What is the main difference between DataLens and Metabase?

DataLens and Metabase 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 Metabase?

The choice between DataLens and Metabase 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 Metabase?

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

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DataLens vs Metabase

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

Metabase

Open-source business intelligence platform for data exploration, visualization, and sharing. Empowers teams to make data-driven decisions effortlessly.

Visit Metabase Read more

48,907stars+542(+1.1%)

Last 30 days

Last commit
8 hours ago
Repository age
12 years
Version
v0.63.14
Self-hosted
Yes
Repository
metabase/metabase

Detailed Comparison

Metabase 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.

Metabase wins

Community & Popularity

Metabase significantly outpaces DataLens in community adoption with 48,907 stars compared to 1,698 stars on GitHub. This 28.8x difference suggests Metabase has a much larger and more active community. In terms of developer contributions, Metabase has 6,769 forks, indicating strong developer engagement.

Metabase wins

Growth Momentum

Metabase is growing faster, adding 542 stars in the last 30 days (+1.1%) against adding 4 stars for DataLens (+0.2%). Metabase is both larger and pulling further ahead.

Comparable

Development Activity

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

Comparable

Technology Stack

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

Metabase wins

Project Maturity

Metabase has been in development longer, starting 12 years ago, compared to DataLens which began 3 years ago. This 8.8-year head start suggests Metabase may have more mature features and established processes.

DataLens wins