January 2026 was a wake-up month for enterprise security teams. In a single week, CERT-In released three high-severity ...

Weekly cybersecurity recap covering emerging threats, fast-moving attacks, critical flaws, and key security developments you ...

Discover the leading database management systems for enterprises in 2026. Explore key features, pricing, and implementation tips for selecting the best DBMS software to harness your data effectively.

Microsoft has released SQL Server Management Studio (SSMS) 22 Preview 3, introducing native ARM64 support and deeper GitHub Copilot integration for AI-assisted coding and inline chat. The preview also ...

Microsoft has announced that SQL Server Integration Services (SSIS) is now officially supported in the latest SQL Server Management Studio (SSMS) 22 Preview 3. This release is quite important for ...

As SQL development increasingly becomes part of full-stack workflows, developers are looking for ways to simplify their tooling without compromising capability. While SQL Server Management Studio ...

The Java ecosystem has historically been blessed with great IDEs to work with, including NetBeans, Eclipse and IntelliJ from JetBrains. However, in recent years Microsoft's Visual Studio Code editor ...

The Azure SQL team has released version 1.34.0 of the MSSQL extension for Visual Studio Code, a cross‑platform tool for developing against SQL Server, Azure SQL Database and SQL Database in Fabric.

Software supply chain company JFrog Ltd. today introduced a new Model Context Protocol server designed to connect large language models and artificial intelligence agents securely to its Software ...

We take pride in delivering innovation with each new version of Microsoft SQL Server. However, there comes a time when product lifecycles must conclude. On July 14, 2026, SQL Server 2016 will reach ...

For as long as I can remember, I have always configured the computers within my own organization to store data on network servers as opposed to the data being stored on workstations. That way, if one ...

One of the biggest issues with large language models (LLMs) is working with your own data. They may have been trained on terabytes of text from across the internet, but that only provides them with a ...