Apache Impala vs Apache Kudu: What are the differences?
Developers describe Apache Impala as "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. On the other hand, Apache Kudu is detailed as "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 Impala and Apache Kudu can be primarily classified as "Big Data" tools.
"Super fast" is the primary reason why developers consider Apache Impala over the competitors, whereas "Realtime Analytics" was stated as the key factor in picking Apache Kudu.
Apache Impala and Apache Kudu are both open source tools. It seems that Apache Impala with 2.2K GitHub stars and 827 forks on GitHub has more adoption than Apache Kudu with 801 GitHub stars and 268 GitHub forks.
Stripe, Expedia.com, and 37 Signals are some of the popular companies that use Apache Impala, whereas Apache Kudu is used by Sensel Telematics, HelloFresh, and Kaspersky Lab. Apache Impala has a broader approval, being mentioned in 17 company stacks & 38 developers stacks; compared to Apache Kudu, which is listed in 5 company stacks and 21 developer stacks.