SQL Server named DBMS of the Year by DB-Engines

January 23, 2017

Product
SQL Server 2016

SQL Server was recently named DBMS of the Year by DB-Engines. DB-Engines is an initiative to collect and present information on database management systems, and provides a widely accepted popularity ranking of database management systems, and has been created and maintained by solid IT, an Austrian company with a special focus on database consulting and software development. In their award announcement recognizing SQL Server as the DBMS gaining the most popularity in 2016, DB-Engines cites the “release of SQL Server 2016 and the announcement to port SQL Server to Linux” and also highlights SQL Server’s strength in their ranking categories of job offers, LinkedIn profiles, and other ranking components.

We strive to deliver choice to our customers and to continually empower them to do more. SQL Server 2016 enables industry-leading performance and security [1] with built-in business intelligence on any device, as well as in-database advanced analytics, at industry-leading TCO. In 2016, we also made our fully-featured SQL Server Developer Edition free for development and testing. [2] With SQL Server 2016 Service Pack 1, we have made key innovations more accessible to developers and organizations across SQL Server editions, making it easier than ever to build advanced applications that scale across editions. Finally, the next release of SQL Server, currently in public preview, brings even more choice to developers, with the abilities to run SQL Server on Linux, Docker Engine, macOS on Docker for Mac, in addition to Windows.

Thank you to DB-Engines for this award, and to our customers for your continued support. We are grateful to have such a passionate user community. Please feel free to share your input about SQL Server using Microsoft’s Connect tool.

For those who haven’t used SQL Server 2016 or SQL Server v.Next yet, here are a few resources to learn more:

[1] National Institute of Standards and Technology Comprehensive Vulnerability Database, 2016.

[2] Development and testing only; not for production or use with production data