Data Flow Manager Alternatives

Data Flow Manager is described as 'Agentic AI Control Plane for Apache NiFi Operations, built for enterprises running NiFi at real scale' and is an app. There are six alternatives to Data Flow Manager for Web-based, SaaS, Java, Self-Hosted and Linux. The best Data Flow Manager alternative is Pipes, which is free. Other great apps like Data Flow Manager are Apache NiFi, Google Cloud Data Fusion, Informatica Cloud Data Integration and Benthos.

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Alternatives list

  1. Pipes icon
     10 likes

    RE-LIVE YAHOO PIPES. Get and manipulate data with a visual programming interface.

    Cost / License

    • Freemium
    • Proprietary

    Application type

    Platforms

    • Online
     
  2. Apache NiFi icon
     3 likes

    Apache NiFi is an easy to use, powerful, and reliable system to process and distribute data.

    Cost / License

    Platforms

    • Self-Hosted
    • Java
     
  3. Google Cloud Data Fusion is a managed service for creating and managing data pipelines. This cloud-native solution enables users to build and control data pipelines quickly. It offers a web interface for constructing scalable data integration solutions, allowing users to clean...

    Cost / License

    • Paid
    • Proprietary

    Platforms

    • Online
    • Software as a Service (SaaS)
     
  4. Comprehensive cloud integration platform offering pre-configured functions and templates for complex data mappings, allowing diverse business needs to be met efficiently.

    Cost / License

    • Paid
    • Proprietary

    Platforms

    • Online
    • Software as a Service (SaaS)
     
  5. Benthos icon
     1 like

    Benthos is a resilient stream processor for performing common and mundane stream tasks and is able to connect to a wide variety of sources and sinks. See more: https://github.com/Jeffail/benthos

    Cost / License

    • Free
    • Open Source (MIT)

    Platforms

    • Linux
     
  6. GenFlow icon
     Like

    GenFlow is an open-source platform that simplifies the development, integration, and management of generative AI applications through features like visual orchestration, prompt optimization, enterprise LLMOps, and backend APIs.

    Cost / License

    • Paid
    • Proprietary

    Platforms

    • Online
    • Software as a Service (SaaS)
     
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