NeoLoad 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.

NeoLoadLocust

Entry price

Quote on request

Quote only

Free and open source

Open source

What drives the bill

The metric that actually scales your invoice.

Enterprise licensing by peak virtual users, negotiated annually.

Free and open source. You pay in engineering time and CI minutes.

Free tier

Free edition limited to a small number of virtual users.

Everything, self-hosted

Open source

MIT

Self-hostable

No-code authoring

Languages

CodelessJavaScriptJava

Python

Platforms

APIWebSAPDesktopiOSAndroid

APIWeb

Fits teams

Enterprise

StartupScale-up / mid-marketEnterprise

Adoption

Established

Tricentis · since 2005

Widely used

OSS community · since 2011

Strengths

Handles enterprise protocols such as SAP GUI and Citrix that open-source tools cannot.
APM correlation makes root-cause analysis much faster than latency graphs alone.
Both GUI design and as-code authoring, so mixed-skill teams can share a suite.

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

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 performance-testing SAP, Citrix or Oracle estates.

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.