Big Data Startup Upsolver Raises $13M to Drive Cloud Data Lakes Adoption

Upsolver, which provides software that eliminates the high engineering overhead of operating data lakes, has raised $13 million series A financing. 

Upsolver has raised a total of $17 million to date, with a global team working across Israel, California, and New York. Its customers include Asurion, Cox Automotive, The Meet Group, IronSource, Sisense, and more. Upsolver will use the funds to expand its R&D and Sales teams and enhance its multi-cloud capabilities. 


Organizations use data lakes to analyze large volumes of structured and unstructured data by breaking the traditional database into three pieces: storage, compute, and metadata. This separation dramatically reduces both cost and dependency on one database vendor, but it introduces a new engineering complexity — each piece must get configured, optimized, and synchronized with the rest. This time-consuming and cost-prohibitive process could historically only be completed by big data engineers who code and operate open source software like Apache Spark or Hadoop, said Upsolver.

Ori Rafael, CEO and Co-Founder, Upsolver
They should spend their time solving an organization’s hardest data problems instead of performing repetitive tasks like job orchestration, ETLs, and IT management. Upsolver helps automate repetitive tasks with a powerful tool that can be used by existing data practitioners. Our customers see an average of 95% reduction in the data lake management effort.

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