What is the main difference between Databuddy and Umami?

Databuddy and Umami are both web analytics 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: Databuddy or Umami?

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

Can I migrate from Databuddy to Umami?

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

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Databuddy vs Umami

Learn how Databuddy and Umami differ in their key features, development activity, technology stack and community adoption, so you can decide which of these web analytics is best for you.

Databuddy

Get powerful web analytics with zero cookies, 100% GDPR compliance, and full data ownership. Lightweight 3KB script delivers real-time insights without compromising user privacy.

Visit Databuddy Read more

Stars
995
Forks
179
Last commit
10 hours ago
Repository age
1 year
License
AGPL-3.0

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Auto-fetched 10 hours ago.

Umami

A lightweight, open-source alternative to Google Analytics that respects user privacy and provides valuable insights.

Visit Umami Read more

Stars
36,296
Forks
6,968
Last commit
1 day ago
Repository age
6 years
License
MIT
Self-hosted
Yes

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Auto-fetched 10 hours ago.

Detailed Comparison

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

Umami wins

Community & Popularity

Umami significantly outpaces Databuddy in community adoption with 36,296 stars compared to 995 stars on GitHub. This 36.5x difference suggests Umami has a much larger and more active community. In terms of developer contributions, Umami has 6,968 forks, indicating strong developer engagement.

Comparable

Development Activity

Both projects show recent activity, with Databuddy last updated 10 hours ago and Umami 1 day ago.

Comparable

Technology Stack

Both tools share common technology foundations, being built with JavaScript, CSS, Typescript, JSX, Next.js. However, they differ in their additional technology choices: Databuddy uses Bash, Rust.

Umami wins

Project Maturity

Umami has been in development longer, starting 6 years ago, compared to Databuddy which began 1 year ago. This 4.7-year head start suggests Umami may have more mature features and established processes.

Umami wins

Licensing

Umami uses the MIT license, which is more permissive than Databuddy's AGPL-3.0 license, potentially offering greater flexibility for commercial use and integration.

Comparable

Use Cases & Features

Both tools serve similar use cases in Web Analytics. However, they also have distinct specializations: Databuddy also focuses on Product Analytics.

Umami wins

Hosting & Deployment

Umami provides self-hosting options for complete data control and customization, while Databuddy may be primarily cloud-based or require different deployment approaches.