What customers value most in Microsoft Databases—from reliability to AI readiness
Microsoft Databases received 2026 PeerSpot Customer Choice recognitions for reliability, scalability, and AI readiness based on customer feedback. The awards reflect consistent themes across SQL Server, Azure SQL Database, Azure Cosmos DB, and Azure Database for PostgreSQL.
The useful question is what changes for users, developers or buyers, and whether the announcement stays industry context or becomes something people can actually use.
Microsoft Databases earned multiple 2026 PeerSpot Customer Choice / Tech Leader recognitions, based on feedback from practitioners using SQL Server, Azure SQL Database, Azure Cosmos DB, and Azure Database for PostgreSQL in production. Customers consistently cited reliability, scalability, operational simplicity, developer productivity, and AI readiness as key priorities. The recognition underscores the value placed not only on current performance but also on preparing for AI-powered applications.
SQL Server remains foundational for business-critical workloads, with users highlighting stability, long-term data stewardship, and secure role-based access. Hemanth Reddy Vakiti of Cognizant noted SQL Server’s backup and recovery capabilities for handling large datasets, while Isseo Martinez of eGlobal emphasized availability and stability. Organizations seek the reliability of SQL Server combined with the simplicity of a managed cloud service.
Azure SQL Database helps organizations modernize applications, reduce infrastructure management, and scale efficiently. Fredrick Weinshenk of Med Tech Solutions praised its ease of deployment and scalability, while Sathish Palanisamy of a transportation company highlighted performance, cost reduction, and support during migration from Oracle. The platform enables faster, secure AI-driven innovation while retaining trusted SQL skills.
Azure Cosmos DB is favored for low-latency, elastic scalability, and flexible data models in AI-native applications. Kunal Mukerjee of Docusign noted improved search quality and query latency, while Yoni Nijs of Zero Friction described cost-effective scalability for unpredictable workloads. Recent investments focus on vector search, hybrid search, and agent-focused tools to accelerate AI development while maintaining performance and resilience.