Apache Kylin v3.1.1 released, Open source distributed analytics engine

Apache Kylin is an open-source Distributed Analytics Engine designed to provide SQL interface and multi-dimensional analysis (OLAP) on Hadoop supporting extremely large datasets, originally contributed from eBay Inc.

Apache Kylin lets you query massive datasets at sub-second latency in 3 steps.

  1. Identify a Star Schema on Hadoop.
  2. Build Cube from the identified tables.
  3. Query with ANSI-SQL and get results in sub-second, via ODBC, JDBC or RESTful API.

WHAT IS KYLIN?

– Extremely Fast OLAP Engine at Scale: 

Kylin is designed to reduce query latency on Hadoop for 10+ billions of rows of data

– ANSI SQL Interface on Hadoop: 

Kylin offers ANSI SQL on Hadoop and supports most ANSI SQL query functions

– Interactive Query Capability: 

Users can interact with Hadoop data via Kylin at sub-second latency, better than Hive queries for the same dataset

– MOLAP Cube:

User can define a data model and pre-build in Kylin with more than 10+ billions of raw data records

– Seamless Integration with BI Tools:

Kylin currently offers integration capability with BI Tools like Tableau, PowerBI, and Excel. Integration with Microstrategy is coming soon

– Other Highlights: 

– Job Management and Monitoring
– Compression and Encoding Support
– Incremental Refresh of Cubes
– Leverage HBase Coprocessor for query latency
– Both approximate and precise Query Capabilities for Distinct Count
– Approximate Top-N Query Capability
– Easy Web interface to manage, build, monitor and query cubes
– Security capability to set ACL at Cube/Project Level
– Support LDAP and SAML Integration

Apache Kylin v3.1.1 was released.

Changelog

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