Locust vs OpenText LoadRunner
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
Free and open source
Open sourceQuote on request
Quote onlyWhat drives the bill
The metric that actually scales your invoice.
Free and open source. You pay in engineering time and CI minutes.
Licensed by peak virtual users with protocol bundles priced separately. Historically among the most expensive tools in testing.
Free tier
Everything, self-hosted
Community edition with a 50-virtual-user limit.
Open source
MIT
Self-hostable
No-code authoring
Languages
Platforms
Fits teams
Adoption
Widely used
OSS community · since 2011
Established
OpenText · since 1993
Strengths
- 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.
- The broadest protocol coverage available anywhere.
- Extremely mature analysis and correlation tooling.
- Accepted by enterprise architecture and audit functions without argument.
Limitations
- 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.
- 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.
Best for
Python teams who want load scenarios expressed in their own language.
Large enterprises with legacy protocol requirements and an existing performance-engineering team.
Pricing last reviewed August 2026 and is indicative only — confirm on each vendor’s own page.