OSI-licensed only · self-hostable
Apache NiFi is itself open source (Apache-2.0), described as an easy to use, powerful and reliable system to process and distribute data. People look for alternatives when they want code-first pipelines, scheduled orchestration or a lighter visual tool.
Every tool below is under an OSI-approved licence (Apache-2.0), checked against its repository. Two popular tools that are often grouped with them, n8n and Airbyte, use source-available licences and are listed separately.
Licences checked against each repository on November 7, 2026.
| Tool | Best for | Licence | Runs as |
|---|---|---|---|
| Apache Airflow | Code-defined batch workflows | Apache-2.0 | Server |
| Kestra | Declarative, event-driven orchestration | Apache-2.0 | Docker |
| Node-RED | Visual flows for devices and APIs | Apache-2.0 | Docker |
| Apache Hop | Visual data integration and ETL | Apache-2.0 | Desktop + server |
| Apache Camel | Enterprise integration patterns in code | Apache-2.0 | Server |
| Dagster | Asset-oriented data pipelines | Apache-2.0 | Server |
| Apache SeaTunnel | Large-scale data integration | Apache-2.0 | Server |
| Prefect | Python workflow orchestration | Apache-2.0 | Server |
Best for: Code-defined batch workflows
A platform to programmatically author, schedule and monitor workflows.
Best for: Declarative, event-driven orchestration
An open-source, event-driven orchestration platform for data, AI and infrastructure workflows.
Best for: Visual flows for devices and APIs
A visual, low-code tool for connecting devices, services and APIs through event-driven flows.
Best for: Visual data integration and ETL
A data integration and orchestration platform that aims to facilitate all aspects of data and metadata orchestration.
Best for: Enterprise integration patterns in code
An open source framework that connects applications and services through hundreds of prebuilt connectors, with routes written in Java, YAML or XML.
Best for: Asset-oriented data pipelines
A cloud-native orchestrator for building, running and monitoring data assets such as tables, datasets, ML models and reports.
Best for: Large-scale data integration
A multimodal, high-performance, distributed, massive data integration tool.
Best for: Python workflow orchestration
A workflow orchestration framework for building resilient data pipelines in Python.
One email a week with the open-source projects, launches and releases added to TechLogHub. Unsubscribe in one click.
One email a week: new and trending developer tools, fresh comparisons, and what shipped. Unsubscribe in one click.
| If you need… | Start with |
|---|---|
| Closest visual flow tool | Node-RED or Apache Hop |
| Scheduled batch pipelines as code | Airflow, Dagster or Prefect |
| Event-driven workflows with a UI | Kestra |
| Integrating apps inside a Java stack | Apache Camel |
| Large distributed data sync | Apache SeaTunnel |
Public source code, but under licences the Open Source Initiative doesn't approve. Fine to use; read the terms first.
Source code is public and self-hosting is allowed, but the Sustainable Use License limits how it can be used commercially, so it is not OSI-approved.
The repository shows both MIT and Elastic License 2.0 badges. Elastic License 2.0 is source-available, not OSI-approved, so check which parts you depend on.
Quick answers to common questions
Yes. Apache NiFi is licensed under the Apache License 2.0 and is a project of the Apache Software Foundation.
It depends on the job. Node-RED and Apache Hop are the nearest visual tools; Airflow, Dagster and Prefect suit code-first orchestration.
No. n8n's code is public but under the Sustainable Use License and an enterprise licence, which are source-available rather than OSI-approved.
Partly. Its repository shows MIT and Elastic License 2.0 badges, and Elastic License 2.0 is not an OSI-approved licence.
Not exactly. NiFi is built around routing data flows. Orchestrators like Airflow schedule tasks instead, so a migration usually changes how pipelines are designed.
List it on TechLogHub and we'll review it for this page.
