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§ Private Profile · New York City, NY, USA
Software company developing high-performance SQL-on-Hadoop solutions for enterprises, enabling interactive big data analytics.
Jethro, headquartered in New York City with an R&D office in Israel, develops a high-performance SQL-on-Hadoop solution enabling interactive big data exploration via standard SQL or BI tools. Its technology focuses on big data analytics, distributed applications, and database technologies for Hadoop environments, serving enterprise big data projects. Jethro has secured $12.6 million in total funding, including an $8.1 million Series B round led by Square Peg Capital in 2015 and an earlier $4.5 million round from Pitango Venture Capital. It employs between 21 and 50 individuals. Lead investors include Pitango Venture Capital and Square Peg Capital, whose Arad Naveh joined the board. Jethro was founded in 2012 by Eli Singer, Boaz Raufman, and Ronen Ovadya.
Jethro has raised $25.6M across 4 funding rounds.
Jethro has raised $25.6M in total across 4 funding rounds.
Jethro has raised $25.6M across 4 funding rounds. Most recently, it raised $8.1M Series B in June 2015.
| Date | Round | Lead Investors | Other Investors | Status |
|---|---|---|---|---|
| Jun 9, 2015 | $8.1M Series B | Arad Naveh | Pitango Venture Capital | Announced |
| Mar 1, 2015 | $8M Series B | — | Benhamou Global Ventures, BlueRun Ventures, Canvas Ventures, Chemi, I3 Equity Partners, ICONIQ Capital, InterWest, Pitango Venture Capital, TLV Partners, Wildcat Ventures | Announced |
| Feb 27, 2013 | $4.5M Venture Round | Rona Segev | — | Announced |
| Feb 1, 2013 | $5M Seed | — | Benhamou Global Ventures, BlueRun Ventures, Canvas Ventures, Chemi, I3 Equity Partners, ICONIQ Capital, InterWest, Pitango Venture Capital, TLV Partners, Wildcat Ventures | Announced |
Jethro has raised $25.6M in total across 4 funding rounds.
Jethro's investors include Arad Naveh, Pitango Venture Capital, Benhamou Global Ventures, BlueRun Ventures, Canvas Ventures, Chemi, i3 Equity Partners, ICONIQ Capital, InterWest, TLV Partners, Wildcat Ventures, Rona Segev.
Jethro is a technology company specializing in a SQL-on-Hadoop engine that accelerates interactive business intelligence (BI) on big data, enabling thousands of concurrent users to analyze tens of billions of rows with sub-second response times.[1][2][3] It integrates seamlessly with BI tools like Tableau, Qlik, and MicroStrategy without requiring data re-engineering or changes to front-end screens, delivering enterprise data warehouse (EDW) performance at Hadoop scale and cost.[1][2] Headquartered in New York with around 26 employees and reported revenue of $18.5 million, Jethro targets enterprises needing real-time BI on massive datasets, solving the problem of slow query performance in big data environments.[2]
Jethro Data was founded in 2012 as a privately-held company in the technology services industry, focusing on big data analytics.[4] Key leaders include co-founder and CTO Boaz Raufman, a big data expert who developed Jethro’s breakthrough index-access architecture, intelligent caching, and micro auto-cubes after leading projects at Amdocs and IDF Intelligence; co-founder and VP of Customer Success Ronen Ovadya, with 15+ years in large-scale projects at Amdocs; CEO Mark Kremer, a BI veteran who founded Broadbase (NASDAQ:BBSW) and held CEO roles at Precise and Kana; and President Eli Singer, a serial entrepreneur behind Memco Software’s IPO and WebCollage’s acquisition.[1] The idea emerged from the need to make Hadoop viable for interactive BI, gaining early traction through partnerships and case studies like Tata Communications.[3]
Jethro rides the big data and real-time BI trend, addressing Hadoop's limitations in interactive analytics amid exploding data volumes from cloud and IoT sources.[1][3] Timing aligns with the shift from batch processing to real-time insights, fueled by market forces like cost pressures on EDWs and demand for self-service BI in enterprises.[2] By enabling Hadoop for production BI workloads, Jethro influences the ecosystem, partnering with BI leaders to democratize fast analytics and reduce reliance on expensive proprietary warehouses.[2][3]
Jethro’s momentum positions it for expansion in cloud-native BI, potentially integrating with modern data lakes like Snowflake or Databricks as hybrid analytics grow. Trends like AI-driven queries and edge computing will amplify demand for its low-latency engine, evolving its role from Hadoop accelerator to universal big data optimizer. With seasoned leadership and proven traction, Jethro could pursue acquisitions or partnerships to scale beyond core BI, solidifying its edge in interactive intelligence on massive scales—accelerating what was once impossible on big data.