Sold by: Gatling Corp
Gatling Enterprise is Gatling's Business Version. Gatling Enterprise helps you manage all aspects of load testing through its web interface. Run your Gatling's simulations and get access to advanced features!
4.4
Overview
Gatling Enterprise is the official cloud solution of the open-source solution, Gatling. Gatling is one of the leading load testing solutions, designed for DevOps and CI/CD.
Anticipate crashes and performance issues, investigate your application's bottlenecks and become the leader of your industry.
Gatling promotes a "Load Test As Code" approach, designed for integration and automation. Gatling integrates a lightweight scripting DSL, a web recorder, the support of various protocols, a Jenkins' plugin to automate your tests and many more features.
Gatling Enterprise Cloud helps you manage your load testing strategy at the scale of your entire organization. Run your Gatling's simulations and get access to advanced features: New metrics (TCP connections, bandwidth usage, DNS resolutions, injectors' monitoring, trends) on live reporting; Clustering (for large-scale load testing campaigns); Tests history; Collaboration features (teams, rights and permissions); More integrations available (Github actions, Gitlab CI and more to come).
Take Gatling to the next level with Gatling Enterprise.
Useful links:
- Our official website page about Gatling Enterprise: https://gatling.io/enterprise/
- For support question, please contact us: https://gatlingcorp.atlassian.net/servicedesk/customer/portal/8
Highlights
- Live reporting, various metrics (requests' response times, TCP connections, bandwidth usage, DNS resolutions, injectors' monitoring) and trends
- CI plugins (Jenkins, TeamCity, Bamboo), public APIs, Grafana datasource
- And much more! More info: https://gatling.io/enterprise/
Details
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Delivery method
Deployed on AWS
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AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing
Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/month |
|---|---|---|
Scout 500 | 500 minutes | $99.00 |
Scout 1000 | 1000 minutes | $198.00 |
Scout 1500 | 1500 minutes | $297.00 |
Scale 2000 | 2,000 minutes | $396.00 |
Scale 4000 | 4,000 minutes | $792.00 |
Scale 6000 | 6,000 minutes | $1,188.00 |
Dimensions summary
You buy testing minutes as a contract commitment. One minute equals a 1-minute test using one load generator. The six options split into two groups. The Scout options give you 500, 1000, or 1500 minutes. The Scale options give you 2,000, 4,000, or 6,000 minutes. You pick a single option based on how much testing capacity you need. Each higher amount adds more included minutes. This unit applies to both managed and self-managed load generators.
Top-of-mind questions for buyers
One minute equals a 1-minute test using one load generator. If you run a test across multiple load generators, each generator consumes minutes for the time it runs. This counting applies to both managed (public) and self-managed (private) load generators.
Your account will not be blocked if you go past the base amount included in your option. But you cannot continue testing until you purchase additional units. To discuss consumption above your base amount, contact the vendor's sales team.
The platform includes quotas, stop-criteria, and usage dashboards. These guardrails stop runaway tests and make spending predictable. You can monitor consumption and set limits so tests do not draw down more minutes than intended.
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Resources
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Support
Vendor support
Support portal where you can create a ticket in case of a technical issue or if you need assistance
AWS infrastructure support
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Updated weekly
By Gatling Corp
By Artillery
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In Application Performance and UX Monitoring
Sentiment is AI generated from actual customer reviews on AWS and G2
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AI generated from product descriptions
Load Testing Protocol Support
Supports various protocols for comprehensive load testing scenarios and application performance validation
Live Reporting and Metrics
Provides live reporting with metrics including request response times, TCP connections, bandwidth usage, DNS resolutions, and injectors' monitoring with trend analysis
Distributed Load Testing
Enables clustering capabilities for large-scale load testing campaigns across multiple injectors
CI/CD Integration
Integrates with CI/CD platforms including Jenkins, TeamCity, and Bamboo plugins, along with public APIs and GitHub Actions support
Test Management and Collaboration
Offers test history tracking, team-based collaboration features with role-based access control and permissions management
Multi-Framework Support
Supports JMeter, Gatling, Locust, Node.js (including HTTP, websockets, Socket.io, and Engine.io), Webdriver.io, Selenium Java, Serenity BDD, PhantomJS, SlimerJS, record-and-replay, and HAR files for test definition.
Distributed Load Generation
Enables unlimited tests and virtual users per test runner EC2 instance with multi-instance grid coordination and real-time aggregation of results across multiple instances.
Performance Analytics and Reporting
Provides percentiles, success analytics, trend analysis for every metric, with customizable and shareable results views for different stakeholders.
Automatic Scaling and Alerting
Automatically scales and detects concurrent user capacity based on defined performance requirements, tracks changes across test runs, and alerts when tests fail to meet success criteria.
CI/CD and Monitoring Integration
Integrates with leading monitoring tools like NewRelic and CI solutions to embed load testing and monitoring into software development lifecycle.
End-to-End Test Automation
Support for Playwright-based end-to-end testing with centralized dashboard for test results, inline traces, screenshots, and CI integrations
Multi-Protocol API Testing
Support for multiple protocols including HTTP, GraphQL, WebSocket, and Socket.IO for API-level testing
Distributed Load Testing
Distributed load testing capability from multiple geographic regions running from organization's own AWS accounts with ability to reuse functional tests for load testing at scale
Real-Time Test Observability
Real-time monitoring and observability with custom charting, visualization, tracing support for Playwright and HTTP tests, and report sharing capabilities
Enterprise Security and Access Control
Enterprise-ready features including single sign-on (SSO), audit logs, and cost controls
Standard contract
No
No
Customer reviews
Phuc L.
Easy Network Traffic Recording for Load Testing, with Grafana Integration
Reviewed on Sep 28, 2026
Review provided by G2
What do you like best about the product?
It’s easy to record network traffic, which makes it great for back-end performance testing. It can also be integrated with real-time data display tools like Grafana. Easy for implementing in a remote server and for daily load testing. Written in Java code, it allows users to implement highly complex user scenarios. Having the free tier version to begin. Newly AI integration. Supporters are highly available.
What do you dislike about the product?
Having fewer useful features in the free tier version than the enterprise version.
What problems is the product solving and how is that benefiting you?
Gatling allows our company to define the load capacity and security capacity of our services with less cost and easy maintenance.
Computer Software
Gatling: Simple and Efficient Load Testing to Validate Performance
Reviewed on Sep 24, 2026
Review provided by G2
What do you like best about the product?
I like Gatling because it allows for simple and efficient load testing. I have used it in my work to validate application performance in both non-production and production environments, analyzing metrics and detecting bottlenecks to identify improvement opportunities.
What do you dislike about the product?
One of its main limitations is that it has a steeper learning curve than tools like JMeter, especially due to its code-based approach. Additionally, it can be more complex to simulate complete scenarios and highly varied or dynamic user flows, requiring more effort to model them accurately.
What problems is the product solving and how is that benefiting you?
Gatling allows for the detection of performance issues before they reach production, such as bottlenecks, high response times, or degradation under load. It benefits me because I can validate application capacity and detect problems early.
Numan I.
Scalable Performance Testing with Easy Maintenance
Reviewed on Sep 21, 2026
Review provided by G2
What do you like best about the product?
I like Gatling because it provides a scalable performance testing framework that's easy to maintain. The reporting is great, and I appreciate the reusability options for scenarios, which makes testing more efficient. It integrates well across CI/CD pipelines and the initial setup was a breeze. Switching from JMeter to Gatling was smooth due to the user-friendly framework and code.
What do you dislike about the product?
The documentation could be improved. I'd like to see more examples, especially around authentication, data parameterization, and assertions, as it would make onboarding easier.
What problems is the product solving and how is that benefiting you?
Gatling provides a scalable performance testing framework for our CI/CD pipelines. It's easy to maintain and offers proper reporting and scenarios reusability, making it a great tool for performance testing.
Paul C.
Simple to Use for Real user Journey Test Design
Reviewed on Sep 20, 2026
Review provided by G2
What do you like best about the product?
It’s simple to use, and it lets me design tests that follow a real user journey.
What do you dislike about the product?
Some features are only available in the Enterprise version, while others are genuinely interesting and useful.
What problems is the product solving and how is that benefiting you?
I’m able to design tests at both large and small scales, and the architecture lets me adapt quickly in either direction.
Raman B.
Gatling Java DSL: Maintainable Load Tests, Excellent Reports, and Seamless CI/CD
Reviewed on Sep 15, 2026
Review provided by G2
What do you like best about the product?
Gatling's Java DSL is the standout feature — writing load test scenarios in code means tests live in Git, get peer-reviewed, and stay maintainable long-term. We built a shared internal library (gatlingcommon) of reusable feeders, load patterns, and helpers that any team can import and use in minutes, which has dramatically reduced onboarding time for new load test projects.
The built-in HTML reports are clean and actionable — per-request percentile breakdowns, throughput charts, and response time distributions are generated out of the box with zero dashboard setup, cutting post-run analysis time significantly.
CI/CD integration is seamless — the Maven plugin fits naturally into Jenkins pipelines, giving fine-grained control over simulation execution and report generation.
Performance-wise, Gatling is exceptionally efficient. A single node can simulate thousands of virtual users with minimal resource consumption.
Pricing is a strong ROI story for open-source users — the core tool is free, and the ecosystem is mature enough to cover most enterprise load testing needs.
The community forum is active, and the documentation is thorough. Onboarding a new team member to write their first simulation takes a day, not a week.
The built-in HTML reports are clean and actionable — per-request percentile breakdowns, throughput charts, and response time distributions are generated out of the box with zero dashboard setup, cutting post-run analysis time significantly.
CI/CD integration is seamless — the Maven plugin fits naturally into Jenkins pipelines, giving fine-grained control over simulation execution and report generation.
Performance-wise, Gatling is exceptionally efficient. A single node can simulate thousands of virtual users with minimal resource consumption.
Pricing is a strong ROI story for open-source users — the core tool is free, and the ecosystem is mature enough to cover most enterprise load testing needs.
The community forum is active, and the documentation is thorough. Onboarding a new team member to write their first simulation takes a day, not a week.
What do you dislike about the product?
The biggest limitation is distributed load testing: the open-source version offers no supported way to merge binary simulation logs from multiple nodes into a single consolidated report. Starting with Gatling 3.11.x, the simulation log format changed to binary, which makes manual log merging impossible. In 3.10.x, manually merging logs was a workable workaround, but that option is no longer available. As a result, teams running distributed tests are pushed to either stay on older versions or move to Gatling Enterprise.
Support for the open-source version is community-driven only. When you hit critical blockers, the official response is often along the lines of, “this is only supported in Gatling Enterprise.”
Reference:
Support for the open-source version is community-driven only. When you hit critical blockers, the official response is often along the lines of, “this is only supported in Gatling Enterprise.”
Reference:
What problems is the product solving and how is that benefiting you?
Gatling solves the problem of realistic, high-volume load testing in a developer-friendly way. By providing a code-first DSL in Java, it allows us to write load test scenarios that are version-controlled, peer-reviewed, and reusable — treating performance tests as first-class code rather than throwaway scripts.
The biggest benefit has been standardization across teams. We built a shared internal library of reusable load patterns, feeders, and helpers that any team can import, which means a new load test project can be up and running in minutes instead of days.
Gatling also solves the reporting problem — generating detailed HTML reports with per-request percentile breakdowns, throughput, and response time distributions out of the box means we spend less time building dashboards and more time acting on results.
On the CI/CD side, the Maven plugin integrates cleanly into Jenkins pipelines, making it easy to run performance tests as part of our regular release process rather than as a manual afterthought.
Overall, Gatling has shifted load testing from a specialist activity to something any developer on our team can contribute to.
The biggest benefit has been standardization across teams. We built a shared internal library of reusable load patterns, feeders, and helpers that any team can import, which means a new load test project can be up and running in minutes instead of days.
Gatling also solves the reporting problem — generating detailed HTML reports with per-request percentile breakdowns, throughput, and response time distributions out of the box means we spend less time building dashboards and more time acting on results.
On the CI/CD side, the Maven plugin integrates cleanly into Jenkins pipelines, making it easy to run performance tests as part of our regular release process rather than as a manual afterthought.
Overall, Gatling has shifted load testing from a specialist activity to something any developer on our team can contribute to.