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!
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.
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 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.
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
What exactly counts as one testing minute for billing?
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.
What happens if I use up all my included testing minutes?
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.
How can I keep my testing minutes from being used up unexpectedly?
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.
gatling.io
Helpful?
Vendor refund policy
no refunds
How can we make this page better?
Tell us how we can improve this page, or report an issue with this product.
Give us feedbackReport a problem with this product or seller
Legal
Vendor terms and conditions
Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA).
Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
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 capability 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 Grafana datasource support
Test Management and Collaboration
Offers test history tracking, team-based collaboration features with configurable rights and permissions management
Multi-Framework Support
Supports JMeter, Gatling, Locust, Node.js (HTTP, websockets, Socket.io, Engine.io), Webdriver.io, Selenium Java, Serenity BDD, PhantomJS, SlimerJS, record-and-replay, and HAR files for test definition
Distributed Load Generation
Coordinates distribution of tests and real-time aggregation of results across multiple EC2 instances with unlimited virtual users per instance
Performance Analytics and Reporting
Provides percentiles, success analytics, trend analysis, and customizable result views for all metrics with capability to track concurrent user capacity across test runs
Automatic Scaling and Alerting
Automatically scales to detect and alert on the number of concurrent users that meet defined performance requirements and custom success criteria
Integration with Monitoring and CI Tools
Integrates with leading monitoring tools like NewRelic and CI solutions to embed load testing and monitoring into software development lifecycle
Centralized Test Reporting
Central dashboard aggregating Playwright test results with inline traces, screenshots, and CI integrations for unified visibility across test executions.
Multi-Protocol API Testing
Support for multiple protocols including HTTP, GraphQL, WebSocket, and Socket.IO for comprehensive API-level testing capabilities.
Distributed Load Testing
Load testing execution from multiple geographic regions using organization's own AWS accounts with support for complex web applications.
Test Observability and Tracing
Real-time monitoring with custom charting, visualization capabilities, and tracing support for Playwright and HTTP tests to identify and debug performance issues.
Synthetic Monitoring
Synthetic monitoring capabilities using Playwright for continuous application performance validation and availability verification.
I love Gatling for its excellent tool features, including great language compatibility, especially with Scala. It's very robust, easy to maintain, and highly scalable. Gatling is a must for beginners because it's effortless to manage code and easy to begin with. I like its multi-language compatibility and the reports generated by Gatling are true gems, providing an entire snapshot of performance tests at a glance. The official documentation is great for setup, which makes it easy to use.
What do you dislike about the product?
I feel that many professionals don't even know about it, and I think the marketing can be improved.
What problems is the product solving and how is that benefiting you?
I find Gatling offers effortless code management and multi-language compatibility, and it generates detailed reports for performance testing. It's robust, scalable, and easy for me as a beginner.
Truong D.
Great Potential for Scripting Support in Kotlin and Scala
Reviewed on Aug 17, 2026
Review provided by G2
What do you like best about the product?
It would be great to allow scripting in a couple of programming languages, e.g., Kotlin and Scala.
What do you dislike about the product?
There’s a lack of documentation for integrating with custom logging tools, such as Grafana or Sumo Logic.
What problems is the product solving and how is that benefiting you?
Performance testing.
Yeshwanth V.
Efficient Load Testing with Comprehensive Reports
Reviewed on Aug 14, 2026
Review provided by G2
What do you like best about the product?
Its Async and non blocking architecture make it possible to simulate thousands of concurrent users effectively also reporting capabilities
What do you dislike about the product?
Some Advance features may require additional time to understand and configure the framework
What problems is the product solving and how is that benefiting you?
I use Gatling for performance and load testing. It efficiently simulates thousands of users with minimal resources, offers excellent, detailed reports, supports concurrency, and is developer-friendly with easy CI/CD integration.
Entertainment
Gatling: Easy to Use with a User-Friendly UI
Reviewed on Aug 14, 2026
Review provided by G2
What do you like best about the product?
Gatling is an easy-to-use tool with a user-friendly UI.
What do you dislike about the product?
So far, I haven’t noticed any negative points.
What problems is the product solving and how is that benefiting you?
I use it for load testing with various protocols.
Information Technology and Services
Customizable Performance Testing as Code with Developer-Friendly Gatling
Reviewed on Aug 14, 2026
Review provided by G2
What do you like best about the product?
The best thing I like is that it supports performance testing and load testing as code, making it very easy to write in Scala. Gatling can be configured as code, which I prefer over JMeter's XML configuration. The initial setup was pretty easy because Gatling works via simple coding scripts. The best part is that it is developer-friendly, which is why it is gaining popularity.
What do you dislike about the product?
Sometimes it's difficult for me to simulate the exact number of users or to actually have a understanding about count of how the ramp-up of the users is working. If it is more readable or maybe there is better documentation for that, it would help us to understand the number of users.
What problems is the product solving and how is that benefiting you?
I use Gatling to identify performance issues and memory leaks, enabling fine-tuning of my application. It's great for performance and load testing as code in Scala, which makes it easy to write and customize. The Gatling charts are also offers quite meaningful information.