Introducing SQL Server 2019
Transform your business with a unified data platform. SQL Server 2019 comes with Apache Spark and Hadoop Distributed File System (HDFS) for intelligence over all your data.
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Introducing SQL Server 2019

Transform your business with a unified data platform. SQL Server 2019 comes with Apache Spark and Hadoop Distributed File System (HDFS) for intelligence over all your data.

What you'll love about SQL Server 2019

SQL Server 2019 brings innovative security and compliance features, industry-leading performance, mission-critical availability, and advanced analytics to all your data workloads, now with support for big data built-in.

Intelligence over any data

SQL Server is a hub for data integration. Deliver transformational insights over structured and unstructured data with the power of SQL Server and Spark.

Choice of language and platform

Build modern applications with innovative features using your choice of language and platform. Now on Windows, Linux, and containers.

Industry-leading performance

Take advantage of breakthrough scalability, performance, and availability for mission-critical, intelligent applications, data warehouses, and data lakes.

Advanced security features

Protect data at rest and in use. SQL Server has been the least vulnerable database over the last 8 years in the NIST vulnerabilities database.

Make faster, better decisions

Power BI Report Server gives your users access to rich, interactive Power BI reports, and the enterprise reporting capabilities of SQL Server Reporting Services.

Download the datasheet

Big data clusters

SQL Server 2019 makes it easier to manage a big data environment. It provides key elements of a data lake—Hadoop Distributed File System (HDFS), Spark, and analytics tools—deeply integrated with SQL Server and fully supported by Microsoft. Easily deploy using Linux containers on a Kubernetes-managed cluster.

Read the white paper: SQL Server 2019 Big Data Clusters

Data virtualization

In SQL Server 2016, PolyBase enabled you to run a T-SQL query inside SQL Server to pull data from Hadoop and return it in a structured format—all without moving or copying the data. Now, we're expanding that concept of data virtualization to additional data sources, including Oracle, Teradata, MongoDB, and other SQL Servers.