Learn how Apache Cloudberry and Databend differ in their key features, development activity, technology stack and community adoption, so you can decide which of these relational databases (sql) is best for you.
Last 30 days
Last commit
2 days agoRepository age
3 yearsVersion
2.2.0-incubatingLicense
Apache-2.0Repository
cloudberrydb
Last 30 days
Last commit
9 hours agoRepository age
6 yearsVersion
v1.2.881License
Apache-2.0Self-hosted
YesRepository
databend
Databend appears to have several advantages over Apache Cloudberry, particularly in popularity, maturity and features. Consider your specific needs regarding popularity, growth, activity, technology, maturity, licensing and features when making your decision.
Databend significantly outpaces Apache Cloudberry in community adoption with 9,493 stars compared to 1,439 stars on GitHub. This 6.6x difference suggests Databend has a much larger and more active community. In terms of developer contributions, Databend has 901 forks, indicating moderate developer engagement.
Apache Cloudberry is growing faster, adding 16 stars in the last 30 days (+1.1%) against adding 37 stars for Databend (+0.4%). Apache Cloudberry is the smaller project of the two, so it is closing the gap rather than extending a lead.
Both projects show recent activity, with Apache Cloudberry last updated 2 days ago and Databend 9 hours ago.
Both tools share common technology foundations, being built with Bash, Python. However, they differ in their additional technology choices: Apache Cloudberry uses CSS, C, Objective-C, C++, Perl while Databend leverages JavaScript, Rust.
Databend has been in development longer, starting 6 years ago, compared to Apache Cloudberry which began 3 years ago. This 2.7-year head start suggests Databend may have more mature features and established processes.
Both projects use the Apache-2.0 license, providing identical terms for usage and distribution.
Both tools serve similar use cases in Relational Databases (SQL), Cloud Data Warehouses.
Databend provides self-hosting options for complete data control and customization, while Apache Cloudberry may be primarily cloud-based or require different deployment approaches.