Apache Kylin vs Apache Flink: What are the differences?
What is 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.
What is Apache Flink? Fast and reliable large-scale data processing engine. Apache Flink is an open source system for fast and versatile data analytics in clusters. Flink supports batch and streaming analytics, in one system. Analytical programs can be written in concise and elegant APIs in Java and Scala.
Apache Kylin and Apache Flink can be primarily classified as "Big Data" tools.
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, Apache Flink provides the following key features:
- Hybrid batch/streaming runtime that supports batch processing and data streaming programs.
- Custom memory management to guarantee efficient, adaptive, and highly robust switching between in-memory and data processing out-of-core algorithms.
- Flexible and expressive windowing semantics for data stream programs
Apache Kylin and Apache Flink are both open source tools. Apache Flink with 9.35K GitHub stars and 5K forks on GitHub appears to be more popular than Apache Kylin with 2.23K GitHub stars and 992 GitHub forks.