REST APIs, Vectors, and AI in SQL Server 2025
In this Data Exposed: MVP Edition episode, Ben Weissman, a Microsoft MVP, discusses how REST APIs, vector data, and AI capabilities are shaping SQL Server 2025 and what this means for data professionals and developers.
REST APIs, Vectors, and AI in SQL Server 2025
In this episode of Data Exposed: MVP Edition, Ben Weissman, a recognized Microsoft MVP and Data Platform expert, discusses the latest advancements in SQL Server 2025. The episode focuses on three key areas:
REST API Integration: SQL Server 2025 brings native support for REST APIs, making it easier for developers to interact with data, integrate external applications, and automate processes using standard HTTP requests.
Vector Data Support: With the increasing adoption of AI workloads, SQL Server 2025 introduces native vector data handling, allowing storage and querying of vector embeddings. This is particularly relevant for machine learning and AI-powered search scenarios, such as integrating with generative AI models or semantic search within databases.
AI Features in SQL Server: The episode highlights how SQL Server is evolving to support modern AI practices, including running AI workloads, integrating with Azure AI services, and enabling richer analytics directly inside the database.
Demo
Ben demonstrates how to:
- Expose SQL Server functionality as REST endpoints
- Store and retrieve vector data for AI use cases
- Leverage built-in AI features and integrate with Azure AI capabilities
Resources
- Learn about Ben Weissman: Ben Weissman Bio
- More Data Exposed episodes: Playlist
- Azure SQL Twitter: @AzureSQL
- Subscribe to: Microsoft Azure SQL | Microsoft SQL Server | Microsoft Developer
Key Takeaways
- SQL Server 2025 is increasingly oriented toward modern data, AI, and developer scenarios
- REST APIs and vector data types open up new extensibility and performance options
- The integration with Azure services expands the reach of on-premises and hybrid data workloads
About the Speaker
Ben Weissman has extensive experience in BI and data warehousing on the Microsoft platform and is a leading voice in data platform innovation.