Apache Flink vs Apache Kudu: What are the differences?
Developers describe Apache Flink as "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. 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 Flink and Apache Kudu can be primarily classified as "Big Data" tools.
"Unified batch and stream processing" is the primary reason why developers consider Apache Flink over the competitors, whereas "Realtime Analytics" was stated as the key factor in picking Apache Kudu.
Apache Flink and Apache Kudu are both open source tools. Apache Flink with 10K GitHub stars and 5.37K forks on GitHub appears to be more popular than Apache Kudu with 801 GitHub stars and 268 GitHub forks.
According to the StackShare community, Apache Flink has a broader approval, being mentioned in 29 company stacks & 97 developers stacks; compared to Apache Kudu, which is listed in 5 company stacks and 21 developer stacks.