Druid vs Apache Kudu: What are the differences?

Druid: 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 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.

Druid and Apache Kudu can be categorized as "Big Data" tools.

"Real Time Aggregations" is the primary reason why developers consider Druid over the competitors, whereas "Realtime Analytics" was stated as the key factor in picking Apache Kudu.

Druid and Apache Kudu are both open source tools. It seems that Druid with 8.51K GitHub stars and 2.14K forks on GitHub has more adoption than Apache Kudu with 801 GitHub stars and 268 GitHub forks.

Airbnb , Instacart , and Dial Once are some of the popular companies that use Druid, whereas Apache Kudu is used by Sensel Telematics , HelloFresh , and Kaspersky Lab . Druid has a broader approval, being mentioned in 28 company stacks & 69 developers stacks; compared to Apache Kudu, which is listed in 5 company stacks and 21 developer stacks.