TOOL SIGNAL / ACTIVE

Gatling Enterprise

Gatling Corp.

Cloud Load Testing Commercial Hybrid

Frequently asked

Is it open source?

No. Gatling Enterprise is listed as commercial.

What protocols does it support?

Gatling Enterprise supports HTTP, HTTPS, WebSocket, JMS.

Is it cloud or self-hosted?

Gatling Enterprise is listed as hybrid.

Is it still maintained?

Gatling Enterprise is listed as active.

Gatling Enterprise is the commercial cloud and self-managed platform from Gatling. It adds managed injection, scheduling, dashboards, and collaboration to Gatling tests.

About

Gatling Enterprise is a comprehensive performance testing platform that unifies QA, development, and operations teams. It facilitates the design, execution, and analysis of load tests through a centralized, collaborative interface, offering features for managing global infrastructure, team permissions, and advanced reporting.

Features

  • Enterprise-wide orchestration for distributing traffic across multiple global load generators to simulate millions of virtual users
  • Advanced, real-time, and interactive reporting with centralized history for trend analysis and regression tracking
  • Team collaboration tools, including role-based access control (RBAC), shared projects, and public report links
  • Enterprise-grade security, including Single Sign-On (SSO) (SAML v2.0, OpenID Connect) and encryption
  • Native CI/CD and observability integrations (e.g., Slack, Jira, Datadog, Prometheus, OpenTelemetry)
  • Visual injection profile configuration for adjusting load patterns without code changes

Pricing

Gatling Enterprise uses a usage-based, credit-based pricing model where 1 credit equals a 1-minute test using 1 load generator. Pricing is available through flexible plans or custom offers based on team requirements, including custom limits for virtual users, load generators, and duration. A 14-day free trial is available.

Author / Company

Gatling Corp.

AI features

  • Failure Diagnosis (released August 2026): Automatically analyzes broken runs to identify root causes based on recurring failure patterns
  • AI-driven trend analysis and run comparison (released June 2026)
  • AI Skills for coding agents via MCP (Model Context Protocol) support

Latest release

"" · August 2026

Released 'Failure Diagnosis' in August 2026, a feature that surfaces root causes for broken runs, such as crashes, timeouts, or configuration issues directly on the run page.

GROUNDED VIA EXA · 2026-08-11

Signal notes