Azure SQL vs SQL Server in 2026: compare cost, features, AI, and migration paths, plus when Managed Instance beats Azure VM in one clear framework.

Abstract: Cloud database forensics faces fundamental structural challenges that differ from traditional on-premises environments. This study experimentally investigates how three representative ...

Abstract: Azure SQL DB offers disaggregated storage architecture called Hyperscale. While this architecture provides storage scale out, it comes at the cost of performance of I/O from remote storage.

I am a Backend Developer and Software Engineer with a solid background in Artificial Intelligence in academic and professional fields, looking forwa ...

At the Ignite conference today, Microsoft made a series of announcements about Azure databases. It announced a brand-new Azure database called HorizonDB, which is a fully managed PostgreSQL database ...

At today’s Ignite 2025 event, Microsoft announced one of the biggest Azure data updates in years. The company has announced the general availability of SQL Server 2025. That has come after a long ...

Managing SQL Server across hybrid and multi-cloud environments has long posed a challenge for database administrators. With data sprawled across on-premises infrastructure, cloud platforms, and edge ...

Microsoft has launched Azure Arc-enabled SQL Server on Windows in the US Government, Virginia region. The Redmond giant called this a "major first step". Microsoft has recently announced that Azure ...

We’re excited to announce a new migration capability in Azure Arc to simplify and accelerate SQL Server migration. This new capability, now generally available, is powered by Azure Database Migration ...

Microsoft has rolled out a redesigned continuous migration assessment tool for SQL Server enabled by Azure Arc. The new experience is now generally available and brings a more streamlined, ...

As developers look to harness the power of AI in their applications, one of the most exciting advancements is the ability to enrich existing databases with semantic understanding through vector search ...