Apache Kylin vs Druid: What are the differences?
Developers describe Apache Kylin as "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. On the other hand, Druid is detailed as "Fast column-oriented distributed data store". Druid is a distributed, column-oriented, real-time analytics data store that is commonly used to power exploratory dashboards in multi-tenant environments. Druid excels as a data warehousing solution for fast aggregate queries on petabyte sized data sets. Druid supports a variety of flexible filters, exact calculations, approximate algorithms, and other useful calculations.
Apache Kylin and Druid can be categorized as "Big Data" tools.
Apache Kylin and Druid are both open source tools. It seems that Druid with 8.22K GitHub stars and 2.05K forks on GitHub has more adoption than Apache Kylin with 2.21K GitHub stars and 983 GitHub forks.