An Overview SQL Server 2019, All Round Summary of the best Features

In this blog, we’ll discuss all the new features of SQL Server 2019 and their benefits.  Businesses today rely upon databases, which gives them an insight into their business to make informed decisions.  SQL Server is one of the leading database management systems which is used for storage and retrieval of information to process transactional queries at scale.

The release of SQL Server 2019 is an exciting new development in the data management realm. The Community Technology Preview (CTP) of SQL Server 2019 was released for production as SQL Server 2019 community technology preview 3.0. The full-fledged release of SQL Server 2019 was on 4th Nov 2019.

MS SQL Server 2019 is supported only on 64-bit processors. The product is available in multiple editions–Enterprise, Standard, Express, and Developer. Microsoft has brought about some major enhancements and has added features to its database product that you may not have expected. The addition of Artificial Intelligence, the inclusion of Power BI reporting services, and much more.

Excited to know more? Continue to read further to know the new exciting features and their benefits.

New features in SQL Server 2019

  1. Deploy Big Data Clusters and Interact with your Big Data

2019 Server has introduced big data clusters. The essence of machine learning or Artificial Intelligence (AI) on big data clusters has made data processing and analytics much easier. Hence, big data clusters can deal with all the data sources and analyze every type of data in a way that humans or traditional data processing cannot.

You can run Python, Java, or R scripts from built-in Apache Spark—analytics engine for big data and machine learning—to combine structured, unstructured, relational, non-relational, high-volume big data, data stored in HDFS storage pools, and analyze it.

  1. Choose Language & Platform of your Choice

SQL server 2019 is flexible. It allows you to choose the language and runs on Windows and Linux. Moreover, you can use Kubernetes to deploy and manage your deployments.

You can also read: How to Fix SQL Database Error 7929?

  1. Improved Performance and Scalability

The all-new SQL Server has improved Intelligent Database features in-memory database capabilities such as intelligent query processing, persistent memory support, and memory-optimized ‘tempdb’. This takes the performance of all your database workloads to the next level. You can also migrate to Azure without modifying your applications or database design, which defines its scalability.

  1. More Secure

SQL Server 2019 provides mission-critical security to your data. It has built-in features for data protection and monitoring. It gives security alerts on suspicious activities, helps you to identify and fix the misconfigurations and security gaps. You can also encrypt sensitive data and enable customized data access.

  1. High Availability

The number of synchronous replicas in the new SQL server has increased to five from three in SQL server 2017. Out of these five replicas, one is the primary replica and the other four are secondary replicas. This assures high availability of the SQL server. The new SQL server also has a feature called Accelerated Database Recovery (ADR). This reduces the time to recover after a restart.

  1. Power BI report Services Included

The inclusion of Power BI services with new 2019 SQL Server is noteworthy. This enables users to explore visual data and access interactive Power BI reports on any device. Interactive analysis of data lakes and visual data exploration help users to discover patterns quickly and make better and faster decisions.


In this blog, we explored the top features in SQL Server 2019. The enhancements and additions brought were required to keep up with the technology and the expectations of the users. The best part of the story is that the  Server can run on Windows and Linux platforms.

The new SQL Server is now more intelligent as it uses machine learning or Artificial Intelligence to perform mission-critical tasks on complex datasets such as big data. Other features such as Power BI services, improved performance and security, and high availability makes it be called enhanced and advanced.

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