head to head · open source
Airbyte vs automate-dv
Airbyte has 22,083 GitHub stars, 5,351 forks, 2,395 open issues and last shipped today. automate-dv has 596 stars, 157 forks, 53 open issues and last shipped 8 months ago. Airbyte leads on adoption by 3,605% (22,083 vs 596 stars). Airbyte is written in Python under a custom or non-standard licence; automate-dv is written in various languages under Apache-2.0. Airbyte has attracted 24% as many forks as stars, automate-dv 26%. Airbyte was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 2 topic tags (elt, 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.
← all 8884 open source comparisons
Side by side
| Airbyte | automate-dv | |
|---|---|---|
| GitHub stars | ★ 22K | ★ 596 |
| License | Custom / other | Apache-2.0 |
| Written in | Python | — |
| Last push | 2026-09-18 | 2026-02-05 |
| Forks | ⑂ 5.4K | ⑂ 157 |
| 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 automate-dv if
- You want the automate-dv feature set and don't need the biggest community
- You prefer the Apache-2.0 license terms
- You evaluated both and automate-dv 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 automate-dv
Changelog and past doc versions AutomateDV by Datavault Build your own Data Vault data warehouse! AutomateDV is a free to use dbt package that generates & executes the ETL you need to run a Data Vault 2.0 Data Warehouse on your data platform. What does AutomateDV offer? productivity gains, fewer errors multi threaded execution of the generated SQL your data modeller can generate most of the ETL code directly from their mapping metadata your ETL developers can focus on the 5% of the SQL code that is different dbt generates documentation and data flow diagrams powered by dbt, a registered trademark of dbt Labs Work…
read the full automate-dv overview →
More in Data & Analytics
Related comparisons
More Data Engineering & Integration projects
Compare either of these against the rest of the Data Engineering & Integration field.
Frequently asked questions
Is Airbyte or automate-dv more popular?
Airbyte has 22,083 GitHub stars and automate-dv has 596. Airbyte has the larger community by that measure.
Are Airbyte and automate-dv free?
Both are open source. Airbyte has no licence declared in this registry, and automate-dv is licensed under Apache-2.0. Both are free to self-host.
What is the difference between Airbyte and automate-dv?
Airbyte is written in Python and automate-dv in various languages. 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 automate-dv?
Choose Airbyte if you want the larger community (22,083 stars) or its Custom / other licence terms. Choose automate-dv if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.