SQL Server 2019: Top 5 New and Exciting Features
SQL Server 2019 brings a slew of innovative features and improvements that have left database enthusiasts and professionals eager to explore its capabilities. In this article, we’ll delve into the top 5 new and exciting features that make SQL Server 2019 a game-changer for businesses and developers alike.
Table of Contents
SQL Server 2019 introduces native integration with Apache Spark, an open-source, distributed computing framework. This integration allows you to seamlessly combine your structured SQL Server data with unstructured big data from sources like Hadoop Distributed File System (HDFS). It empowers you to run advanced analytics and machine learning operations on your data, bringing a new dimension to your data-driven decision-making.
Security is paramount in today’s data-driven world. SQL Server 2019 takes it up a notch with the introduction of “Always Encrypted with Secure Enclaves.” This feature ensures that sensitive data remains encrypted even while being processed within a SQL Server instance, providing an additional layer of security that’s critical for compliance and data protection.
Query performance is a constant concern in database management. SQL Server 2019 addresses this with intelligent query processing. This feature optimizes the performance of your queries by automatically adjusting execution plans, resulting in faster and more efficient query processing. It can make a noticeable difference in the overall responsiveness of your database.
SQL Server 2019 embraces modern DevOps practices by offering robust container support. Whether you’re using Docker or Kubernetes, SQL Server can now be deployed in containers, making it easier to develop, test, and deploy database applications across various environments. This flexibility streamlines development processes and enhances scalability.
PolyBase, introduced in SQL Server 2016, gets significant enhancements in SQL Server 2019. It allows you to query data from external sources like Hadoop or Azure Data Lake Storage using standard T-SQL queries. With improved performance and tighter integration, you can effortlessly combine data from multiple sources for more comprehensive insights.