What is the main difference between Apache Superset and DataLens?

Apache Superset and DataLens 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: Apache Superset or DataLens?

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

Can I migrate from Apache Superset to DataLens?

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

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Apache Superset vs DataLens

Learn how Apache Superset and DataLens 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.

Apache Superset

Connect any SQL database, build charts with drag-and-drop or raw SQL, and publish interactive dashboards without writing application code.

Visit Apache Superset Read more

74,447stars+471(+0.6%)

Last 30 days

Last commit
8 hours ago
Repository age
11 years
Version
6.1.0
License
Apache-2.0
Self-hosted
Yes
Repository
apache/superset

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
10 hours ago
Repository age
3 years
Version
v2.9.0
License
Apache-2.0
Self-hosted
Yes
Repository
datalens-tech/datalens

Detailed Comparison

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

Apache Superset wins

Community & Popularity

Apache Superset significantly outpaces DataLens in community adoption with 74,447 stars compared to 1,698 stars on GitHub. This 43.8x difference suggests Apache Superset has a much larger and more active community. In terms of developer contributions, Apache Superset has 18,161 forks, indicating strong developer engagement.

Apache Superset wins

Growth Momentum

Apache Superset is growing faster, adding 471 stars in the last 30 days (+0.6%) against adding 4 stars for DataLens (+0.2%). Apache Superset is both larger and pulling further ahead.

Comparable

Development Activity

Both projects show recent activity, with Apache Superset last updated 8 hours ago and DataLens 10 hours ago.

Comparable

Technology Stack

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

Apache Superset wins

Project Maturity

Apache Superset has been in development longer, starting 11 years ago, compared to DataLens which began 3 years ago. This 8.3-year head start suggests Apache Superset may have more mature features and established processes.

Comparable