Learn how Bruin 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
Last commit
2 days agoRepository age
3 yearsVersion
v0.11.796License
Apache-2.0Self-hosted
YesRepository
bruin-data/bruin
Last 30 days
Last commit
7 hours agoRepository age
6 yearsVersion
v6.49.2License
MPL-2.0Repository
cloudquery
Both Bruin and CloudQuery have their unique strengths and serve similar purposes effectively. Consider your specific needs regarding popularity, growth, activity, maturity, licensing and features when making your decision.
CloudQuery significantly outpaces Bruin in community adoption with 6,542 stars compared to 1,789 stars on GitHub. This 3.7x difference suggests CloudQuery has a much larger and more active community. In terms of developer contributions, CloudQuery has 566 forks, indicating moderate developer engagement.
Bruin is growing faster, adding 41 stars in the last 30 days (+2.3%) against adding 17 stars for CloudQuery (+0.3%). Bruin is the smaller project of the two, so it is closing the gap rather than extending a lead.
Both projects show recent activity, with Bruin last updated 2 days ago and CloudQuery 7 hours ago.
CloudQuery has been in development longer, starting 6 years ago, compared to Bruin which began 3 years ago. This 2.7-year head start suggests CloudQuery may have more mature features and established processes.
The projects use different licenses: Bruin is licensed under Apache-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.
Bruin provides self-hosting options for complete data control and customization, while CloudQuery may be primarily cloud-based or require different deployment approaches.