A Consistent Experience from On-premises to Cloud
With SQL Server 2019 you can apply intelligence across all your structured or unstructured data.
Linux is a supported platform since SQL Server 2017 and SUSE continues to work with Microsoft including a co-engineered Azure tuned kernel that optimizes throughput and reduce latency on Azure.
Get started running SQL Server on Azure VMs on SUSE Linux and explore best practices to maximize the benefits of moving your data to the cloud.
Stay in touch with SUSE for more information around SQL Server on Linux including new offers on Azure Marketplace, best practices on High Availability, container deployment and more.
The industry’s most secure database with enterprise-level performance and true flexibility for better insights
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SQL Server has been rated the least vulnerable database platform for the last nine years in a row by the National Institute of Standards and Technology and offers 12x reduced total cost of ownership when compared with legacy database solutions.
SQL Server allows customers to scale across editions while maintaining a consistent programming surface, while providing up to 30x the transaction speed thanks to in-memory OLTP and up to 100x faster analytical queries with in-memory columnstore.
SUSE Linux Enterprise Server with High Availability Extension provides mission-critical uptime, fast failover, improved manageability, and easy configuration for Always on Availability Groups (AG) for SQL Server High Availability setup on Azure.
SQL Server enables developers and organizations to build intelligent applications using their preferred language and environment, including Linux for on-premises, cloud and edge scenarios including container deployments.
SQL Server 2019 introduces Big Data Clusters for customers to query across relational, non-relational, structured, and unstructured data, for a complete picture of their business. They can now easily manage big data environments with key elements of a data lake—Hadoop Distributed File System (HDFS), Apache Spark, and analytics tools—deployed using Linux containers on a Kubernetes cluster.