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Apache Kylin vs Apache Kudu: 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; Apache Kudu: Fast Analytics on Fast Data. A columnar storage manager developed for the Hadoop platform. A new addition to the open source Apache Hadoop ecosystem, Kudu completes Hadoop's storage layer to enable fast analytics on fast data.
Apache Kylin and Apache Kudu can be primarily classified as "Big Data" tools.
Apache Kylin and Apache Kudu are both open source tools. Apache Kylin with 2.3K GitHub stars and 1.02K forks on GitHub appears to be more popular than Apache Kudu with 801 GitHub stars and 268 GitHub forks.
Pros of Apache Kudu
- Realtime Analytics10
Pros of Apache Kylin
- Star schema and snowflake schema support7
- Seamless BI integration5
- OLAP on Hadoop4
- Easy install3
- Sub-second latency on extreme large dataset3
- ANSI-SQL2
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Cons of Apache Kudu
- Restart time1