OpenText LoadRunner vs Locust
Feature checklists rarely decide anything. What decides it is the pricing metric, who has to write the tests, and which limitation you can live with.
Entry price
Quote on request
Quote onlyFree and open source
Open sourceWhat drives the bill
The metric that actually scales your invoice.
Licensed by peak virtual users with protocol bundles priced separately. Historically among the most expensive tools in testing.
Free and open source. You pay in engineering time and CI minutes.
Free tier
Community edition with a 50-virtual-user limit.
Everything, self-hosted
Open source
MIT
Self-hostable
No-code authoring
Languages
Platforms
Fits teams
Adoption
Established
OpenText · since 1993
Widely used
OSS community · since 2011
Strengths
- The broadest protocol coverage available anywhere.
- Extremely mature analysis and correlation tooling.
- Accepted by enterprise architecture and audit functions without argument.
- Test scenarios are plain Python, so any logic is expressible without workarounds.
- Distributed mode is conceptually simple and works well on Kubernetes.
- Live web UI is useful during an exploratory ramp-up.
Limitations
- Very expensive, and the protocol-bundle licensing model is hard to predict.
- Dated tooling and a steep learning curve; specialists are a distinct job role.
- Poor fit for continuous, developer-run performance testing.
- Python's per-user overhead is higher than k6 or Gatling; big loads need more machines.
- Reporting is basic — plan on exporting to Grafana.
- HTTP-centric; other protocols require writing your own client.
Best for
Large enterprises with legacy protocol requirements and an existing performance-engineering team.
Python teams who want load scenarios expressed in their own language.
Pricing last reviewed August 2026 and is indicative only — confirm on each vendor’s own page.