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.

InfluxDB – The purpose-built time series platform for high-velocity ingestion and real-time queries at scale.

Learn More

Learn more

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

Stars
1,690
Forks
115
Last commit
1 month ago
Repository age
3 years
License
Apache-2.0
Self-hosted
Yes

Activity score

77/100

View Repository

Grafana

Grafana is a multi-platform open source analytics and interactive visualization web application that provides charts, graphs, and alerts for the web.

Visit Grafana Read more

Stars
75,683
Forks
14,315
Last commit
5 hours ago
Repository age
13 years
License
AGPL-3.0
Self-hosted
Yes

Activity score

99/100

View Repository

Detailed Comparison

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

Grafana wins

Community & Popularity

Grafana significantly outpaces DataLens in community adoption with 75,683 stars compared to 1,690 stars on GitHub. This 44.8x difference suggests Grafana has a much larger and more active community. In terms of developer contributions, Grafana has 14,315 forks, indicating strong developer engagement.

Grafana wins

Development Activity

Grafana shows more recent development activity with its last commit 5 hours ago, while DataLens was last updated 1 month ago. This suggests Grafana is being more actively maintained.

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