by Angela Guess

According to a new press release, “MemSQL, provider of the fastest real-time data warehouse, today showcased at the Strata Data Conference how it is closing the machine learning (ML) gap between data science and operational applications. In the release of MemSQL 6, the company added new extensibility features to enable ML, massive performance improvements for analytical queries, and a broader set of online operations. Previously, the path to implement ML meant working between different environments in the development process. Now, developers can use ML functions with live data and SQL, and a real-time data warehouse to easily build operational applications without requiring multiple disparate systems. ‘As machine learning use expands within companies, a smarter database is needed to maximize learning,’ said Nikita Shamgunov, CEO and co-founder, MemSQL. ‘MemSQL 6 now has capabilities such as extensibility to enable more ML functions, so customers can meet the needs of their most ambitious challenges’.”

The release goes on, “According to a recent report, IDC Research forecasts worldwide revenues for cognitive and artificial intelligence systems will reach $12.5 billion in 2017. Global spending on cognitive and AI solutions will continue to see significant corporate investment over the next several years, achieving a compound annual growth rate of 54.4 percent through 2020 when revenues will be more than $46 billion. Based on input from some of the world’s largest enterprise companies there is a need for higher performance from operational applications. To address these demands, MemSQL 6 includes the ability to run ML algorithms in a distributed SQL environment, enhancements to online operations, and increases to query performance to deliver up to 80 times improvement from previous versions.”

Read more at Globe Newswire.

Photo credit: MemSQL