Software Update: Microsoft SQL Server 2019 CTP 3.2

Microsoft has released a new community technology preview of SQL Server 2019 with version number 3.2. SQL Server is a relational database management system that supports T-SQL, a dialect of SQL. It is available in different flavors and can therefore be used for small, medium and large databases. It runs on the Windows platform of course, but also on Linux, such as Red Hat Enterprise Server and Ubuntu. For the 2019 edition, a lot of work done to improve big data clusters and the database engine. The SQL Server 2019 CTP 3.2 announcement looks like this:

SQL Server 2019 community technology preview 3.2 is now available

We’re excited to announce the monthly release of SQL Server 2019 community technology preview (CTP) 3.2.

With this release of SQL Server 2019 community technology preview 3.2, we are announcing the public preview of Big Data Clusters for SQL Server 2019. Big Data Clusters for SQL Server enables big data analytics within SQL Server. It brings HDFS and Apache Spark into SQL Server for scale out compute and storage.

Big data clusters allow you to deploy scalable clusters of SQL Server, Apache Spark, and HDFS running on Kubernetes. It provides all the tools and systems to ingest, store, and prepare data for analysis as well as to train and operationalize machine learning models. It allows you to query external data sources through data virtualization and combine and analyze your high-value relational data with high-volume big data. You will also be able to build and deploy scalable and productive data-driven applications in big data clusters.

There are several scenarios in which big data clusters lets you interact with your big data. Please visit the SQL Server big data clusters documentation to learn more.

To download public preview bits for Big Data Clusters for SQL Server 2019, please review the documentation to learn more.

In addition to the public preview of Big Data Clusters for SQL Server 2019, we are pleased to announce the integration of Azul System’s Zulu Embedded for all scenarios where Java is used in SQL Server – in PolyBase, Apache Spark, Java extensibility, and more. There is no additional cost beyond what you pay for SQL Server.

Customers are encouraged to deploy this free preview, try out features in this release, and provide feedback to the engineering team. Your feedback is very helpful in refining features to be the most useful.

Check out the What’s new in SQL Server 2019 preview documentation to learn more.