Extending Regular Expressions (Regex) Support on Azure SQL Managed Instance (MI)
We are happy to announce the Private Preview of Regular Expressions (Regex) support on Azure SQL Managed Instance (MI). This new feature brings powerful text processing capabilities to your SQL queries, enabling you to perform complex pattern matching and data manipulation with ease. Regex support in Azure SQL The Regex feature in Azure SQL follows […]
The post Extending Regular Expressions (Regex) Support on Azure SQL Managed Instance (MI) appeared first on Azure SQL Devs’ Corner.
Published on:
Learn moreRelated posts
Azure Developer CLI (azd) Nov 2025 – Container Apps (GA), Layered Provisioning (Beta), Extension Framework, and Aspire 13
This post announces the November release of the Azure Developer CLI (`azd`). The post Azure Developer CLI (azd) Nov 2025 – Container App...
Announced at Ignite 2025: Azure DocumentDB, MCP Toolkit, Fleet Analytics, and more!
Microsoft Ignite 2025 kicked off with a wave of announcements for Azure Cosmos DB and Azure DocumentDB, setting the tone for a week of innovat...
Automating Microsoft Fabric Workspace Creation with Azure DevOps Pipelines
In today’s fast-paced analytics landscape, Microsoft Fabric has become the leader of enterprise BI implementations, one of the fundamental con...
New T-SQL AI Features are now in Public Preview for Azure SQL and SQL database in Microsoft Fabric
At the start of this year, we released a new set of T-SQL AI features for embedding your relational data for AI applications. Today, we have b...
Zonal resiliency in Azure
Azure DevOps and GitHub Repositories — Next Steps in the Path to Agentic AI
In May, we talked about the evolution of GitHub Copilot from a coding assistant into an AI powered peer programmer. Since then, GitHub has tak...
Public preview of vector indexing in Azure SQL DB, Azure SQL MI, and SQL database in Microsoft Fabric
We are happy to share that DiskANN vector indexing is now in public preview across Azure SQL Database, Azure SQL Managed Instance, and SQL dat...