Beam
Manages Apache Beam data pipelines across different runners using a standardized Model Context Protocol (MCP) API.
About
Beam provides a standardized API for managing Apache Beam data pipelines across various runners like Flink, Spark, Dataflow, and Direct. Designed for data engineers, AI/LLM developers, and DevOps teams, it simplifies pipeline operations and monitoring. By adhering to the Model Context Protocol, it enables AI-controlled data pipelines, offering a consistent interface regardless of the runner used.
Key Features
- Supports multiple runners: Flink, Spark, Dataflow, and Direct.
- Compliant with the Model Context Protocol (MCP) for AI integration.
- Includes Docker and Kubernetes deployment options.
- Enables pipeline management: creation, monitoring, and control.
- Offers built-in support for monitoring and observability.
- 3 GitHub stars
Use Cases
- Simplify pipeline operations and monitoring for DevOps teams.
- Enable AI-controlled data pipelines through the MCP standard.
- Manage pipelines with a consistent API, irrespective of the runner.
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