FULLY INDEXED ANALYTIC DB ON HADOOP

JethroData’s analytic DB runs natively on Hadoop’s HDFS,
combining the scalability of Hadoop storage with the power of
a fully indexed columnar database. Read More

One DB for storage and query

Jethro uses HDFS as its data store, benefiting from its robustness and scalability. No more dual systems with Hadoop as a raw data store and an analytic DB for faster queries. The result: significant savings, low latency, and fast access to underlying data.

Fully indexed, columnar storage

Jethro’s innovative technology adds an index for every single column, compresses the data, and then stores it in columnar format. The result is that users can explore their data using any criteria and still receive an extremely fast response.

Live data - sub second latency

As new data continuously streams in, Jethro makes it immediately available for queries with sub-second latency. As a result, you can update dashboard and detect trends as they occur.

Use SQL and your favorite BI tool

Jethro supports standard SQL and easily integrates with your BI tools using JDBC/ODBC. Jethro’s support for complex SQL joins is unparalleled in its ability to perform multiple joins on multiple very large tables without any restrictions.

Unique architecture

Jethro’s append-only design and lockless consistency model enable a super efficient share everything architecture. The result is limitless storage scale-out without the constraints of local processing.

Scale

With storage scale-out and elastic query nodes, Jethro can support the loading of millions of events per second, fast query of TB-size tables, and hundreds of concurrent users.

Feb 2013

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JethroData Raises $ 4.5 M for New Analytics Database that Addresses Hadoop’s Achilles Heel

JethroData, an analytics database company based on Hadoop, announced today it has closed a $4.5 million investment round led by Pitango Venture Capital. Read More →

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