Beam

Acerca de

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.

Características Principales

• 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

Casos de Uso

• 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.