Learn how Airbyte and CloudQuery differ in their key features, development activity, technology stack and community adoption, so you can decide which of these etl & data integration tools is best for you.
Stars
Forks
Last commit
Repository age
Self-hosted
Auto-fetched .

Stars
Forks
Last commit
Repository age
License
Auto-fetched .

Both Airbyte and CloudQuery have their unique strengths and serve similar purposes effectively. Consider your specific needs regarding popularity, activity, technology, maturity, licensing and features when making your decision.
Airbyte significantly outpaces CloudQuery in community adoption with 21,134 stars compared to 6,385 stars on GitHub. This 3.3x difference suggests Airbyte has a much larger and more active community. In terms of developer contributions, Airbyte has 5,155 forks, indicating strong developer engagement.
Both projects show recent activity, with Airbyte last updated 10 hours ago and CloudQuery 11 hours ago.
Both tools share common technology foundations, being built with JavaScript, Bash, Typescript, Python, Java. However, they differ in their additional technology choices: Airbyte uses CSS, JSX, Kotlin while CloudQuery leverages Golang.
Both projects started around the same time, with Airbyte beginning 6 years ago and CloudQuery 5 years ago.
CloudQuery is licensed under MPL-2.0, while Airbyte's license terms are not publicly specified.
Both tools serve similar use cases in ETL & Data Integration. However, they also have distinct specializations: Airbyte also focuses on Change Data Capture (CDC).
Airbyte provides self-hosting options for complete data control and customization, while CloudQuery may be primarily cloud-based or require different deployment approaches.