UPDATED 19:42 EDT / FEBRUARY 13 2020

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Data warehouse virtualization startup Datometry raises $17M

Data warehouse virtualization startup Datometry Inc. today said it has raised $17 million in new funding to accelerate go-to-market activities with its partners Microsoft Azure, Amazon Web Services Inc. and Google Cloud Platform as well as select systems integrators.

The Series B round was led by WRVI Capital and included Nepenthe, Dell Technologies Capital, Redline Capital and Acorn Pacific.

Founded in 2013, Datometry offers a cloud-based data virtualization platform that allows existing applications to run directly on a cloud data warehouse by translating apps and results in real time. The company offers a suite of software-as-a-service solutions enterprises can use to move existing data warehouses to the cloud, saving time, cost and risk without an application rewrite.

The company’s range of products is powered by Datometry’s Adaptive Data Virtualization technology. Hyper-Q, Datometry’s main app, offers what it calls “replatforming” of existing applications on cloud databases in real time. It’s supported by qInsight, a product that provides insight to data warehouse workloads; and qShift, a product that automates the generation of optimized destination data warehouse schema.

Speaking to SiliconANGLE’s video studio theCUBE in December 2018, Mike Waas (pictured), founder and chief executive officer of Datometry, explained that “in a classic migration, the moment somebody opens the hood on the current system and says, ‘Hey, we’re replatforming this to the cloud,’ a myriad of people [come] out of the woodwork [with] all these janitorial tasks [they’ve] been sitting on. Migration very quickly turns unmanageable.”

Waas said 60% to 70% of migrations are failing as a result. “What we give IT leaders is the ability to take these two things apart: Move first; move everything; move right now,” Waas explained. “Then afterward, look at your application.”

Including the new funding, Datometry has raised $28 million to date.

Photo: SiliconANGLE

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