We Make Qlik Work on Hadoop
Real-time speeds while analyzing and visualizing data of any size on Hadoop
“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
Making Qlik Work on Hadoop
Qlik Emerging Technology Evangelist Dave Freriks discusses why Hadoop wasn’t designed for business analytics and how to overcome this shortfall.
What is QAS?
An indexing & caching server for Qlik
When is this needed?
When extracts are too big/ slow and data needs to be accessed at the source
How it works:
1. Qlik sends live queries to Jethro
2. Jethro speeds up queries
- Full indexing – every column is indexed
- Result cache – every query is cached
- Auto cubes – every repeatable pattern
3. Everything stored in Hadoop
Compatibility?
• QAS by Jethro works with any data source and big data platform
• Optimal for 0.5B – 10B row datasets
Unique Capabilities:
• Supports complex data models like star and snowflake schema
• Enables set analysis functionality such as “include/exclude filters” and “total function”
Qlik on Hadoop
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.
Use SQL-on-Hadoop
Jethro for Qlik supports standard SQL and easily integrates with QlikView and Qlik Sense using JDBC/ODBC.
Super-Easy to Implement
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.
Highly Scalable
Ingests billions of events per hour, runs blazing fast queries of terabyte-size tables, and easily handles hundreds of concurrent users.
See the Secret to Interactive BI.
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!