Upsolver provides a no-code data lake engineering platform that transforms raw, big data into structured tables through a visual SQL IDE and an execution engine that automates data lake engineering. The platform is based on open-source file formats like Apache Parquet and supports query engines and systems such as PrestoDB, Trino, Athena, Snowflake, AWS Redshift, Azure Synapse Analytics, Splunk, and Elasticsearch to avoid vendor lock-in. Upsolver offers a free Community Edition and is available on AWS Marketplace and Azure Marketplace to broaden access. Co-founded in 2014 by CEO Ori Rafael and CTO Yoni Eini, the company serves customers including Cox Automotive, Wix, and AppsFlyer. The company reported a tripling of revenue in 2020 and cites top-quartile net revenue retention; it has raised $42 million in funding to date. Upsolver plans to use new financing to build its team, scale its go-to-market engine, and drive technical innovation. Upsolver provides a platform that abstracts the engineering complexity of cloud data lakes and enables users to query lake data using SQL. The product is designed to prevent data lakes from becoming unusable 'data swamps' by making ingestion and queryability easier for non-specialist DBAs. Co-founder and CEO Ori Rafael says the company focuses on removing engineering barriers so enterprises can access and analyze lake data in real time and at scale. Investors view Upsolver as creating a cloud-native standard for data lake computing. The company currently has 22 employees spread across San Francisco, New York and Israel and plans to expand to about 50 employees by the end of next year, adding engineers in Israel and sales and customer-success staff in the U.S. Upsolver reports high revenue relative to its small headcount and says it has experienced sales acceleration during COVID; to date it has raised $17 million in total funding.

Total raised

$38M

Funding rounds

2

Latest round

Series B

Latest activity

Apr 2021