head to head · open source
Airbyte vs sql-data-warehouse-project
Airbyte has 22,334 GitHub stars, 5,442 forks, 2,395 open issues and last shipped yesterday. sql-data-warehouse-project has 1,064 stars, 748 forks, 5 open issues and last shipped 2 days ago. Airbyte leads on adoption by 1,999% (22,334 vs 1,064 stars). Airbyte is written in Python under a custom or non-standard licence; sql-data-warehouse-project is written in TSQL under MIT. Airbyte has attracted 24% as many forks as stars, sql-data-warehouse-project 70%. Airbyte was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 3 topic tags (data-engineering, data-pipeline, 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 | sql-data-warehouse-project | |
|---|---|---|
| GitHub stars | ★ 22K | ★ 1.1K |
| License | Custom / other | MIT |
| Written in | Python | TSQL |
| Last push | 2026-11-07 | 2026-11-06 |
| Forks | ⑂ 5.4K | ⑂ 748 |
| 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 sql-data-warehouse-project if
- You want the sql-data-warehouse-project feature set and don't need the biggest community
- You prefer the MIT license terms
- Your stack matches TSQL
- You evaluated both and sql-data-warehouse-project 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 sql-data-warehouse-project
Data Warehouse and Analytics Project The materials of the data warehouse project: the source files, every script from the videos, and the docs. ⭐ If this project helps you, star the repository so other learners can find it too. You take raw files from two systems, a CRM and an ERP, and build one data warehouse in SQL Server. At the end, the data is clean and ready for analysis. New here? Open the setup guide in the 00 setup folder. It walks you through installing SQL Server and creating the database, on Windows and Mac, with the fixes for the common errors. The project reads the six files from C:\sql\dwh…
read the full sql-data-warehouse-project overview →
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Frequently asked questions
Is Airbyte or sql-data-warehouse-project more popular?
Airbyte has 22,334 GitHub stars and sql-data-warehouse-project has 1,064. Airbyte has the larger community by that measure.
Are Airbyte and sql-data-warehouse-project free?
Both are open source. Airbyte has no licence declared in this registry, and sql-data-warehouse-project is licensed under MIT. Both are free to self-host.
What is the difference between Airbyte and sql-data-warehouse-project?
Airbyte is written in Python and sql-data-warehouse-project in TSQL. 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 sql-data-warehouse-project?
Choose Airbyte if you want the larger community (22,334 stars) or its Custom / other licence terms. Choose sql-data-warehouse-project if its feature set, stack or MIT licence fits better. Both are self-hostable.