DataLens vs Redash
Learn how DataLens and Redash differ in their key features, development activity, technology
stack and community adoption, so you can decide which of these data visualization tools is best for you.
Learn how DataLens and Redash differ in their key features, development activity, technology stack and community adoption, so you can decide which of these data visualization tools is best for you.
DataLens
Stars
1,672Forks
109Last commit
16 days agoRepository age
3 yearsLicense
Apache-2.0Self-hosted
Yes
Auto-fetched .
Redash
Stars
28,526Forks
4,584Last commit
4 days agoRepository age
12 yearsLicense
BSD-2-Clause
Auto-fetched .
Detailed Comparison
Redash appears to have several advantages over DataLens, particularly in popularity, maturity and licensing. Consider your specific needs regarding popularity, activity, technology, maturity, licensing and features when making your decision.
Redash appears to have several advantages over DataLens, particularly in popularity, maturity and licensing. Consider your specific needs regarding popularity, activity, technology, maturity, licensing and features when making your decision.
Community & Popularity
Redash significantly outpaces DataLens in community adoption with 28,526 stars compared to 1,672 stars on GitHub. This 17.1x difference suggests Redash has a much larger and more active community. In terms of developer contributions, Redash has 4,584 forks, indicating strong developer engagement.
Development Activity
Both projects show recent activity, with DataLens last updated 16 days ago and Redash 4 days ago.
Technology Stack
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.
Project Maturity
Redash has been in development longer, starting 12 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.
Licensing
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.
Use Cases & Features
Both tools serve similar use cases in Data Visualization, BI Platforms.
Hosting & Deployment
DataLens provides self-hosting options for complete data control and customization, while Redash may be primarily cloud-based or require different deployment approaches.
Amical – Open Source AI App for Dictation, Meetings and Note-taking.