🔟 Top 10 Features of SQL Server 2025
- AI Integration in the Engine
- Execute AI models natively within SQL Server.
- Seamless integration with Azure AI, OpenAI, LangChain, and Semantic Kernel.
- Native Vector Support
- Store and query vector embeddings directly.
- Enables semantic search and Retrieval-Augmented Generation (RAG) use cases.
- Copilot in SSMS
- Use natural language to write and explain SQL queries.
- Enhances developer productivity and learning.
- Real-Time Change Event Streaming
- Track inserts, updates, and deletes as they happen.
- Stream changes to Azure Event Hubs in JSON or Avro formats.
- Data Mirroring to Microsoft Fabric
- Replicate SQL Server data to Microsoft Fabric effortlessly.
- Supports hybrid analytics and real-time dashboards.
- Enhanced
sp_executesql
Performance- Minimizes compilation overhead.
- Optimized for dynamic SQL execution.
- External AI Model Management
- Register and invoke AI models using T-SQL.
- Supports REST-based inference calls.
- Vector Indexing with DiskANN
- High-speed approximate nearest neighbor search.
- Scales efficiently for large vector datasets.
- Smarter Query Store & IQP Enhancements
- Improved visibility into query performance.
- Better plan stability and regression detection.
- Broader Language & Platform Compatibility
- Expanded support for development languages.
- Improved cross-platform functionality (Linux, containers, Azure).
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