these options. Present companions embody Blend360, Blueprint, Celebal Applied sciences, Cognizant, Elastacloud, Entrada, EXL, EY, Hexaware, Indicium, Infogain, Infosys, Perception, Koantek, LTIMindtree, Persistent Techniques, Shorthills, Slalom, TCS, Tiger Analytics, Wipro, Xebia, zeb, and Zensar.
Companion accelerators give groups a sensible strategy to modernize at scale. In addition they assist organizations begin utilizing GenAI in components of the information lifecycle that profit most from automation. With Databricks and our accomplice ecosystem, enterprises achieve a unified platform and a rising set of AI-driven instruments that shorten supply time and enhance engineering outcomes.
GenAI Accelerators for Information Engineering
Databricks GenAI Companion Accelerators for Information Engineering empower organizations to modernize and scale their knowledge operations with pace and intelligence. Main Databricks companions have constructed these accelerators utilizing Databricks AI and Agent Bricks that mix superior generative AI capabilities with confirmed knowledge engineering frameworks to automate complicated duties comparable to knowledge ingestion, transformation, and pipeline optimization. These accelerators assist pure language interfaces, additional simplifying the work for personas comparable to knowledge analysts, knowledge engineers and knowledge scientists. By leveraging AI-driven insights and prebuilt resolution templates, enterprises can scale back growth cycles, guarantee knowledge high quality, and speed up time-to-value throughout their trendy knowledge stacks. These accelerators signify a brand new period of clever knowledge engineering the place automation meets innovation- enabling groups to give attention to outcomes as a substitute of operations. The next accomplice choices assist with knowledge engineering duties comparable to constructing and modifying knowledge pipelines, knowledge modeling, performing knowledge transformations and validating knowledge high quality:
Blend360 Trellis IQ
Trellis IQ is Blend360’s scalable agentic AI resolution for high-volume knowledge administration, constructed on Databricks. It deploys clever brokers that coordinate knowledge wrangling, harmonisation, and stewardship duties, integrating seamlessly with present methods. The platform transforms unstructured transaction knowledge into analysis-ready datasets by treating inconsistent product names, multilingual entries, and schema variations as pure language issues. Leveraging LLMs for contextual understanding, it operates 102x quicker than handbook processes at 550 data per minute with >90% accuracy. For one world CPG producer, Trellis IQ cleared a 7-year harmonisation backlog in 7 days whereas lowering OpEx prices.
Blueprint Lakehouse Optimizer
The Lakehouse Optimizer by Blueprint is an Augmented FinOps platform that transforms how enterprises handle price, efficiency, and governance throughout their lakehouse. Constructed on the Databricks ecosystem, together with Unity Catalog, Delta Reside Tables, and Workflows, it simplifies spend evaluation, job optimization, and forecasting. With clever suggestions, unhealthy spend detection, automated alerts, and government insights, LHO turns complicated telemetry into clear actions. Organizational mapping and AI-driven optimization assist groups minimize whole price of possession by 30%, enhance efficiency, and reinvest financial savings into high-impact initiatives whereas sustaining governance, compliance, and scalable operations.
Learn this weblog to learn the way the Lakehouse Optimizer helps you maximize your Databricks funding by aligning price, efficiency, and governance right into a unified optimization framework.
Celebal Applied sciences Eagle Eye – Information Observability Accelerator
Eagle Eye by Celebal Applied sciences is a Databricks Brickbuilder Accelerator that delivers AI-powered knowledge observability, anomaly detection, and lineage monitoring inside the Lakehouse structure. It constantly displays pipelines, validates high quality, and detects hidden drifts utilizing ML and LLM capabilities—going past static guidelines to flag inconsistencies earlier than they impression analytics or AI outcomes. Built-in with Unity Catalog, Eagle Eye offers interactive lineage views and actionable alerts that guarantee knowledge transparency, compliance, and accountability throughout industries from banking to retail, remodeling observability into intelligence and enabling enterprises to make assured selections with clear, trusted, and auditable knowledge at scale.
Learn this weblog to learn the way Eagle Eye ensures your knowledge is all the time dependable, well timed, and actionable.
Elastacloud Chat QnA
Elastacloud’s Chat QnA Accelerator allows groups to question distributed enterprise knowledge by means of pure language conversations. Constructed on Databricks AI, it connects to databases, knowledge lakes, and SaaS instruments with out requiring knowledge migration. The answer options an assumptions engine that robotically maps schemas, relationships, and enterprise guidelines, eliminating technical boundaries for non-technical customers. It generates visualizations, maintains full governance by means of Unity Catalog, and ensures all responses are explainable and auditable. Customers obtain context-aware solutions with citations whereas respecting present permissions. Typical deployment takes three to 6 weeks, democratizing knowledge entry and lowering analyst workload whereas sustaining enterprise safety and compliance requirements.
Learn this weblog to learn the way Chat QnA lets your workforce chat instantly together with your knowledge, irrespective of the place it lives.
EXL EXLdata.ai
EXLdata.ai is an agentic AI-native knowledge resolution designed to deal with the #1 barrier to AI adoption: fragmented, unstructured, and non-AI-ready knowledge. This Databricks powered resolution embeds intelligence into each stage of the information lifecycle—modernization, governance, and administration, and offers an open structure for seamless integration into all of the hyperscalers and Databricks. The outcomes pushed are to rework knowledge into trusted, AI-ready inputs that gasoline smarter, quicker enterprise selections. The EXL.knowledge.ai resolution additionally converts fragmented enterprise knowledge into ruled, AI-ready property, rushing up time-to-insight and enabling assured decision-making throughout operations, finance, and buyer engagement.
Learn this press launch to learn the way EXLdata.ai helps to resolve enterprises’ greatest problem in making knowledge prepared for AI.
EY Information Fusion
EY’s Information Fusion is a cloud-native, AI-driven knowledge administration resolution constructed on Databricks’ Information Intelligence Platform to fulfill the complicated knowledge and analytics calls for of monetary establishments. It simplifies knowledge processing and delivers trusted, AI-ready knowledge by means of an intuitive interface. By leveraging Unity Catalog, scalable compute, and built-in ML and GenAI capabilities, Information Fusion seamlessly handles large-scale knowledge and AI workloads whereas making certain sturdy efficiency, governance, and compliance. Superior AI options—comparable to automated knowledge high quality checks, PII/PCI detection, pure language-based knowledge mapping and exploration — enhance effectivity and improve knowledge belief throughout the enterprise.
Watch this video to find how EY Information Fusion allows environment friendly knowledge administration and delivers trusted, AI-ready knowledge for monetary establishments.
Infosys DE.AI
Infosys DE.AI is an AI-powered Professional Code DevX accelerator designed for the Databricks ecosystem. Working as an clever pair programmer, it streamlines knowledge engineering workflows by helping with knowledge migration, ELT/ETL growth, code optimization, and DevOps integration. Embedded within the knowledge engineering lifecycle, DE.AI makes use of customized MCP connectors to generate, refactor, and optimize PySpark, SQL, and DLT code with context-aware options. Its Auto Migrator allows autonomous migration journeys, changing legacy methods like Informatica XML to Databricks by means of intuitive prompts and slash instructions. Seamlessly built-in with Databricks Asset Bundles, Unity Catalog, and Delta Reside Tables, DE.AI ensures ruled, scalable enterprise deployments.
Learn this POV to learn the way agentic AI transforms the lifecycle by offloading the vast majority of efforts to clever brokers.
LTIMindtree SSIS to PySpark Migration
LTIMindtree’s SSIS-to-PySpark Migration Resolution automates the transformation of legacy SSIS packages into scalable PySpark pipelines on Databricks. Utilizing a multi-agent structure orchestrated by means of LangGraph, it handles evaluation, logic conversion, and documentation whereas preserving enterprise intent. The modular design affords flexibility for integration with various orchestration frameworks, enabling seamless adaptation. By changing 1000’s of complicated, undocumented packages right into a repeatable course of, LTIM accelerates modernization, reduces threat, and ensures precision and traceability all through migration.
Learn this weblog to learn the way this accelerator leverages AI brokers orchestrated by means of frameworks like LangGraph to construct an clever, modular migration utility.
Persistent Techniques iAURA Information Observability
Information high quality points, inconsistent reconciliations, and rancid or delayed knowledge proceed to undermine belief in analytics. iAURA Information Observability, constructed natively on the Databricks Lakehouse, offers steady, clever monitoring of information high quality, reconciliation, and freshness throughout pipelines. It robotically detects schema drift, anomalies, and inconsistencies earlier than they have an effect on downstream insights. With adaptive studying, it refines high quality thresholds with out handbook intervention and shifts groups from reactive troubleshooting to proactive, insight-driven operations. Automated reconciliation and unified knowledge well being dashboards allow quicker concern decision and diminished reliance on handbook checks. Organizations adopting iAURA have seen 30–40% fewer knowledge high quality incidents and considerably improved confidence in analytics and AI outcomes.
Learn this weblog to learn the way this accelerator constantly displays knowledge high quality, reconciliation, and freshness.
Persistent Techniques iAURA Information Modeler & Mapper
Organizations modernizing on the Databricks Lakehouse usually wrestle with inconsistent knowledge definitions, sluggish mannequin growth, and restricted agility as enterprise wants evolve. iAURA Information Modeler & Mapper addresses these challenges by means of Agentic AI–pushed automation. It connects to supply methods or ingests schema recordsdata, robotically figuring out entities, attributes, relationships, and metadata—lowering handbook discovery and mapping effort by 40–50%. iAURA then proposes optimized knowledge warehouse schema designs, together with reality/dimension buildings and source-to-target mapping with transformation logic. It additional accelerates KPI standardization by 35–45% and generates full documentation and ER diagrams. The result’s a quicker, constant, and business-aligned modeling expertise on Databricks.
Learn this weblog to learn the way this accelerator automates schema mapping and transformation logic.
Slalom LakeSpeak – An MCP Shopper with Genie Assist
Slalom’s LakeSpeak is a production-ready accelerator that brings graph intelligence to the Databricks Lakehouse with native Genie (MCP) assist. It allows AI brokers to purpose throughout relationships, metrics, and real-time knowledge utilizing pure language — delivering intelligence that’s correct, contextual, and explainable throughout the enterprise.
Learn this weblog to learn to activate Databricks intelligence in each workflow.
TCS Agentic Ops
TCS Agentic Ops automates incident identification and determination to enhance operational effectivity. This scalable AI resolution extracts data from incidents and logs, classifies points, offers tailor-made suggestions, and autonomously implements fixes. Constructed on Databricks, the brokers are simply configurable and adaptable to evolving knowledge landscapes. Organizations can scale back operational overhead by 30-40% whereas gaining larger visibility and management over incident administration, enabling quicker, extra agile responses to essential points.
Tiger Analytics Clever Information Specific (IDX)
Tiger Analytics developed Clever Information Specific (IDX), an AI-powered, metadata-driven accelerator for Databricks Lakehouse modernization (from ingestion, transformation, DQ to perception technology). This multi-layered resolution combines a Databricks Lakehouse basis with reusable micro-services and twin person experiences (internet UI + conversational agent). IDX allows ruled self-service and AI automation throughout the information lifecycle, accelerating Lakehouse and data-product supply by 40%+. Its core innovation is deep Generative AI embedding. An agentic AI layer (constructed on Agent Bricks) powers automated supply evaluation, information extraction, AI-driven data-quality inference, and computerized pipeline metadata technology from pure language. IDX additionally transpiles legacy SQL/ETL to optimized PySpark/Spark-SQL and affords a conversational Information Engineering co-pilot, remodeling modernization into an clever, steady functionality.
Learn this weblog to be taught extra about how IDX makes knowledge platforms quicker to construct, simpler to handle, and prepared for intelligence.
Tiger Analytics iDEA (Clever Information Engineering Agent)
iDEA (Clever Information Engineering Agent) by Tiger Analytics is an AI-powered accelerator that transforms how enterprises engineer, handle, and eat knowledge on the Databricks Lakehouse. Constructed for each Information Engineers and Enterprise Customers, iDEA offers a unified conversational interface that bridges technical precision with enterprise agility. iDEA automates each stage of the information product journey from ingestion, transformation, high quality validation, and governance to discovery, analytics, and visualization. By understanding pure language intent, iDEA intelligently orchestrates workflows, enforces compliance, and delivers actionable insights immediately, empowering organizations to automate the entire Information Product Lifecycle end-to-end.
Learn this weblog to learn the way this accelerator brings agentic intelligence to the Databricks Lakehouse, remodeling how groups construct, handle, and belief knowledge.
Tiger Analytics Automated Information High quality (ADQ)
Tiger Analytic’s Augmented Information High quality (ADQ), powered by Generative AI, transforms handbook, reactive knowledge high quality processes into proactive belief. Its superior “Agentic Structure” robotically profiles knowledge, enriches metadata, and recommends complicated DQ guidelines in minutes. ADQ strikes past easy checks to carry out superior anomaly detection, figuring out business-centric microsegments and flagging outliers with pure language explanations. This framework saves > ~60% in handbook effort, constructing a brand new basis of information belief and reimagining knowledge governance.
Learn this weblog to learn the way this framework makes use of Generative AI to detect anomalies, suggest dynamic guidelines, and construct a basis of information belief.
zeb Agentic MDM for FSI
zeb’s Agentic MDM for Monetary Companies accelerator automates and unifies fragmented knowledge reconciliation utilizing agentic AI on the Databricks Lakehouse. It consolidates funds, securities, counterparties, and consumer knowledge right into a single supply of fact whereas making certain compliance with Basel III, Dodd-Frank, and GDPR. With Unity Catalog for safety and governance, it reduces handbook reconciliation efforts by as much as 90% and allows AI-ready knowledge for threat administration and innovation.
Learn this weblog to learn the way this accelerator brings agent-driven perception, automated entity unification, and centrally ruled mastering into one streamlined framework.
zeb Retail Agentic Information Activation
zeb’s Retail Agentic Information Activation accelerator, powered by the Databricks Information Intelligence Platform, helps retailers and client items firms standardize vendor and provider knowledge into constant schemas. Utilizing agentic AI for clever content material interpretation and zero-code pipeline technology, it accelerates onboarding and ensures knowledge high quality. Constructed with Unity Catalog for governance, the answer delivers as much as 90% quicker onboarding and enhanced knowledge accuracy throughout tens of millions of SKUs.
Learn this weblog to learn the way this accelerator transforms various vendor and producer feeds right into a unified and dependable product knowledge basis.
GenAI Accelerators for Information and Platform Migration
Information migration is the method of transferring knowledge between completely different methods, storage codecs, or cloud environments. In an AI-first world, that is now not simply an IT chore—it is a foundational enterprise crucial. Synthetic intelligence and machine studying fashions are basically depending on huge portions of high-quality, accessible knowledge for coaching and producing correct insights. Legacy methods usually maintain worthwhile knowledge locked in inefficient silos, making it unusable for contemporary analytics. Migrating this knowledge to trendy, scalable cloud platforms is the essential first step to unlocking its potential, making certain it’s clear, consolidated, and able to gasoline highly effective AI-driven innovation.
Nonetheless, legacy knowledge and platform migrations are notoriously complicated, sluggish, and costly. We’re thrilled to introduce a brand new period of effectivity with GenAI Accelerators for Information and Platform Migration from migration companions. Our main consulting and system integrator companions are leveraging generative AI to automate complicated duties like SQL and ETL code conversion, and deploying agentic AI options to intelligently orchestrate workflows and validate knowledge autonomously. This groundbreaking strategy is already delivering unbelievable outcomes, enabling organizations to speed up their migration timelines by as much as 70% and scale back handbook effort by greater than 50%. Say goodbye to migration bottlenecks and good day to a wiser, quicker, and less expensive path to modernization.
Say goodbye to migration bottlenecks and good day to a wiser, quicker, and less expensive path to modernization with migration accelerators listed beneath:
Cognizant Cloud Information Migration Manufacturing facility
Cognizant’s Cloud Information Migration Manufacturing facility streamlines migration of legacy methods to the Databricks Information Intelligence Platform utilizing superior knowledge engineering, NLP, and pre-trained LLMs. This generative AI-powered co-pilot enhances code high quality, accelerates decision-making, and automates the modernization course of by means of a confirmed end-to-end methodology. The answer reduces migration prices by 40–60%, strengthens safety with Unity Catalog integration, and accelerates AI-driven analytics for smarter insights. Organizations obtain quicker venture completion, improved accuracy, and vital productiveness features whereas transitioning huge utility and database portfolios to cloud platforms aligned with their enterprise goals.
Try this extra touchdown web page to be taught extra about how Cognizant revolutionizes the journey from insights to analytics throughout the information worth chain.
Entrada SASquatch
Dealing with excessive SAS prices, restricted scalability, and sophisticated compliance wants, organizations wrestle with trendy AI adoption. Handbook migration to Databricks is dangerous, usually failing because of proprietary code and hidden dependencies. Entrada’s SAS-to-Databricks Accelerator delivers a sensible, speedy, and cost-effective resolution. It automates code translation, dependency mapping, and knowledge optimization, attaining migrations as much as 80% quicker. The accelerator modernizes workloads on Databricks’ open platform, lowering Whole Value of Possession and eliminating licensing charges. It ensures 100% compliance by way of Unity Catalog and options self-healing mechanisms, empowering organizations to unlock superior analytics and AI at scale.
Learn this weblog to learn the way SASquatch delivers a sensible, speedy, and cost-effective path ahead.
EXL Code HarborTM: SAS to Databricks Migration Accelerator
EXL’s Code HarborTM is a GenAI resolution that automates the migration of legacy codebases to trendy open-source languages and cloud platforms like Databricks. Specializing in SAS-to-Databricks transformation, it additionally helps BTEQ, HQL, PL/SQL, SQL Server, R, and ETL platforms, together with Informatica, Alteryx, and DataStage. Designed for insurance coverage, banking, and healthcare sectors, Code Harbor combines EXL’s area experience with AI capabilities whereas supporting on-premises, cloud, and hybrid environments. A world insurance coverage supplier achieved 50% quicker SAS migration to Databricks utilizing Code Harbor, with minimal handbook intervention, enhanced compliance by means of complete metadata documentation, and seamless governance framework integration.
Learn this press launch to learn the way this accelerator helps enterprises streamline their transition from SAS to Databricks to assist enhanced cloud modernization initiatives.
Hexaware Amaze Migration Accelerator
Speed up your journey from legacy SAS to trendy PySpark with AMAZE, Hexaware’s Migration Accelerator, powered by the Databricks Information Intelligence Platform. This AI-driven resolution automates the end-to-end conversion of SAS workloads into optimized, cloud-native PySpark notebooks—lowering migration timelines by as much as 80%. With GenAI and LLM-powered automation, AMAZE delivers as much as 5X quicker conversion pace, 70% out-of-the-box accuracy, and considerably decrease whole price of possession. Enterprises profit from modularized, maintainable code and scalable analytics capabilities. By modernizing on Databricks, organizations unlock a unified knowledge basis, simplify operations, and speed up their AI and analytics transformation with a cloud-native strategy constructed for scale.
Learn this flyer to learn to make the swap to Python for higher AI readiness.
Indicium AI Migration Brokers (Prompt2Pipeline)
Migrating to Databricks now not must be a posh or time-consuming course of. Indicium’s AI Migration Brokers (Prompt2Pipeline) mix generative AI and Agentic automation to interpret legacy code and enterprise logic, remodeling them into Databricks-native, high-performance pipelines — as much as 7 occasions quicker. The answer accelerates modernization throughout industries, bettering governance, efficiency, and price effectivity, whereas enabling enterprises to maneuver seamlessly from knowledge debt to knowledge intelligence on the Databricks Information Intelligence Platform.
Learn this weblog to be taught extra about how Prompt2Pipeline is accelerating modernization with AI migration brokers.
Infogain iRAPID SAS to Databricks Migration Accelerator
Say goodbye to costly, siloed SAS environments. Infogain is partnering with Databricks, by means of their Brickbuilder Accelerator iRAPID: SAS to Databricks – PySpark Migration suite, to revolutionize knowledge modernization, changing complicated SAS procedures, EGP recordsdata, and macros into scalable PySpark code utilizing GenAI automation. Their confirmed framework delivered gorgeous outcomes: migrations that after took months now accomplished 50% quicker with 95% accuracy.
Learn this weblog to learn the way Infogain helps you unlock real-time analytics, deal with the whole lot from stock evaluation to automated validation, and scale by means of a cloud-native, open platform.
Perception Agentic Information Architect & Modeler
Perception Agentic Information Architect & Modeler (ADAM) is a modular resolution leveraging AI and LLMs on Databricks to simplify knowledge integration, modeling, and governance. Automated brokers deal with schema discovery, metadata enrichment, and knowledge mannequin creation, lowering handbook work and accelerating outcomes. The framework consists of enterprise person workflows for metadata overview and approval, making certain knowledge high quality and compliance. It helps safe operations together with HIPAA/PHI necessities with versatile deployment choices. Constructed on Databricks Agent Bricks, Perception Adam allows speedy knowledge platform modernization, quicker analytics, and larger agility whereas sustaining sturdy governance, enterprise catalog integration, and steady pipeline enchancment.
Koantek X2D Migration Accelerator
X2D is Koantek’s AI-driven migration accelerator, remodeling legacy knowledge ecosystems into the Databricks Lakehouse in weeks, not years. Utilizing agentic AI and clever routing, X2D delivers 80% automated code conversion, lowering migration timelines by 60%. The platform combines AI-powered transpilation with Databricks Lakebridge integration, supporting 30+ knowledge platforms, orchestration instruments, and BI sources. SOC2/GDPR compliant, X2D’s enterprise-grade options embody clever wave planning for enterprise continuity, parallel validation making certain zero knowledge loss, and Unity Catalog-native governance. Koantek has migrated petabyte-scale environments utilizing X2D in below 12 weeks for Fortune 500 enterprises, delivering fast ROI by means of diminished operational prices and accelerated time-to-insight.
Learn this weblog to learn to migrate legacy EDW/ETL to the Databricks Lakehouse 3x quicker with ~60% decrease price and near-zero threat.
LatentView MigrateMate
LatentView MigrateMate is an automatic, platform-agnostic knowledge migration resolution that makes it easy to maneuver your most useful knowledge from on-premise methods to the cloud. Objective-built for modernization, MigrateMate integrates seamlessly with Databricks to ship a easy, end-to-end migration right into a safe and scalable lakehouse basis prepared for analytics, AI, and governance. By combining automation, knowledge deduplication, and clever optimization, MigrateMate helps organizations minimize migration prices by 30% to 40% whereas sustaining knowledge high quality and integrity. Its Databricks-enabled workflows bridge system compatibility gaps and speed up time to perception, turning complicated migrations into a quick, dependable, and value-driven transformation journey.
Learn this weblog to learn the way MigrateMate incorporates GenAI for discovery, conversion, and automatic validation.
LTIMindtree Scintilla.ai (SAS to Python/PySpark Migration)
Trendy companies must migrate from costly, rigid SAS methods to scalable cloud platforms like Databricks, however handbook code conversion is sluggish and dangerous. LTIMindtree’s Scintilla.ai affords an clever, automated resolution utilizing a multi-agent system that analyzes SAS code, converts it to optimized PySpark, and validates outcomes for accuracy. This preserves enterprise logic whereas lowering handbook effort by 80%. The platform integrates seamlessly with Databricks and Unity Catalog, enabling organizations to retire expensive SAS licenses and embrace cloud agility confidently, remodeling complicated migrations into managed, environment friendly transitions.
Learn this weblog to be taught extra and go to this web page for added particulars concerning the accelerator.
Persistent Techniques iAURA Agentic ETL & DWH Migration
Modernizing legacy ETL and knowledge warehouses is complicated because of tightly coupled pipelines, undocumented logic, and large-scale knowledge validation wants. iAURA Agentic ETL and DWH Migration, constructed natively on the Databricks Lakehouse, streamlines this course of utilizing GenAI and agentic automation. It helps migrations from platforms like Oracle, Teradata, Informatica, DataStage, SAS, Snowflake, and extra. iAURA robotically parses legacy ETL code, extracts enterprise guidelines, maps dependencies, and generates Databricks-native pipelines in PySpark, SQL, or Delta Reside Tables. Automated knowledge reconciliation ensures accuracy and parity. Enterprises obtain 30–50% quicker migration, decrease prices, and a smoother, extra dependable modernization journey to Databricks.
Learn this weblog to learn the way iAURA assist enterprises modernize with intelligence, automation, and pace on the Databricks Information Intelligence Platform.
Shorthills AI KodeBricks
KodeBricks by Shorthills AI is a Generative AI accelerator constructed on Databricks that automates knowledge pipeline creation and migrates knowledge and ETL scripts to Databricks. Utilizing Vibe Coding, it permits builders to offer directions in plain, conversational English, which KodeBricks then converts into production-ready pipelines. By automating duties like cluster setup, pipeline technology, and governance, KodeBricks cuts down time spent on handbook configurations, liberating as much as 50% time spent on these important non-coding duties. It writes high-quality and environment friendly Spark code from intent and Databricks SQL and creates structured notebooks staying inside the developer’s IDE. This ends in quicker, error-proof supply, improved productiveness, and better effectivity throughout your group.
Learn this weblog to learn the way Shorthills AI’s KodeBricks helps you construct quicker, smarter, and extra environment friendly pipelines.
Wipro Legacy Modernization Instrument
Wipro’s Legacy Modernization Instrument, powered by Azure Databricks, reimagines enterprise transitions from legacy methods like SAS to trendy open-source ecosystems. The platform automates SAS-to-Python and SAS-to-PySpark conversion with excessive accuracy, delivering detailed code insights, syntax validation, lineage monitoring, and production-ready outputs with minimal handbook effort. AI-powered brokers robotically detect and proper logical errors in SAS knowledge steps, macros, procedures, and capabilities. Constructed on Azure Databricks, it offers scalable compute for evaluation, debugging, conversion, and documentation. The answer accelerates modernization, reduces migration complexity, and preserves present SAS asset worth whereas enabling quicker innovation.
Xebia Agentic Information Pipeline Migrator
Xebia’s Agentic Information Pipeline Migrator accelerates migrations to Databricks by automating SQL and ETL modernization utilizing a multi-agent framework powered by Databricks-native LLMs. The migrator analyzes supply workloads from Snowflake, Redshift, BigQuery, Postgres, MySQL, and SQL Server, then interprets, validates, and rebuilds them as optimized Databricks pipelines. Groups obtain a totally auditable report that preserves logic, lineage, and efficiency. What as soon as required weeks of handbook recoding now completes in hours, lowering threat and offering organizations with a quick and dependable path into Databricks.
Learn this case research to be taught extra on how Xebia helped Modernize a World E-Commerce Information Pipeline with Agentic AI on Databricks.
Zensar Applied sciences ZenseAI.Information
Trendy enterprises must simplify knowledge ecosystems and unlock worth trapped in legacy ETL and EDW platforms. ZenseAI.Information, Zensar’s next-gen accelerator, automates migrations to the Databricks Information Intelligence Platform—lowering timelines by 30–40%. It delivers structured, clear modernization with automated lineage, code translation, and validation, making certain compliance and predictability. Past migration, ZenseAI.Information allows unified, ruled knowledge foundations for AI-ready architectures, real-time insights, and industry-specific outcomes. Along with Databricks, it lays the groundwork for agentic AI, empowering enterprises to monetize knowledge, drive automation, and scale innovation.
Learn this weblog to learn the way Zensar streamlines and automates migrations from legacy methods to Databricks.
Streamline Information Engineering and Migration
The period of GenAI and Agentic AI is right here, and accomplice options and accelerators for knowledge engineering and migration constructed on the Databricks Information Intelligence Platform are key to eradicating the undifferentiated heavy lifting required by knowledge professionals. By leveraging these purpose-built accelerators, firms can empower their knowledge engineers to be extra productive and focus their efforts on high-value knowledge engineering duties. Whether or not you are trying to enhance effectivity of your knowledge engineering workforce or pace up migration efforts to Databricks, our companions are prepared that can assist you speed up your knowledge, analytics and AI journey.
Keep tuned for the subsequent weblog within the sequence, the place we’ll share GenAI accomplice options aligned to industry-specific outcomes. The primary weblog within the sequence launched cross-industry accelerators for Agentic AI, GenAI and LLMOps.
Get began with Brickbuilder Options
At Databricks, we frequently collaborate with system integrators and consulting companions to allow extra use circumstances throughout knowledge, analytics, and AI. Need to get began? Along with Agentic AI Techniques, Cross-Business GenAI Use Circumstances, Cross-Business GenAI Frameworks, and LLMOps Accelerators, take a look at our full set of accomplice options and accelerators on the Databricks Brickbuilder web page.
Create a Brickbuilder for the Databricks Information Intelligence Platform
Brickbuilders are a key element of the Databricks Companion Program and acknowledge companions who’ve demonstrated a novel capacity to supply differentiated knowledge, analytics, and AI options and accelerators together with their growth and deployment experience.
Companions who’re occupied with studying extra about the best way to create a Brickbuilder Resolution or Accelerator are inspired to e-mail us at [email protected].