What is the main difference between Apache Superset and Lightdash?

Apache Superset and Lightdash 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 Lightdash?

The choice between Apache Superset and Lightdash 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 Lightdash?

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

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Apache Superset vs Lightdash

Learn how Apache Superset and Lightdash 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

74,541stars+459(+0.6%)

Last 30 days

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

Lightdash

Self-serve analytics platform that transforms dbt models into interactive dashboards, enabling data-driven decisions across organizations.

Visit Lightdash Read more

6,105stars+105(+1.8%)

Last 30 days

Last commit
5 hours ago
Repository age
5 years
Version
2.57.0
License
MIT
Self-hosted
Yes
Repository
lightdash/lightdash

Detailed Comparison

Both Apache Superset and Lightdash have their unique strengths and serve similar purposes effectively. 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 Lightdash in community adoption with 74,541 stars compared to 6,105 stars on GitHub. This 12.2x difference suggests Apache Superset has a much larger and more active community. In terms of developer contributions, Apache Superset has 18,203 forks, indicating strong developer engagement.

Lightdash wins

Growth Momentum

Lightdash is growing faster, adding 105 stars in the last 30 days (+1.8%) against adding 459 stars for Apache Superset (+0.6%). Lightdash is the smaller project of the two, so it is closing the gap rather than extending a lead.

Comparable

Development Activity

Both projects show recent activity, with Apache Superset last updated 5 hours ago and Lightdash 5 hours ago.

Comparable

Technology Stack

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

Apache Superset wins

Project Maturity

Apache Superset has been in development longer, starting 11 years ago, compared to Lightdash which began 5 years ago. This 5.7-year head start suggests Apache Superset may have more mature features and established processes.

Lightdash wins

Licensing

Lightdash uses the MIT license, which is more permissive than Apache Superset'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. However, they also have distinct specializations: Lightdash extends into Semantic Layer Platforms.

Comparable