An overview of the strengths and weaknesses of today’s cloud database management systems.

At Microsoft's Ignite digital event this week, the company is announcing the private preview of SQL Server 2022, the next version of its three-decades-old relational database management system ...

Heterogeneous database management system from Quest Software supports dozens of relational, NoSQL, and data warehouse sources, both on-prem and cloud-based.

Google Cloud just unveiled a new edition of Cloud SQL, its enterprise-ready, fully managed database service for running MySQL, PostgreSQL, and SQL Server workloads.

Examples of cloud-optimized databases include traditional relational databases Oracle, SQL Server, MariaDB, and MySQL (which can be enhanced for the cloud by GenieDB), as well as NewSQL databases such ...

The SQL query language has been the cornerstone of database technology for decades. But what happens when you bring SQL together with modern generative AI? That’s the question that Google Cloud ...

Many see running SQL Server databases from Microsoft Azure or Amazon Web Services (AWS) as the best way to ensure IT performance in the face of growing data volumes and more complex analysis ...

Today, what we have are multiple instances of separate databases running in different data centers. For example, Xeround, a provider of a MySQL-compatible database service in the cloud, just announced ...

These include updates to its Spanner SQL database, which now features graph and vector search support, as well as extended full-text search capabilities.

A differentiating formula is not only to be the best analytic database but also to be cloud-agnostic. AWS, for example, has a cloud agenda. As do Azure and GCP.