What execution engines are supported by Apache Beam?
Some common execution engines supported by Apache Beam include:
- Direct Runner is the default execution engine for performing data processing tasks on a local machine. It is typically used for development and testing purposes to simulate data processing workflows in a real production environment.
- Apache Flink is a stream processing framework that can serve as one of the execution engines for Apache Beam. Utilizing Flink as an execution engine can offer efficient stream processing capabilities.
- Apache Spark is also a popular big data processing framework that can be integrated with Apache Beam to become one of Beam’s execution engines, providing powerful batch and stream processing capabilities.
- Google Cloud Dataflow is a managed streaming data processing service on Google Cloud platform that was originally developed by Google. As such, Dataflow serves as the native execution engine for Apache Beam, offering robust capabilities and automated management.
- Other extended execution engines: In addition to the common execution engines mentioned above, Apache Beam also supports other extended execution engines such as Apex, Samza, etc. Users can choose the appropriate execution engine according to their needs to run data processing tasks.
Overall, Apache Beam’s design philosophy is to support various execution engines, allowing users to choose the most suitable one based on their needs and environment to execute data processing tasks.