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.
Last 30 days
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Last 30 days
Last commit
Repository age
Version
License
Repository

Airbyte appears to have several advantages over CloudQuery, particularly in popularity and features. Consider your specific needs regarding popularity, growth, activity, technology, maturity, licensing and features when making your decision.
Airbyte significantly outpaces CloudQuery in community adoption with 22,093 stars compared to 6,521 stars on GitHub. This 3.4x difference suggests Airbyte has a much larger and more active community. In terms of developer contributions, Airbyte has 5,353 forks, indicating strong developer engagement.
Airbyte and CloudQuery are moving at much the same rate, adding 163 stars and adding 34 stars respectively over the last 30 days (+0.7% vs +0.5%). Neither is pulling away from the other on momentum alone.
Both projects show recent activity, with Airbyte last updated 21 hours ago and CloudQuery 2 days 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 6 years ago.
The projects use different licenses: Airbyte is licensed under Elastic-2.0 while CloudQuery uses MPL-2.0. Consider the licensing requirements when choosing for your project.
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.