Apache Kylin vs Impala: What are the differences?
Apache Kylin: OLAP Engine for Big Data. Apache Kylin™ is an open source Distributed Analytics Engine designed to provide SQL interface and multi-dimensional analysis (OLAP) on Hadoop/Spark supporting extremely large datasets, originally contributed from eBay Inc; Impala: Real-time Query for Hadoop. Impala is a modern, open source, MPP SQL query engine for Apache Hadoop. Impala is shipped by Cloudera, MapR, and Amazon. With Impala, you can query data, whether stored in HDFS or Apache HBase – including SELECT, JOIN, and aggregate functions – in real time.
Apache Kylin and Impala belong to "Big Data Tools" category of the tech stack.
Some of the features offered by Apache Kylin are:
- Extremely Fast OLAP Engine at Scale
- ANSI SQL Interface on Hadoop
- Interactive Query Capability
On the other hand, Impala provides the following key features:
- Do BI-style Queries on Hadoop
- Unify Your Infrastructure
- Implement Quickly
Apache Kylin and Impala are both open source tools. Apache Kylin with 2.23K GitHub stars and 992 forks on GitHub appears to be more popular than Impala with 2.18K GitHub stars and 824 GitHub forks.