The Redmond giant has just announced through a blog post that it has obtained the low-profile big-data-focused startup, called Metanautix, specializing in assisting large enterprises in filtering the in-house data.
Metanautix was founded back in September of 2014, by Toli Lerios and Theo Vassilakis, who have formerly worked for Facebook and Google tech companies, respectively.
Furthermore, a $7 million fund had been speculated within the startup, including capital from Sequoia Venture Capital.
The Co-Founder and CEO of Metanauitx, Theo Vassilakis, said in the respective blog post:
I am excited to announce that Metanautix has been acquired by Microsoft!
Metanautix started out with the vision to integrate the data supply chain by building the Quest data compute engine that enables scalable SQL access to any data. Three years in, we can take this work to the next level by joining forces with Microsoft. We look forward to being part of Microsoft’s important efforts with Azure and SQL Server to give enterprise customers a unified view of all of their data across cloud and on-premises systems.
It’s been a thrilling ride, but before we begin the next exciting chapter I’d like to take a moment to thank our amazing team who has made all of this possible, including our customers and partners who helped us shape the product, our investors who got it all started and who stood by us, and the many other folks who contributed along the way.
When it comes to operations, Metanautix sells its technology to large corporations firms, who want to combine it with data sources from Salesforces.com service.
Its usage then makes it across a wide spectrum of business systems; including databases, divisions and departments to serve expressive visions. This procedure is generally cheaper than shifting overall data into a central system.
Redmond has not divulged any precise info regarding the deal’s terms or where it is planning to utilize the startup’s product, except that it will be implemented within the Cortana Analytics Suite and SQL Server.