Jethro builds a SQL query engine designed to sit between BI tools (Tableau, Qlik) and Hadoop data lakes, enabling sub-second queries on datasets that would otherwise require full-table scans. The company's 11–50-person team is split evenly between engineering and sales, with minimal recent hiring velocity—a pattern typical of mature product companies facing long sales cycles in the data infrastructure space.
Jethro makes interactive business intelligence work on big data by indexing Hadoop and S3 datasets at write time and serving queries through a columnar SQL engine. The product integrates with standard BI tools like Tableau and Qlik, allowing analysts to run ad-hoc queries and live dashboards without provisioning a separate data warehouse. Founded in 2012 and headquartered in San Francisco with R&D in Israel, Jethro targets mid-market enterprises running Hadoop clusters who need real-time analytics without rearchitecting their data stack.
Jethro's core engine is built in C++ and Java, running on Linux and Windows. The platform integrates with Hadoop and AWS/Azure, and uses Salesforce and HubSpot for go-to-market operations.
Jethro is headquartered in San Francisco with an R&D office in Israel. The company hires in both the United States and Israel.
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