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Enterprise Layer Intelligence
Categories/Data Platform & Integration/Jethro
Jethro

Jethro

Founded 2012

Run fast interactive business intelligence queries on massive Hadoop datasets

You can use Jethro to run fast SQL queries on massive Hadoop datasets without slow wait times. It acts as an acceleration layer between big data storage and business intelligence dashboards like Tableau or Qlik. The system automatically creates indexes, caches frequent requests, and builds micro auto-cubes to handle thousands of concurrent queries across billions of records. By eliminating manual data engineering and pre-aggregation pipelines, your analytics teams can explore large-scale data interactively and maintain responsive dashboards for every business user.

What Jethro does

Connect reporting dashboards to enterprise Hadoop data lakesExecute fast SQL queries across billions of raw recordsCache recurring business queries to reduce computing overheadIndex large data tables automatically without manual configurationMonitor concurrency across multi-user dashboard deploymentsGenerate interactive reports using Tableau and Qlik connectorsInstant SQL query execution across billions of data recordsIndex-based access architecture designed specifically for big dataAutomatic generation of micro data cubes for faster queriesHigh concurrency handling for thousands of simultaneous usersAutomated query caching to reduce cluster processing loadDirect compatibility with business intelligence visualization softwareElimination of manual aggregation pipelines and data engineering

Frequently asked

TableauTableauQlikQlikApache HadoopApache Hadoop

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Jethro, Jethro Data, Business Intelligence, Big Data, Hadoop, Tableau integration, Qlik integration, SQL query acceleration, indexing, high concurrency, data caching, auto-cubes, interactive analytics, OLAP on Hadoop, BI acceleration