HyperDX vs VictoriaMetrics
A side-by-side comparison of two self-hosted monitoring & status options — licensing, setup difficulty, resource needs, and what each one replaces.
HyperDX
Open-source observability for logs, traces, and session replay
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VictoriaMetrics
Fast, cost-effective time series database and monitoring solution
| Feature | HyperDX | VictoriaMetrics |
|---|---|---|
| Deploy effort | Under-an-hour setup | Under-an-hour setup |
| Health score | 93 · Excellent | 95 · Excellent |
| Category | Monitoring & Status | Monitoring & Status |
| License | MIT | Apache-2.0 |
| Language | TypeScript | Go |
| Setup difficulty | Medium | Medium |
| Min. RAM | 1,024 MB | 256 MB |
| Deployment | docker, kubernetes, helm | docker, kubernetes, helm |
| GitHub stars | ★ 9,912 | ★ 17,760 |
| First released | 2023 | 2018 |
| Replaces | Datadog, Sentry | Datadog, Grafana Cloud |
What are HyperDX and VictoriaMetrics?
HyperDX
HyperDX is an open-source observability platform that correlates logs, metrics, traces, and session replays in one place. Built on OpenTelemetry and ClickHouse, it helps developers debug production issues quickly.
- Correlated logs, traces, and replays
- OpenTelemetry-native
- ClickHouse storage
- Full-text log search
VictoriaMetrics
VictoriaMetrics is a fast, cost-effective, and scalable monitoring solution and time series database. It is a drop-in replacement for Prometheus storage with lower resource usage and a high-performance query engine.
- Low memory footprint
- MetricsQL query language
- Single-binary or cluster mode
- Prometheus-compatible
HyperDX vs VictoriaMetrics: key differences
HyperDX is written in TypeScript, while VictoriaMetrics is built with Go. Licensing differs — MIT for HyperDX versus Apache-2.0 for VictoriaMetrics. VictoriaMetrics is the lighter option, starting around 256 MB of RAM against 1,024 MB for HyperDX. VictoriaMetrics is the more established project (first released 2018), while HyperDX arrived in 2023.
Why pick each one
Choose HyperDX if…
- Session replay correlation
- Developer-focused UX
Watch out for
- Newer project
- Requires ClickHouse
Choose VictoriaMetrics if…
- Excellent compression and speed
- Easy single-binary deployment
Watch out for
- MetricsQL differs slightly from PromQL
- Smaller ecosystem than Prometheus
Frequently asked questions
Is HyperDX or VictoriaMetrics better?
Neither is universally better. VictoriaMetrics has the larger community; both share a medium setup difficulty, so the decision comes down to features and licensing.
Are HyperDX and VictoriaMetrics free and open-source?
Yes. HyperDX is licensed under MIT and VictoriaMetrics under Apache-2.0. Both can be self-hosted at no software cost.
Can I run HyperDX and VictoriaMetrics with Docker?
HyperDX: yes. VictoriaMetrics: yes.
Which is lighter on resources, HyperDX or VictoriaMetrics?
VictoriaMetrics has the smaller minimum footprint at 256 MB of RAM, compared to about 1,024 MB for HyperDX. Real-world usage depends on library size, user count, and enabled features.