Jethro's index-based SQL engine for Hadoop automatically indexes data as it is written into Hadoop. The result is 1000X faster SQL queries that power reports, dashboards and ad-hoc requests.
Hadoop as an analytic database
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.
Jethro’s innovative technology lets you add an index for any table; indexes are then stored in HDFS. 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. As a result, you can update dashboards 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 joins on multiple very large tables without any restrictions.
Easy to implement
Implementing Jethro is simple and quick. It works with any standard Hadoop distribution. Jethro's indexes are built in the background and can be added to any existing Hadoop cluster.
With storage scale-out and elastic query nodes, Jethro can support the loading of millions of events per minute, fast queries of TB-size tables, and hundreds of concurrent users.