head to head · open source
airflow vs peerdb
airflow has 47,350 GitHub stars, 18,299 forks, 1,831 open issues and last shipped yesterday. peerdb has 3,313 stars, 232 forks, 204 open issues and last shipped yesterday. airflow leads on adoption by 1,329% (47,350 vs 3,313 stars). airflow is written in Python under Apache-2.0; peerdb is written in Go under AGPL-3.0. airflow has attracted 39% as many forks as stars, peerdb 7%. peerdb was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 1 topic tag (etl), so they are genuine substitutes rather than adjacent tools.
Two open source projects, one decision. Both are free and self-hostable — the differences are community size, license terms, language stack and release pace.
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Side by side
| airflow | peerdb | |
|---|---|---|
| GitHub stars | ★ 47K | ★ 3.3K |
| License | Apache-2.0 | AGPL-3.0 |
| Written in | Python | Go |
| Last push | 2026-11-02 | 2026-11-02 |
| Forks | ⑂ 18K | ⑂ 232 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick airflow if
- You weight community size — 47K stars and counting
- You want the Apache-2.0 license terms
- Your stack matches Python
- You value the larger contributor base for long-term maintenance
pick peerdb if
- You want the peerdb feature set and don't need the biggest community
- You prefer the AGPL-3.0 license terms
- Your stack matches Go
- You evaluated both and peerdb fits your workflow better
About airflow
Apache Airflow Apache Airflow (or simply Airflow) is a platform to programmatically author, schedule, and monitor workflows. When workflows are defined as code, they become more maintainable, versionable, testable, and collaborative. Use Airflow to author workflows (Dags) that orchestrate tasks. The Airflow scheduler executes your tasks on an array of workers while following the specified dependencies. Rich command line utilities make performing complex surgeries on Dags a snap. The rich user interface makes it easy to visualize pipelines running in production, monitor progress, and troubleshoot issues when…
read the full airflow overview →
About peerdb
Frustratingly simple ETL for Postgres PeerDB At PeerDB, we are building a fast, simple and the most cost effective way to stream data from Postgres to Data Warehouses, Queues and Storage engines. If you are running Postgres at the heart of your data stack and move data at scale from Postgres to any of the above targets, PeerDB can provide value. We support different modes of streaming log based (CDC), cursor based (timestamp or integer) and XMIN based. Performance wise, we are 10x faster than existing tools. Features wise, we support native Postgres features such as comprehensive set of data types incl…
read the full peerdb overview →
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Frequently asked questions
Is airflow or peerdb more popular?
airflow has 47,350 GitHub stars and peerdb has 3,313. airflow has the larger community by that measure.
Are airflow and peerdb free?
Both are open source. airflow is licensed under Apache-2.0 and peerdb under AGPL-3.0. Neither carries a licence fee.
What is the difference between airflow and peerdb?
airflow is written in Python and peerdb in Go. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.
Which should I choose, airflow or peerdb?
Choose airflow if you want the larger community (47,350 stars) or its Apache-2.0 licence terms. Choose peerdb if its feature set, stack or AGPL-3.0 licence fits better. Both are self-hostable.