Gatling Studio

Name: Gatling Studio
Brand: Gatling Studio

Helping organizations improve their online performance to get ready for success.

Est 2011

LinkedIn 6K|Website|Web traffic 26K|FTEs 50|HQ Neuilly-sur-Seine, Île-de-France, FR

MarketsPerformance Testing

01Competitive Landscape

Narrative competitive analysis

- Vs JMeter: JMeter provides a mature GUI and a broad plugin ecosystem. Gatling has historically been code-first; Studio introduces a recorded-journey-to-code approach but is not equivalent to fully GUI-authored test plans in some GUI-focused toolchains. - Vs k6: k6 is often chosen for JavaScript-based scripting and integrations with observability tooling. Gatling’s differentiator is the combination of the Gatling engine, Enterprise for distributed execution and dashboards, and Studio’s browser-recording workflow. - Vs NeoLoad/LoadRunner-style tools: those tools often appeal to organizations that prefer GUI-driven workflows, vendor services, and enterprise governance, even at higher cost.

Adoption trends / market signals

Community announcements and product launch posts indicate Studio is a recent addition to the Gatling portfolio; the component may still be evolving.

	Gatling Studio / Gatling Enterprise	Grafana Cloud k6	Tricentis NeoLoad
Starting Price	Basic and Team tiers priced in the hundreds per month when billed annually; Enterprise custom pricing	Free tier available; paid plans include a platform fee plus usage-based VUh pricing	Enterprise-priced, typically multiple thousands per year with custom licensing
Recommended Use	Teams aiming to convert browser journeys into test-as-code and scale via Enterprise; suitable for CI/CD integration	Teams using Grafana/observability stack and preferring JavaScript-based scripting; pay-as-you-go scaling	Enterprises needing a mature UI-driven performance testing platform and enterprise governance workflows
Key Capabilities	Browser-recording-to-code workflow (Studio) plus load-test-as-code and Enterprise dashboards/distributed infrastructure	Observability integration; usage-based scaling; developer-focused scripting in JavaScript	UI-centric authoring, enterprise governance, and vendor services for large organizations
Key Limitations	Studio export initially limited to Java+Maven; Studio requires an Enterprise login; some enterprise capabilities require custom pricing	Usage-unit models can be difficult to forecast at scale/frequency; still requires scripting expertise for complex scenarios	Higher cost and licensing complexity; may require significant budget for enterprise deployments

01Competitive Landscape

Narrative competitive analysis

Vs JMeter: JMeter provides a mature GUI and a broad plugin ecosystem. Gatling has historically been code-first; Studio introduces a recorded-journey-to-code approach but is not equivalent to fully GUI-authored test plans in some GUI-focused toolchains.
Vs k6: k6 is often chosen for JavaScript-based scripting and integrations with observability tooling. Gatling’s differentiator is the combination of the Gatling engine, Enterprise for distributed execution and dashboards, and Studio’s browser-recording workflow.
Vs NeoLoad/LoadRunner-style tools: those tools often appeal to organizations that prefer GUI-driven workflows, vendor services, and enterprise governance, even at higher cost.

Adoption trends / market signals

Community announcements and product launch posts indicate Studio is a recent addition to the Gatling portfolio; the component may still be evolving.

	Gatling Studio / Gatling Enterprise	Grafana Cloud k6	Tricentis NeoLoad
Starting Price	Basic and Team tiers priced in the hundreds per month when billed annually; Enterprise custom pricing	Free tier available; paid plans include a platform fee plus usage-based VUh pricing	Enterprise-priced, typically multiple thousands per year with custom licensing
Recommended Use	Teams aiming to convert browser journeys into test-as-code and scale via Enterprise; suitable for CI/CD integration	Teams using Grafana/observability stack and preferring JavaScript-based scripting; pay-as-you-go scaling	Enterprises needing a mature UI-driven performance testing platform and enterprise governance workflows
Key Capabilities	Browser-recording-to-code workflow (Studio) plus load-test-as-code and Enterprise dashboards/distributed infrastructure	Observability integration; usage-based scaling; developer-focused scripting in JavaScript	UI-centric authoring, enterprise governance, and vendor services for large organizations
Key Limitations	Studio export initially limited to Java+Maven; Studio requires an Enterprise login; some enterprise capabilities require custom pricing	Usage-unit models can be difficult to forecast at scale/frequency; still requires scripting expertise for complex scenarios	Higher cost and licensing complexity; may require significant budget for enterprise deployments