On daily basis, clients belief Microsoft Databases to energy their most important functions, enterprise processes, and AI-powered experiences. Steady buyer suggestions supplies invaluable insights into how these applied sciences carry out in manufacturing and the place we must always proceed investing.
I’m honored to share that Microsoft Databases have acquired a number of 2026 PeerSpot Buyer Selection / Tech Chief recognitions based mostly on suggestions from actual practitioners utilizing these applied sciences in manufacturing environments.
This yr, PeerSpot acknowledged:
- SQL Server as a Tech Chief in Database Administration Techniques (DBMS) (#1) and Relational Database Instruments (#1)
- Azure SQL Database as a Tech Chief in Database as a Service (DBaaS) (#2)
- Azure Database for PostgreSQL as a Tech Chief in Open Supply Databases (#1)
- Azure Cosmos DB as a Tech Chief in Managed NoSQL Databases (#1), NoSQL Databases (#1), and Vector Databases (#1)
Buyer suggestions throughout Microsoft Databases constantly highlights 5 themes: reliability, scalability, operational simplicity, developer productiveness, and AI readiness. These are the identical priorities shaping our investments throughout SQL Server, Azure SQL Database, Azure Cosmos DB, and Azure Database for PostgreSQL. The PeerSpot recognition reinforces that clients see worth not solely within the efficiency of our databases at this time, but in addition in how they’re serving to organizations put together for the following era of AI-powered functions.
What clients constantly worth
SQL Server: Trusted reliability for mission-critical workloads
For SQL Server clients, reliability, stability, and long-term information stewardship stay foundational necessities. Organizations proceed to depend on SQL Server to assist business-critical functions, analytics, and more and more AI-enabled workflows.
Hemanth Reddy Vakiti, a knowledge engineer at Cognizant, wrote that “The backup and restoration permit us to simply entry earlier 10 to fifteen years of knowledge”, citing SQL Server’s means to deal with giant datasets and assist safe role-based entry.
One other SQL Server reviewer, Isseo Martinez from eGlobal, referred to as out availability and stability, saying “We by no means have considerations concerning the database.” For many organizations, that confidence is the inspiration for business-critical functions and long-term modernization methods.
Azure SQL Database: Simplifying modernization with cloud-scale SQL
Prospects often inform us they need the reliability and familiarity of SQL Server with the operational simplicity of a completely managed cloud service. Azure SQL Database helps organizations modernize functions, scale back infrastructure administration, and scale with confidence.
Fredrick Weinshenk, a cloud engineer at healthcare IT agency Med Tech Options, wrote that “The convenience of deployment and scalability are vital causes we push our bigger purchasers to Azure,” and described the platform as “dependable” and “stable.”
That suggestions displays a recurring want we hear from clients: modernize infrastructure, scale back operational burden, and retain the SQL abilities, instruments, and software patterns their groups already belief.
Azure Database for PostgreSQL: Open-source flexibility with enterprise reliability
Prospects select Azure Database for PostgreSQL as a result of it combines the innovation of the PostgreSQL ecosystem with the operational advantages of a managed service.
Wesley Haakman, a principal architect at IT service supplier Intercept, utilizing the service throughout lots of of buyer eventualities, shared that “[the] group’s database uptime has improved” and highlighted the benefit of integration with different Azure companies.
Sathish Palanisamy, information engineer at a big transportation firm, stated “We’ve used Azure Database for PostgreSQL for 4 years, benefiting from its efficiency, scalability, ease of integration, and assist, particularly throughout migration from Oracle, whereas additionally decreasing prices and enabling sooner, safe, AI-driven innovation in our airline operations.”
These evaluations spotlight the worth clients place on flexibility, modernization, and a transparent path to AI-powered innovation.
Azure Cosmos DB: International scale and efficiency for contemporary functions
Prospects constructing fashionable cloud-native and AI-powered functions constantly level to Azure Cosmos DB’s mixture of low latency, elastic scalability, versatile information fashions, and search efficiency.
Kunal Mukerjee, former vice chairman of expertise technique at Docusign, stated “Cosmos DB has improved search consequence high quality, throughput, and question latency. There are trade-offs to discovering the candy spot amongst all of those. Having a NoSQL answer that may do this in a one hundred pc Azure store is the perfect match we may need.”
One other buyer, Yoni Nijs, CTO of Zero Friction, described utilizing Azure Cosmos DB serverless for a extremely unpredictable client portal and provisioned throughput with autoscale for a back-office software, noting that the configuration was “… very scalable and nonetheless cost-effective.”
These are precisely the patterns AI functions demand: responsive international techniques that may adapt to altering demand with out sacrificing efficiency or price effectivity.
Taken collectively, these evaluations reinforce a transparent message: organizations need databases that aren’t solely safe and scalable, but in addition prepared for the following era of clever functions.
Turning buyer suggestions into innovation
The themes clients highlighted are the identical themes guiding our investments throughout the Microsoft Databases portfolio. Our objective will not be merely so as to add new options, however to assist clients resolve actual challenges: modernizing present functions, constructing AI-powered experiences, decreasing operational complexity, and scaling with confidence.
SQL Server
Relational databases proceed to energy most of the world’s most important functions. With SQL Server 2025, we’re serving to clients prolong these functions into the AI period with out altering the platforms, abilities, or instruments they already belief. Native vector assist, in-database embedding era, semantic search, and retrieval-augmented era (RAG) capabilities make it simpler to construct clever functions whereas conserving information safe, ruled, and near operational workloads.
Azure SQL Database
With Azure SQL Database, clients get a totally managed cloud-native SQL answer for modernizing and constructing AI functions. Azure SQL Database Hyperscale helps functions scale with demand and develop as wants evolve, whereas computerized tuning and elastic useful resource administration enhance efficiency and price effectivity. Prospects can construct AI-powered experiences on operational information with AI retrieval and safe agent connectivity, with integrations throughout key AI and analytics options like Microsoft Foundry and Microsoft Cloth.
This helps their group construct a direct path from business-critical information to clever functions, with out compromising the safety, governance, and efficiency they anticipate from Microsoft’s SQL platforms.
Azure Database for PostgreSQL
For PostgreSQL on Azure, our investments give attention to serving to clients modernize sooner, speed up AI improvement, and run mission-critical workloads with larger confidence. Highlights embrace the general public preview of Azure HorizonDB, bringing AI-native capabilities comparable to built-in vector search, AI features, AI pipelines, and mannequin administration to PostgreSQL; new migration and improve improvements together with AI-assisted Oracle-to-PostgreSQL migration tooling; and efficiency enhancements comparable to Premium SSD v2, cascading learn replicas, and new high-performance infrastructure choices for Azure Database for PostgreSQL. These improvements are serving to organizations undertake AI capabilities whereas persevering with to profit from PostgreSQL’s open-source ecosystem.
Azure Cosmos DB
For patrons constructing AI-native functions, Azure Cosmos DB investments give attention to serving to builders transfer sooner whereas simplifying operations at scale. Current improvements embrace enhanced vector and hybrid search, semantic reranking, agent-focused improvement instruments, International Secondary Indexes, per-partition computerized failover, richer change feed capabilities, and enhancements to native improvement by means of the Linux Emulator. Collectively, these investments assist builders construct responsive, AI-powered functions sooner whereas sustaining efficiency, resilience, and operational effectivity.
Throughout the portfolio, our objective is constant: assist clients construct functions sooner, function them extra effectively, and put together for a future the place AI is deeply built-in into each software expertise.
Thanks to our clients and group
These PeerSpot recognitions belong at the start to our clients and group.
Each evaluate, product suggestion, assist interplay, preview program dialogue, and buyer dialog helps form the course of Microsoft Databases. Your suggestions helps different expertise leaders make knowledgeable choices, and it helps our groups construct higher merchandise.
On behalf of everybody throughout the Microsoft Databases group, thanks to your belief, your partnership, and your willingness to share your experiences.
I encourage you to learn what your friends are saying, and, if Microsoft Databases are serving to your group innovate, take into account sharing your personal evaluate.