What is the main difference between DataLens and Redash?

DataLens and Redash are both data visualization tools but differ in their approach, features, and target audience. Compare their GitHub stats, technology stack, and community adoption to make the best choice.

Which is better: DataLens or Redash?

The choice between DataLens and Redash depends on your specific needs, technical requirements, and team preferences. Both are quality open source solutions with active communities.

Can I migrate from DataLens to Redash?

Migration between DataLens and Redash is possible but requires careful planning. Consider data export/import capabilities, feature parity, and potential workflow changes.

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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.

DataLens

Modern analytics system featuring user-friendly interface, native integrations, and unlimited scalability. Build, visualize, and share data insights across your organization.

Visit DataLens Read more

1,698stars+4(+0.2%)

Last 30 days

Last commit
1 day ago
Repository age
3 years
Version
v2.9.0
License
Apache-2.0
Self-hosted
Yes
Repository
datalens-tech/datalens

Redash

Redash is an open-source data visualization and analytics platform that helps teams make sense of their data through SQL queries and interactive dashboards.

Visit Redash Read more

28,766stars+46(+0.2%)

Last 30 days

Last commit
7 days ago
Repository age
13 years
Version
v26.3.0
License
BSD-2-Clause
Repository
getredash/redash

Detailed Comparison

Redash appears to have several advantages over DataLens, particularly in popularity, maturity and licensing. Consider your specific needs regarding popularity, growth, activity, technology, maturity, licensing and features when making your decision.

Redash wins

Community & Popularity

Redash significantly outpaces DataLens in community adoption with 28,766 stars compared to 1,698 stars on GitHub. This 16.9x difference suggests Redash has a much larger and more active community. In terms of developer contributions, Redash has 4,622 forks, indicating strong developer engagement.

Comparable

Growth Momentum

DataLens and Redash are moving at much the same rate, adding 4 stars and adding 46 stars respectively over the last 30 days (+0.2% vs +0.2%). Neither is pulling away from the other on momentum alone.

Comparable

Development Activity

Both projects show recent activity, with DataLens last updated 1 day ago and Redash 7 days ago.

Comparable

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.

Redash wins

Project Maturity

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 wins

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.

Comparable

Use Cases & Features

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

DataLens wins

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.