head to head · open source
Airbyte vs pgsync
Airbyte has 22,303 GitHub stars, 5,431 forks, 2,395 open issues and last shipped yesterday. pgsync has 1,433 stars, 213 forks, 216 open issues and last shipped yesterday. Airbyte leads on adoption by 1,456% (22,303 vs 1,433 stars). Airbyte is written in Python under a custom or non-standard licence; pgsync is written in Python under MIT. Airbyte has attracted 24% as many forks as stars, pgsync 15%. Airbyte was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 2 topic tags (change-data-capture, 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 20902 open source comparisons
Side by side
| Airbyte | pgsync | |
|---|---|---|
| GitHub stars | ★ 22K | ★ 1.4K |
| License | Custom / other | MIT |
| Written in | Python | Python |
| Last push | 2026-11-02 | 2026-11-02 |
| Forks | ⑂ 5.4K | ⑂ 213 |
| 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 pgsync if
- You want the pgsync feature set and don't need the biggest community
- You prefer the MIT license terms
- Your stack matches Python
- You evaluated both and pgsync fits your workflow better
About Airbyte
Open source data movement for ELT pipelines and AI agents — from APIs, databases & files to warehouses, lakes, and AI applications We believe that only an open source solution to data movement can cover the long tail of data sources while empowering data engineers to customize existing connectors. Our ultimate vision is to help you move data from any source to any destination — whether that destination is a data warehouse, a data lake, or an AI agent. Airbyte provides a catalog of 600+ connectors for APIs, databases, data warehouses, data lakes, and AI applications. Screenshot taken from Airbyte Cloud . Pick the…
read the full Airbyte overview →
About pgsync
PGSync Real time PostgreSQL to Elasticsearch/OpenSearch sync Keep your relational database as the source of truth while powering lightning fast search Live Demo ↗ · Website · Documentation · Examples · Report Bug What is PGSync? PGSync is a change data capture tool that syncs data from PostgreSQL , MySQL , or MariaDB to Elasticsearch or OpenSearch in real time. Define your document structure in JSON, and PGSync handles the rest — no custom code required. Django integration: Use django pgsync to integrate PGSync with Django projects. PGSync Pro: Add real time semantic and hybrid search to Elasticsearch or…
read the full pgsync 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 pgsync more popular?
Airbyte has 22,303 GitHub stars and pgsync has 1,433. Airbyte has the larger community by that measure.
Are Airbyte and pgsync free?
Both are open source. Airbyte has no licence declared in this registry, and pgsync is licensed under MIT. Both are free to self-host.
What is the difference between Airbyte and pgsync?
Airbyte is written in Python and pgsync in Python. 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 pgsync?
Choose Airbyte if you want the larger community (22,303 stars) or its Custom / other licence terms. Choose pgsync if its feature set, stack or MIT licence fits better. Both are self-hostable.