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.

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 ...

Community driven content discussing all aspects of software development from DevOps to design patterns. In helping students prepare for this exam, I have identified a number of commonly misunderstood ...

Document databases are an increasingly important type of technology in the gen AI era. A document database is a type of NoSQL database that doesn't rely on rows and columns like a traditional ...

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 ...

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 today’s database administrators (DBAs) manage the complexity of modern database environments, particularly containerized systems, they must lean into smart automation to transform database ...

For years, enterprise companies have been plagued by data silos separating transactional systems from analytical tools—a divide that has hampered AI applications, slowed real-time decision-making, and ...