Driving business creation through real-time processing of large-scale time-series data - KAWASAKI, Japan, June 24, 2026 /PRNewswire/ --Toshiba Corporation today announced the launch of the GridDB ...

Stonebraker essentially abandoned Postgres in the mid-1990s. But instead of fading into obscurity, the codebase was salvaged ...

Microsoft Build 2026 demonstrates how data, AI, and ERP are converging as enterprises build the infrastructure and operational foundations for autonomous operations.

It’s time to switch to a new development tool for SQL Server and Azure SQL. Here’s how to get started with the MSSQL extension for Visual Studio Code. Microsoft recently ended support for Azure Data ...

Microsoft offers two paths for running enterprise databases: SQL Server, which you install and manage yourself, and Azure SQL, which Microsoft runs for you as a managed service. Both use the same ...

One thing people will notice when migrating to using cloud services are intermittent errors occur at a higher rate than you’re used to when running on premise. These errors are often called transient ...

As our platform evolves, we're looking for a senior Database Administrator with deep Azure SQL expertise to help us manage performance, scalability, and cost in a more structural and proactive way.

description Create a Hyperscale database in Azure SQL Database using the Azure portal, Transact-SQL, PowerShell, or the Azure CLI. To create databases via the Azure portal, PowerShell, Azure CLI, or ...

A step-by-step guide to deploying, configuring, and testing a multi-AZ, multi-region SQL Server FCI in the Azure cloud, complete with a PowerShell script that handles the networking configuration.

Azure Data Studio will officially be retired on February 28, 2026. Microsoft just announced the retirement in a blog post, recommending that all users try out the alternatives: Visual Studio Code and ...

Microsoft unveiled .NET Aspire at the Build 2024 developer conference, describing it as an opinionated, cloud-ready stack for building observable, production ready, distributed, cloud-native ...