"Jethro brings significant performance advances to accessing data in Hadoop, which combined with the Qlik associative experience, will enable our customers to continue discovering business value from their data—regardless of the variety or volume."
— Les Bonney, COO, Qlik
QLIK 2015 PARTNER GLOBAL AWARD WINNER
Qlik Emerging Technology Evangelist Dave Freriks discusses why Hadoop wasn’t designed for business analytics and how to overcome this shortfall.
An indexing & caching server for Qlik
When extracts are too big/ slow and data needs to be accessed at the source
1. Qlik sends live queries to Jethro
2. Jethro speeds up queries
3. Everything stored in Hadoop
• QAS by Jethro works with any data source and big data platform
• Optimal for 0.5B – 10B row datasets
• Supports complex data models like star and snowflake schema
• Enables set analysis functionality such as "include/exclude filters" and "total function"
Query Hadoop directly from Qlik and explore your data at interactive speed. In Jethro for Qlik, queries use indexes to access only the data they need instead of performing a full scan, resulting in much faster response times. Queries can leverage multiple indexes for better performance – the more you drill-down, the faster your query runs.
This approach results in truly interactive queries for even the largest datasets.
Jethro for Qlik supports standard SQL and easily integrates with QlikView and Qlik Sense using JDBC/ODBC.
Works with any standard Hadoop distribution, including Cloudera, Hortonworks and MapR, as well as Amazon S3, and can be easily added to an existing cluster.
Ingests billions of events per hour, runs blazing fast queries of terabyte-size tables, and easily handles hundreds of concurrent users.
Take two minutes and learn how Jethro harnesses the power of index-access architecture and intelligent caching to stream queries from Hadoop at interactive speeds!
