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Using Microsoft SQL Server 2019 Key Features

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Abhishek Kashyap
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Using Microsoft SQL Server 2019, you can integrate modern data processing technologies into your applications. This includes Apache Spark and Hadoop, which will help you build big data clusters and run big data workloads. Additionally, SQL Server supports machine learning applications and offers built-in data protection. These tools will give you insights into all your data.


One of the primary goals of SQL Server 2019 is to support enhanced big data integration. This includes features such as Enhanced PolyBase, which helps you query other databases directly from SQL Server. Additionally, SQL Server offers a faster native read capability, which should help you import data into a cluster more quickly.


SQL Server is a relational database management system (RDBMS) that supports both Windows and Linux. It includes a database engine, storage management, and a variety of add-on services. It is also available in two different editions: Standard and Enterprise. Each edition includes different features and performance levels.


SQL Server Standard Edition is designed for small businesses and freelancers. This version features a number of enhancements, including new compliance tools and higher performance on the latest hardware. In addition, it is affordable. It also includes official updates from Microsoft.


The new features in SQL Server 2019 allow you to connect to a variety of external data sources, including Apache Spark, Hadoop Distributed File System (HDFS), and other open source databases. You can also integrate machine learning applications into your applications. With SQL Server Standard Edition, you can run your applications in a variety of environments, including public clouds, containers, and Windows containers.


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