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SQL Server Blog

Free supported Java in SQL Server 2019 is now available 

Java is one of the most important open source projects in the world today. Born nearly 25 years ago around the same time as Microsoft SQL Server, it has since grown to a community of millions of developers around the world and by many reports is the most popular programming language in the world. SQL...

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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...

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The July release of Azure Data Studio is now available 

This post and release activities were co-authored by Vasu Bhog, an intern on the Azure Data Studio team. We’re excited to announce that the July release of Azure Data Studio is now available. You can download Azure Data Studio and review the release notes to get started. Please note: After downloading Azure Data Studio, click yes to enable the preview features...

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SQL Server 2019 on Windows containers now in Early Adopters Program 

Starting with SQL Server 2017’s support for Linux and containers, Microsoft has been on a journey of platform and operating system choice. SQL Server 2019 containers simplify application development, continuous integration and deployment (CI/CD) pipelines, and production workloads by making it easier to deploy SQL Server in these environments. Today, we’re happy to continue down...

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SQL Server 2019 community technology preview 3.1 is now available 

We’re excited to announce the monthly release of SQL Server 2019 community technology preview (CTP) 3.1. Customers can download this free build, try out features in this release and prior releases, and provide feedback to the engineering team. Your feedback is very helpful in refining features to be the most useful and avoid unintended regressions....

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SQL Server 2019 community technology preview 3.0 is now available 

We’re excited to announce the monthly release of SQL Server 2019 community technology preview (CTP) 3.0. For customers in the Early Adoption Program, CTP 3.0 is the first release where you’re able to run SQL Server 2019 in production. To apply, please reach out to your assigned Program Manager for more information. Check out the...

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A SQL Server tale of two cities 

No one disputes that data is critical to the lifeblood of business, applications, and the computer industry. SQL Server sits at the forefront of any discussion about data these days. So it’s no coincidence that SQL Server is seen, heard, and felt at major industry events. As a leader in the Azure Data SQL Server...

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SQL Server 2019 community technology preview 2.5 is now available 

We’re excited to announce the monthly release of SQL Server 2019 community technology preview (CTP) 2.5. SQL Server 2019 is the first release of SQL Server to closely integrate Apache Spark™ and the Hadoop Distributed File System (HDFS) with SQL Server in a unified data platform. The CTP 2.5 preview brings the following new features...

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Automated machine learning from SQL Server with Azure Machine Learning 

This post was co-authored by Jeff Shepherd, Deepak Mukunthu, and Vijay Aski. Recently, we blogged about performing automated machine learning on SQL Server 2019 big data clusters. In today’s post, we will present a complementary automated machine learning approach leveraging Azure Machine Learning service (Azure ML) invoked from SQL Server. While the previous post dealt...

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3 ways to gain insights with SQL Server 2019 big data clusters 

Businesses today are faced with the challenge of staying profitable and investing in future innovations. Speed and flexibility are the name of the game, and effective data-scaling techniques are highly sought after. Yet exploding data volumes, diverse data types, and numerous database management systems make it harder than ever for data professionals to consolidate data...

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