What is the main difference between Grafana and HyperDX?

Grafana and HyperDX are both performance monitoring (apm) 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: Grafana or HyperDX?

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

Can I migrate from Grafana to HyperDX?

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

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Grafana vs HyperDX

Learn how Grafana and HyperDX differ in their key features, development activity, technology stack and community adoption, so you can decide which of these performance monitoring (apm) tools is best for you.

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.

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76,514stars+622(+0.8%)

Last 30 days

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

HyperDX

Open source observability platform unifying session replays, logs, traces, metrics and errors. Fast search, automatic clustering, $0.40/GB pricing.

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9,870stars+85(+0.9%)

Last 30 days

Last commit
1 day ago
Repository age
3 years
Version
0.3.3
License
MIT
Self-hosted
Yes
Repository
hyperdxio/hyperdx

Detailed Comparison

Both Grafana and HyperDX 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.

Grafana wins

Community & Popularity

Grafana significantly outpaces HyperDX in community adoption with 76,514 stars compared to 9,870 stars on GitHub. This 7.8x difference suggests Grafana has a much larger and more active community. In terms of developer contributions, Grafana has 14,660 forks, indicating strong developer engagement.

Comparable

Growth Momentum

Grafana and HyperDX are moving at much the same rate, adding 622 stars and adding 85 stars respectively over the last 30 days (+0.8% vs +0.9%). Neither is pulling away from the other on momentum alone.

Comparable

Development Activity

Both projects show recent activity, with Grafana last updated 7 hours ago and HyperDX 1 day ago.

Comparable

Technology Stack

Both tools share common technology foundations, being built with JavaScript, CSS, Bash, Typescript, JSX, Golang. However, they differ in their additional technology choices: Grafana uses Python, Ruby while HyperDX leverages Next.js, SCSS.

Grafana wins

Project Maturity

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

HyperDX wins

Licensing

HyperDX uses the MIT license, which is more permissive than Grafana'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 Performance Monitoring (APM). However, they also have distinct specializations: Grafana also focuses on Infrastructure Monitoring, Data Visualization while HyperDX extends into Log Management, Error Tracking.

Comparable