We’re halfway through 2026, and Microsoft SQL has not slowed down. Since SQLCon/FabCon in March (where we released a ton of things, and those updates can be found in this updates video), we shipped a wave of updates across SQL Server, Azure SQL, and SQL database in Fabric, with Microsoft Build 2026 as the centerpiece. If you want the details on Bui...
If you work with Microsoft SQL regularly, the AI conversation right now probably feels a little exhausting. Every week brings a new platform, a new pattern, a new opinion about how you’re “supposed” to build AI apps. Most of it assumes you’ll start over.
You don’t have to.
We’re running SQL AI App in a Day workshops with Microsoft partners ar...
At a glance — Native regular expression (regex) functions in T-SQL now accept and inputs of up to 2 MB across all seven regex functions, including the two table-valued functions ( and ). This capability ships in SQL Server 2025 CU5 and is already available in Azure SQL Database, SQL Database in Fabric and Azure SQL Managed Instance configured wit...
Artificial Intelligence is evolving rapidly. What began as simple prompt-and-response systems is now transforming into fully autonomous, agentic AI architectures capable of reasoning, orchestrating tools, interacting with enterprise data, and invoking external systems dynamically. While these capabilities unlock enormous business potential, they al...
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 ...
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...
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...
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...