Israeli startup Upsolver offers a Data Lake Platform that it says empowers any developer to manage, integrate and structure streaming data for analysis at “unprecedented ease – dramatically simplifying big data projects and reducing time-to-value from months to minutes.” The company just raised $25 million in Series B financing led by Scale Venture Partners (Scale). Existing investors JVP, Vertex Ventures US, and Wing Venture Capital also participated in the round.
The company has so far raised $42 million in funding from investors, including Scale Venture Partners, Vertex Ventures US, Wing Venture Capital, and JVP. Upsolver tripled its revenue in 2020, including the addition of marquee customers such as Cox Automotive, Wix, and AppsFlyer. Upsolver will use the financing to aggressively build its team, scale its go-to-market engine, and drive technical innovation.
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Announced today, Upsolver Community Edition brings us one step closer to making cloud data lake houses universally accessible. ???? [https://t.co/5cB1sFwpXi] pic.twitter.com/DXTvuU3h8L
— Upsolver (@upsolver) April 6, 2021
Companies are rapidly migrating their organizational data into cost-effective cloud data lakes. However, making the data valuable for analytics requires complex engineering projects that take months to complete and rely on unicorn data engineers skilled in distributed systems like Apache Hadoop or Apache Spark.
Upsolver says that it offers the only no-code data lake engineering platform for agile cloud analytics. Co-founded by CEO Ori Rafael and CTO Yoni Eini in 2014, Upsolver boasts that it helps organizations such as Cox Automotive, ironSource, and Sisense make cloud data analytics-ready in days, through a visual SQL UI and unique automation of data lake engineering best practices. With headquarters in Silicon Valley, Upsolver is a global company operating across North America, Europe, and Israel.
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Ori Rafael (Rafael) and Yoni Eini (Eini), two database engineers, founded Upsolver after experiencing firsthand the frustration and complexity of building a cloud analytics solution using Spark. “We wanted to store data affordably in the cloud without analytics vendor lock-in,” said Rafael. “Unfortunately, what used to take three hours using SQL turned into a month or more of hand-coding and hundreds of configurations in Spark. We created Upsolver to transform cloud analytics into an agile process.”
Upsolver is available on AWS Marketplace and Azure Marketplace, and a free community version is also available on the Upsolver website.
