Firebolt co-founders Eldad Farkash (right) and Saar Bitner. (Photo Firebolt)
Firebolt is an Israeli startup which calls itself the world’s fastest cloud data warehouse, purpose-built for delivering a new grade of analytic experiences over big data. The company has raised $127 million all-equity in a Series B funding round, bringing its total funding to $164 million to date.
Founded in 2018 by CEO Eldad Farkash and COO Saar Bitner, Firebolt boasts that it has “completely redesigned” the cloud data warehouse to deliver a “super fast, incredibly efficient analytics experience across terabytes and petabytes of data.” Leveraging the latest technology stack and the most recent academic research in the big data space, Firebolt declares that the company combines the best of high performance database architecture with the infinite scale of the data lake. Built on a decoupled storage and compute architecture, Firebolt allows its users to easily scale up or down to support any workload.
“We envision a world where data is at the center of every important decision. A world where big data is lightning fast!” — Firebolt
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Over the past six months, Firebolt has doubled its number of employees to 100. The company says that it has plans to double that again over the next 12 months. In addition to the strong growth in the U.S., Firebolt added 6 global sites with Munich, Zurich, London, Dublin, Kiev, and Cluj joining its site in Tel Aviv.
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Firebolt has also recently added key new talent with Looker’s founding team member Keenan Rice joining to lead US operations as Firebolt GM to build its San Francisco HQ. This comes on the back of Firebolt’s explosive growth in interest and usage, adding some of the world’s most sophisticated tech companies as its clients
“Companies are developing data applications more than ever before – which require a high level of performance that is not readily available,” said Firebolt Co-founder and CEO Eldad Farkash. “Firebolt takes out the grueling pain from the entire process, making it possible for engineers to develop interactive data applications that deliver fast performance over extremely large data sets. Developers can finally develop data-related features at unheard-of speeds.”
