Beam vs Apache Flink: What are the differences?
Developers describe Beam as "A Distributed Knowledge Graph Store". A distributed knowledge graph store. Knowledge graphs are suitable for modeling data that is highly interconnected by many types of relationships, like encyclopedic information about the world. On the other hand, Apache Flink is detailed 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.
Beam belongs to "Graph Databases" category of the tech stack, while Apache Flink can be primarily classified under "Big Data Tools".
Beam and Apache Flink are both open source tools. It seems that Apache Flink with 9.36K GitHub stars and 5.01K forks on GitHub has more adoption than Beam with 1.37K GitHub stars and 64 GitHub forks.