SQL Server 2017 adds Python, graph processing and runs on Linux
Integration of Python for data science, graph processing for NoSQL-like
functionality, and it runs on Linux as well as Windows. At almost 30 years
of age, Microsoft's flagship database has learned many new tricks.
Today, at its Ignite conference in Orlando, Microsoft is announcing the general availability of a new version of its flagship operational database, SQL Server 2017.This new version of SQL Server adds new features from the worlds of data science and NoSQL. It offers cross-platform capabilities and Dockercontainer compatibility.
But it also reinforces its investment in core database engine performance, ease of index maintenance, high availability and data warehouse performance. That’s a difficult balance and one that other database vendors don’t have to meet. While this may be Microsoft’s cross to bear, the company does pretty well with it, turning a formidable challenge into a positive market differentiator.
The release of SQL Server 2017 heralds SQL Server’s return to the *NIX platform, with a new Linux version of the product. And despite this development being legacy-consistent (early versions of SQL Server, co-developed with Sybase, also ran on UNIX), it is still a very big deal.
