Databases

We are pleased to share that Microsoft is named a Leader in the 2021 Gartner® Magic Quadrant™ for Cloud Database Management Systems.

Whether it’s SQL Server, Azure SQL, open source, or NoSQL, Microsoft’s database services are here to help you build cloud-native applications or modernize existing applications with fully managed, flexible databases.

There are three core capabilities businesses need that together drive successful transformation: limitless database scale and performance, unmatched analytics and insights, and unified data governance. Today we shared a number of announcements to help organizations evolve rapidly even in the face of sustained uncertainty.

We are now announcing the general availability of the Apache Spark 3.0 compatible Apache Spark Connector for SQL Server and Azure SQL, accessible through Maven.

Our commitment to developers is to make Azure the best cloud for developing intelligent applications that harness the power of data and AI.

We are hosting the Azure SQL digital event: Innovate Today with Azure SQL on May 4 where you are invited to join Rohan Kumar, Corporate Vice President Azure Data, and a full team of Azure SQL experts to learn how you can make the most

At Microsoft Ignite, I presented the “Inside Azure Datacenter Architecture” session to give a tour of the latest innovations around how Azure enables intelligent, modern, and innovative applications at scale in the cloud, on-premises, and on the edge.

The cloud continues to play a critical role in our everyday lives. Our customers range from classrooms and small businesses to critical life and safety services and Fortune 500 companies.

Over the past year, it’s become clear that no business is immune to sudden changes. Embracing data as a strategic asset is key to remaining agile amidst uncertainty.

We are announcing that the preview release of the Apache Spark 3.0 compatible Apache Spark Connector for SQL Server and Azure SQL, available through Maven.

As organizations continue to embrace Linux, we see a growing number of enterprises running business and mission-critical workloads on Linux virtual machines in Azure.

As customers grow their mission critical workloads, scaling up to manage spiky workloads in house can become an expensive proposition.