Relational databases like SQL Server and its cloud-sibling Azure SQL are familiar, powerful tools. Handling large structured stores, they’re the workhorses driving many familiar business ...

Learn how to use the Azure Portal to create a cloud-based SQL database with just a few mouse clicks. While the embrace of big data, machine learning, and IoT by business enterprises everywhere may ...

The aim of Azure SQL Database Hyperscale is to create a service that supports databases of up to 100TB and beyond. To meet those goals, Microsoft had to take a ground-breaking approach to scaling ...

At its Ignite 2024 conference today, Microsoft announced a major step toward breaking down data silos separating transactional databases and analytical tools. The tech giant revealed that Azure ...

It also tracks a user’s consumption of DTUs (database transaction units), the metric for how Azure SQL work is accomplished and paid for. New Datadog users qualify for a free trial, the company ...

The ease and ubiquity of SQL have even led the creators of many “NoSQL” or non-relational data stores, such as Hadoop, to adopt subsets of SQL or come up with their own SQL-like query languages.

Like its larger brethren, Azure SQL Database Edge will also support graph data and comes with the same security and encryption features that can, for example, protect the data at rest and in ...

These provide some of the things that SQL-based relational databases do but are tuned heavily for handling the demands of big data. VoltDB falls into this category: it's a high-speed SQL database.