Learn how Lightdash 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.
Last 30 days
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Self-hosted
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Last 30 days
Last commit
Repository age
Version
License
Repository

Both Lightdash and Redash 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.
Redash significantly outpaces Lightdash in community adoption with 28,742 stars compared to 6,028 stars on GitHub. This 4.8x difference suggests Redash has a much larger and more active community. In terms of developer contributions, Redash has 4,615 forks, indicating strong developer engagement.
Lightdash is growing faster, adding 58 stars in the last 30 days (+1%) against adding 47 stars for Redash (+0.2%). Lightdash is the smaller project of the two, so it is closing the gap rather than extending a lead.
Both projects show recent activity, with Lightdash last updated 32 minutes ago and Redash 3 days ago.
Both tools share common technology foundations, being built with JavaScript, CSS, Typescript, JSX. However, they differ in their additional technology choices: Lightdash uses Bash, Next.js while Redash leverages Python.
Redash has been in development longer, starting 13 years ago, compared to Lightdash which began 5 years ago. This 7.5-year head start suggests Redash may have more mature features and established processes.
The projects use different licenses: Lightdash is licensed under MIT while Redash uses BSD-2-Clause. Consider the licensing requirements when choosing for your project.
Both tools serve similar use cases in Data Visualization, BI Platforms. However, they also have distinct specializations: Lightdash also focuses on Semantic Layer Platforms.
Lightdash provides self-hosting options for complete data control and customization, while Redash may be primarily cloud-based or require different deployment approaches.