What is the main difference between DataLens and Grafana?

DataLens and Grafana 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 Grafana?

The choice between DataLens and Grafana 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 Grafana?

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

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DataLens vs Grafana

Learn how DataLens and Grafana 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

Grafana

Grafana unifies metrics, logs, traces, profiles, and business data into one OpenTelemetry-native platform with AI-assisted root cause analysis and adaptive cost controls.

Visit Grafana Read more

76,391stars+605(+0.8%)

Last 30 days

Last commit
8 hours ago
Repository age
13 years
Version
v13.2.0
License
AGPL-3.0
Self-hosted
Yes
Repository
grafana/grafana

Detailed Comparison

Grafana 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.

Grafana wins

Community & Popularity

Grafana significantly outpaces DataLens in community adoption with 76,391 stars compared to 1,698 stars on GitHub. This 45.0x difference suggests Grafana has a much larger and more active community. In terms of developer contributions, Grafana has 14,626 forks, indicating strong developer engagement.

Grafana wins

Growth Momentum

Grafana is growing faster, adding 605 stars in the last 30 days (+0.8%) against adding 4 stars for DataLens (+0.2%). Grafana is both larger and pulling further ahead.

Comparable

Development Activity

Both projects show recent activity, with DataLens last updated 10 hours ago and Grafana 8 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: Grafana leverages CSS, Typescript, JSX, Golang, Ruby.

Grafana wins

Project Maturity

Grafana has been in development longer, starting 13 years ago, compared to DataLens which began 3 years ago. This 9.9-year head start suggests Grafana may have more mature features and established processes.

Comparable

Licensing

The projects use different licenses: DataLens is licensed under Apache-2.0 while Grafana uses AGPL-3.0. Consider the licensing requirements when choosing for your project.

Comparable

Use Cases & Features

Both tools serve similar use cases in Data Visualization. However, they also have distinct specializations: DataLens also focuses on BI Platforms while Grafana extends into Infrastructure Monitoring, Performance Monitoring (APM).

Comparable