



Pipes is the most popular Web-based alternative to Data Flow Manager.
Pipes is the most popular free alternative to Data Flow Manager.
- Pipes is Freemium and Proprietary
Data Flow Manager is described as ': Deploy & promote NiFi data flows in minutes, without using NiFi UI and controller services – 100% On-Premise, Zero Cloud Dependency' 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.




Pipes is the most popular Web-based alternative to Data Flow Manager.
Pipes is the most popular free alternative to Data Flow Manager.
Apache NiFi is an easy to use, powerful, and reliable system to process and distribute data.

Apache NiFi is the most popular Self-Hosted alternative to Data Flow Manager.
Apache NiFi is the most popular Open Source alternative to Data Flow Manager.
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...
Google Cloud Data Fusion is the most popular SaaS alternative to Data Flow Manager.
Google Cloud Data Fusion is the most popular commercial alternative to Data Flow Manager.
Comprehensive cloud integration platform offering pre-configured functions and templates for complex data mappings, allowing diverse business needs to be met efficiently.

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


Benthos is the most popular Linux alternative to Data Flow Manager.
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.



