Azure SQL Dev Corner
Voices from the Azure SQL PM Team, focusing on development and developers
Latest posts
The Polyglot tax – Part 4
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 Polyglot Tax, we described the trajectory: you spin up a database, point an agent at it, and start building fast. The complexity comes later - JSON, graph, vectors, analytics - and each new requirement tempts you to spin up another database. In Part 2: When JSON Met Gra...
Introducing SQL MCP Server
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 with Azure Key Vault integration, custom OAuth and Microsoft Entra support, first-level and second-level caching with integration with Redis and Azure Managed Redis, and complete instrumentation and telemetry with integration with Azure Log Analytics, Application Insights...
The Polyglot tax – Part 3
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 look like this one (vector similarity). Statistical baselines across millions of rows (analytics). Five data access patterns, five databases in the polyglot model, five sets of everything that can break. In Part 2: When JSON Met Graph we handled the first three. We store...
SQL code analysis in VS Code: Configure rules without editing your project file
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 that teams quietly relied on without thinking much about it. When developers started moving their SQL Database Projects workflow to VS Code, code analysis came with them. But configuring which rules to enable or disable required editing the .sqlproj file directly, not a ...
Manage SQL database schemas in VS Code: Publish dialog and item templates
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 no longer necessary. You can now manage and deploy schema changes to Azure SQL, SQL Server, or Fabric SQL databases without leaving your editor. What's new: Publish dialog and item templates We've added two features to the SQL Database Projects extension for VS Code th...
DiskANN Vector Index Improvements
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 into your hands was to iterate in public. You gave us feedback. Lots of it! And today, we’re excited to say: those major preview limitations are gone. We are happy to announce that the DiskANN Vector Index public preview just received a major upgrade, removing the in...
MSSQL Extension for VS Code: SQL Notebooks, AI-Powered Schema Design, Data API builder & More
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 Application, Fabric integration, and SQL Database Projects static code analysis: seven capabilities that bring AI-powered schema design, instant API generation, interactive notebooks, and enterprise-grade tooling directly into your development workflow inside Visual Stu...
The Polyglot tax – Part 2
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 described the moment every fast-moving project hits: the agent built your prototype in a morning, and now the product team wants features that do not fit neatly into relational tables. Device fingerprints arrive as nested JSON. The anti-fraud team needs to trace connection...
What questions will you ask your data agent?
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.