head to head · open source
Airbyte vs metorikku
Airbyte has 22,083 GitHub stars, 5,351 forks, 2,395 open issues and last shipped today. metorikku has 589 stars, 156 forks, 65 open issues and last shipped 17 days ago. Airbyte leads on adoption by 3,649% (22,083 vs 589 stars). Airbyte is written in Python under a custom or non-standard licence; metorikku is written in Scala under MIT. Airbyte has attracted 24% as many forks as stars, metorikku 26%. Airbyte 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
| Airbyte | metorikku | |
|---|---|---|
| GitHub stars | ★ 22K | ★ 589 |
| License | Custom / other | MIT |
| Written in | Python | Scala |
| Last push | 2026-09-18 | 2026-09-01 |
| Forks | ⑂ 5.4K | ⑂ 156 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick Airbyte if
- You weight community size — 22K stars and counting
- You want the Custom / other license terms
- Your stack matches Python
- You value the larger contributor base for long-term maintenance
pick metorikku if
- You want the metorikku feature set and don't need the biggest community
- You prefer the MIT license terms
- Your stack matches Scala
- You evaluated both and metorikku fits your workflow better
About Airbyte
Airbyte open source data movement project. It lives in data engineering and data integration ecosystem. It moves data from APIs, databases, and files into warehouses, data lakes, and AI applications. It supports ELT and ETL pipelines. It also supports AI agents needing business data.
read the full Airbyte overview →
About metorikku
Metorikku is a library that simplifies writing and executing ETLs on top of Apache Spark. It is based on simple YAML configuration files and runs on any Spark cluster. The platform also includes a simple way to write unit and E2E tests. Getting started To run Metorikku you must first define 2 files. Metric file A metric file defines the steps and queries of the ETL as well as where and what to output. For example a simple configuration YAML (JSON is also supported) should be as follows: yaml metric: "/path/to/metric" mocks: name: table 1 path: mocks/table 1.jsonl tests: df2: id: 200 name: test id: 300 name: test2…
read the full metorikku overview →
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Frequently asked questions
Is Airbyte or metorikku more popular?
Airbyte has 22,083 GitHub stars and metorikku has 589. Airbyte has the larger community by that measure.
Are Airbyte and metorikku free?
Both are open source. Airbyte has no licence declared in this registry, and metorikku is licensed under MIT. Both are free to self-host.
What is the difference between Airbyte and metorikku?
Airbyte is written in Python and metorikku in Scala. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.
Which should I choose, Airbyte or metorikku?
Choose Airbyte if you want the larger community (22,083 stars) or its Custom / other licence terms. Choose metorikku if its feature set, stack or MIT licence fits better. Both are self-hostable.