Showing category results for Azure SQL

The Agent-Ready Database: Security, Backup, and MCP Part 4 of 4 – The Multi-Model Database Series This is the final post in a four-part series on multi-model databases in SQL Server 2025 and Azure SQL - exploring how the optimizer, storage engine, and security layer treat each data model as a first-class citizen under one roof. In Part 1: The ...

SQL MCP Server gives enterprises a secure, feature-rich way to enable agents to access data. This is accomplished without exposing the schema, risking consistency, or relying on fragile natural language parsing. SQL MCP Server is a feature of Data API builder, so deployments have a proven entity abstraction system, RBAC security at the API layer wi...

Vectors, Analytics, and the End of ETL Part 3 of 4 - The Multi-model Database Series In Part 1: The Polyglot Tax we laid out the fraud detection scenario: a transaction comes in, and before you approve or deny it you need five checks. Order history (relational). Device fingerprint (JSON). Connections to fraud rings (graph). Transactions that lo...

SQL code analysis has been part of the SSDT workflow for a long time. Before deploying a schema change, you could run a set of static analysis rules against your project to catch potential issues, things like missing primary keys, deprecated syntax, or objects that could break under certain compatibility levels. It was one of those SSDT features th...

Making schema changes often means jumping between tools. You write code in VS Code, then switch to a separate tool to deploy your changes : exporting a script, running it manually, or copy-pasting into a query editor. Either way, it pulls you out of your flow. With the latest updates to SQL Database Projects in VS Code, that context switching is n...

Remember when we announced the Public Preview of DiskANN vector indexes back in November and mentioned that once you created the index, your table became read‑only? Yeah… about that... 😅 We shipped early because the demand for Vector search in SQL was overwhelming. We knew the constraints weren’t ideal, but we also knew the fastest way to get this ...

The MSSQL extension for VS Code v1.41 continues to evolve, delivering features that make SQL development more integrated, more powerful, and more developer-friendly. In this release, we're introducing the Public Preview of Schema Designer with GitHub Copilot, Data API builder, and SQL Notebooks, along with the General Availability of Data-tier ...

When JSON Met Graph Part 2 of 4 - The Multi-model Database Series A note on naming. Throughout this series, when we say "SQL Server 2025" we also mean Azure SQL. The multi-model 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 des...

Part 1 of 4 - The Multi-model 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 - use...

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 ...