Apache Kylin™ is an open source, distributed Analytical Data Warehouse for Big Data; it was designed to provide OLAP (Online Analytical Processing) capability in the big data era. By renovating the multi-dimensional cube and precalculation technology on Hadoop and Spark, Kylin is able to achieve near constant query speed regardless of the ever-growing data volume. Reducing query latency from minutes to sub-second, Kylin brings online analytics back to big data.

Apache Kylin™ lets you query billions of rows at sub-second latency in 3 steps.

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

Apache Kylin™ can also integrate with your favorite BI tools like Tableau and PowerBI etc., to enable BI on Hadoop.

Kylin is originally contributed from eBay Inc. in 2015.