When JSON Met Graph Part 2 of 4 - The Multimodal Database Series A note on naming. Throughout this series, when we say "SQL Server 2025" we also mean Azure SQL. The multimodal capabilities we discuss - native JSON, graph, vector, and columnstore - are available across both the on-premises engine and the Azure SQL family. In Part 1 we descr...
Data API builder (DAB) 1.7+ delivers secure MCP-based CRUD access with deterministic, policy-enforced query generation and an upcoming aggregate tool that enables complex, production-safe analytical questions without exposing raw SQL to AI agents.
Part 1 of 4 - The Multimodal Database Series This is a four-part series about what happens when a single database engine handles relational, document, graph, vector, and analytical workloads natively - and what you stop paying for when it does. You spin up a database, point an agent at it, and start building. The first few tables go fast - user...
The MSSQL Extension for VS Code continues to evolve, delivering features that make SQL development more integrated, more powerful, and more developer-friendly. In version v1.40.0, we're introducing the ADS Migration Toolkit, Basic Database Management, Flat File Import, Database Backup & Restore, Database Object Search, and Query Profiler — six ...
Data API builder (DAB) supports multi-source configurations Data API builder (DAB) connects to your database with a safe REST or GraphQL endpoint. But DAB is not limited to just one database. Using a multi-source configuration, you can connect to more than one database simultaneously. Learn more about Data API builder: https://aka.ms/dab/docs ...
For decades, DBAs relied on linked servers to stitch data together. If you needed data from two places, you wired them up and moved on. It worked. It was straightforward. It felt native to SQL. But what if linked servers are not an option? What if policy blocks them? What if one of the systems is not SQL or lives in another cloud? How do you cross...
Perhaps we missed it at first, but Copilot is more than comfortable with SQL. This goes beyond autocomplete. This is moving from nothing to a working database without leaving our tools. Have we really arrived? Yes, sort of. For database engineers and app engineers alike, we have crossed an important line. Making us more productive is easy for Copi...
The SQL + AI Datathon is a hands‑on challenge designed to show how the foundations for building modern, intelligent applications with SQL. Over a set of guided missions and a focused open hack, you’ll learn how to combine SQL with embeddings, semantic search, and Retrieval Augmented Generation (RAG) to build real AI‑powered experiences. Th...
Applications often need to know what data looked like before. Who changed it, when it changed, and what the previous values were. Rebuilding that history in application code is tedious and error prone. This is especially valuable when exposing a database to an AI agent through MCP servers like SQL MCP Server, where information discovery matters. ...
Applications often need access to data without needing access to everything. Social Security numbers, email addresses, and phone numbers are common examples. Storing them is required. Exposing them broadly is not. This is especially valuable when exposing a database to an AI agent through MCP servers like SQL MCP Server, where safety and reversibil...
