Beam vs Google Cloud Dataflow: What are the differences?
What is Beam? 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.
What is Google Cloud Dataflow? A fully-managed cloud service and programming model for batch and streaming big data processing. Google Cloud Dataflow is a unified programming model and a managed service for developing and executing a wide range of data processing patterns including ETL, batch computation, and continuous computation. Cloud Dataflow frees you from operational tasks like resource management and performance optimization.
Beam can be classified as a tool in the "Graph Databases" category, while Google Cloud Dataflow is grouped under "Real-time Data Processing".
Beam is an open source tool with 1.39K GitHub stars and 67 GitHub forks. Here's a link to Beam's open source repository on GitHub.