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![TMCNet: Big data analytics co JethroData raises $4.5m [Globes, Tel Aviv, Israel]](http://images.tmcnet.com/siteart/invisible.gif)
Big data analytics co JethroData raises $4.5m [Globes, Tel Aviv, Israel]
(Globes (Tel Aviv) Via Acquire Media NewsEdge) Feb. 28--Big data analytics company JethroData Inc. has closed a $4.5 million financing round led by Pitango Venture Capital.
Netanya-based JethroData, which was founded in 2012 by CEO Eli Singer, CTO Boaz Raufman, Ronen Ovadya and Eli Singer, claims to revolutionize the way companies make use of big data, by creating the first analytic database that runs natively on Hadoop, featuring full indexing and a columnar structure. The start up's data base addresses both the need to store vast amounts of data and the need for lightning fast queries in a single system. The solution enables end-users to use any BI tool to interact with their big data in real-time.
Singer said, "Big data is a crucial part of many business decisions, but its relevance matters little when it takes too long to get an answer. Organizations that embark on big data projects quickly realize that they are forced to maintain a dual system with Hadoop as a raw data store and an analytic data base for faster queries, with duplicate maintenance and endless data replication. With JethroData, companies can use a single data base system and be able to query and explore data as fast as it arrives."
Raufman said, "As multi-structured data arrives, instead of being stored in a raw format, Jethro process it on the fly and ensures it is stored in a way that is optimized for big data analytics queries. Once stored, the data is immediately accessible through standard SQL and readily integrates with BI tools. The result is a data base that combines the scalability of Hadoop storage with the performance of an analytic data base, the fastest analytic data base to run natively on Hadoop."
Pitango general partner Rona Segev-Gal, who joins JethroData's board said, "As the need for big data analytics evolves, it becomes clearer that the volumes of data and the real-time analysis requirements result in unique challenges that cannot be solved by current DBMS solutions."
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(c)2013 the Globes (Tel Aviv, Israel)
Visit the Globes (Tel Aviv, Israel) at www.globes.co.il/serveen/globes/nodeview.asp fid=942
Distributed by MCT Information Services
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