Redash significantly outpaces DataLens in community adoption with 28,725 stars compared to 1,693 stars on GitHub. This 17.0x difference suggests Redash has a much larger and more active community. In terms of developer contributions, Redash has 4,618 forks, indicating strong developer engagement.

Both projects show recent activity, with DataLens last updated 14 days ago and Redash 5 days ago.

Both tools share common technology foundations, being built with JavaScript, Python. However, they differ in their additional technology choices: DataLens uses Bash while Redash leverages CSS, Typescript, JSX.

Redash has been in development longer, starting 13 years ago, compared to DataLens which began 3 years ago. This 10.0-year head start suggests Redash may have more mature features and established processes.

Redash uses the BSD-2-Clause license, which is more permissive than DataLens's Apache-2.0 license, potentially offering greater flexibility for commercial use and integration.

Both tools serve similar use cases in BI Platforms, Data Visualization.

DataLens provides self-hosting options for complete data control and customization, while Redash may be primarily cloud-based or require different deployment approaches.