Making Interactive BI on Big Data Work

JethroData’s SQL engine uniquely combines full-indexing with column-store to deliver truly interactive BI on Hadoop and Amazon S3. It takes only minutes to install and works with all popular Hadoop distributions and BI tools.

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Unique Architecture: Index Vs. Full-Scan

JethroData indexes every column. Queries read only the rows they need instead of performing a full-scan.

Truly Interactive BI

JethroData's performance directly relates to the size of the result-set, not the size of the dataset. The deeper the user drills down, the faster it gets.

Easy to Implement

JethroData works with any standard Hadoop distribution, including Cloudera, HortonWorks and MapR, and can be easily added to an existing cluster. It runs on separate compute nodes and no JethroData components are installed on Hadoop nodes.

Use SQL and Your Favorite BI Tool

Jethro supports standard SQL and easily integrates with BI tools  -- such as Qlik, Tableau and Microstrategy -- using JDBC/ODBC. Jethro’s support for complex SQL Joins is unparalleled in its ability to perform JOINs on large tables.

Near Real-Time Access

As new data continuously streams in, Jethro makes it immediately available for queries. Users can view live dashboards and detect trends as they occur.

Scalable

With the unlimited storage scale-out of HDFS, and JethroData's elastic Query Nodes, JethroData can support the ingestion of billions of events per hour, fast queries of terabyte-size tables, and hundreds of concurrent users.