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!
4.3
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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Deployed on AWS
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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 |
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no refunds
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By Gatling Corp
By Artillery
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In Testing
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In Testing, Monitoring
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10
In Application Performance and UX Monitoring
Sentiment is AI generated from actual customer reviews on AWS and G2
Functionality
Ease of use
Customer service
Cost effectiveness
Positive reviews
Mixed reviews
Negative reviews
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 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.
Standard contract
No
No
Customer reviews
Keshav K
Automated API performance testing has streamlined workflows and now saves weeks of manual effort
Reviewed on Jun 15, 2026
Review provided by PeerSpot
What is our primary use case?
Gatling Enterprise is used by our organization to create performance test cases and functional test cases for our service. A specific example of one of the test cases we created using Gatling Enterprise is for a pricing service, which we built in Java, so we needed a Java-based testing service. Before we were using JMeter , but now we are moving to Gatling Enterprise.
How has it helped my organization?
Gatling Enterprise has positively impacted our organization by streamlining the workflow, easing the task, and reducing manual labor. In terms of hours saved, we have reduced approximately one to two weeks worth of work.
What is most valuable?
The best features Gatling Enterprise offers include being used in Java, providing a very good interface so we do not have to manually do the UI changes and can simply write the code. It is very much integrable with AI, and AI can write Gatling Enterprise scripts for us.
The AI integration has helped us significantly. We basically created a skill so that from the OpenAPI spec file, it can directly read the data and create the Gatling Enterprise script for us, so we do not have to manually code all the scripts.
Regarding Gatling Enterprise's AI capabilities, I believe it is pretty secure, and we did not find any issues working with it. Its accuracy and reliability of output seem pretty accurate and reliable, and we did not find any problems.
What needs improvement?
The setup is a little difficult. What I found is that you have to do a manual setup for Gatling Enterprise to be installed on your computer, and that can be improved.
For how long have I used the solution?
I have been using Gatling Enterprise for approximately six months.
What do I think about the stability of the solution?
Gatling Enterprise is stable.
What do I think about the scalability of the solution?
Gatling Enterprise's scalability is pretty scalable, and we did not find any issues.
How are customer service and support?
The customer support for Gatling Enterprise is good.
Which solution did I use previously and why did I switch?
We previously used JMeter , which was UI based and did not involve a lot of coding in it. However, as we are all developers here in Oracle, it is much easier for us to work with Gatling Enterprise.
How was the initial setup?
The setup is a little difficult. What I found is that you have to do a manual setup for Gatling Enterprise to be installed on your computer, and that can be improved.
What was our ROI?
I have seen a return on investment. In testing, our team's employment situation has improved in that fewer employees are needed, and we do not need a large number of workforce as before when we were using JMeter. We required a lot of QA staff, but now we do not.
What's my experience with pricing, setup cost, and licensing?
My experience with pricing, setup cost, and licensing has been that it is free only. Gatling Enterprise is open source, and licensing requires a third-party license, but it is easy.
Which other solutions did I evaluate?
Before choosing Gatling Enterprise, we evaluated JMeter versus Gatling Enterprise and found Gatling Enterprise to be much better.
What other advice do I have?
If you are a small developer team, then it is good to have Gatling Enterprise for testing purposes. I found this interview good and do not believe anything needs to change for the future. My overall review rating for Gatling Enterprise is 8.
Computer Software
Rich Data Generators and Powerful Simulation Run Management
Reviewed on Apr 28, 2026
Review provided by G2
What do you like best about the product?
I like the flexibility I get in implementing data generators (feeders). This allows for representative and sufficiently random data that ultimately gives meaningful performance test results.
I also like the simulation run management and history offered by the enterprise product which lets non-engineers to access and use the results directly.
The technical documentation is an ever-evolving artifact but in its current state it is useful and well structured and helps newcomers create effective simulations, not just "hello world" versions.
I also like the simulation run management and history offered by the enterprise product which lets non-engineers to access and use the results directly.
The technical documentation is an ever-evolving artifact but in its current state it is useful and well structured and helps newcomers create effective simulations, not just "hello world" versions.
What do you dislike about the product?
Some of our integrations (e.g. with Github workflows) are brittle, although I should add that they are improving both the integrations themselves and the relevant documentation.
What problems is the product solving and how is that benefiting you?
Infrastructure management (minimum viable configuration)
Infrastructure budget projections
Identification of throughput bottlenecks
SLO monitoring
Performance regression
Infrastructure budget projections
Identification of throughput bottlenecks
SLO monitoring
Performance regression
Deodato A.
Seamless Integrations and Great Out-of-the-Box Reports
Reviewed on Apr 12, 2026
Review provided by G2
What do you like best about the product?
The integration with other tools, along with the out-of-the-box reports, is what I like most.
What do you dislike about the product?
When I first started using Gatling, it was only compatible with Scala, but that’s no longer the case. What I dislike most is that it isn’t fully open source.
What problems is the product solving and how is that benefiting you?
As part of our broader software performance metrics work, Gatling helped me fine-tune request rates and limits across different microservices. That, in turn, made it easier to reduce our overall cloud costs.
Jakub D.
Gatling’s Fluent, Readable Test Scripting Is a Joy to Use
Reviewed on Mar 31, 2026
Review provided by G2
What do you like best about the product?
Gatling’s biggest strength, in my experience, is the developer experience when building test scripts. A lot of effort has clearly gone into the fluent style of writing tests, and even though the scenarios are written as code, they remain easy for humans to read and understand.
What do you dislike about the product?
There’s a lack of automatic correlation detection for test scripts, which makes the process more manual than it needs to be.
What problems is the product solving and how is that benefiting you?
I’ve integrated Gatling into my resilience testing framework, using Kafka along with other messaging protocols. Gatling’s core is highly efficient in terms of memory and overall resource management, which makes it a powerhouse load-testing platform and a strong foundation for expanding support across additional protocols.
Ankit K.
Highly Functional Tool for Performance Testing
Reviewed on Mar 18, 2026
Review provided by G2
What do you like best about the product?
I use Gatling for performance testing and I really like its functionality and reports. It's been good for all aspects so far. The initial setup was easy too, which was a plus.
What do you dislike about the product?
Nothing
What problems is the product solving and how is that benefiting you?
Gatling helps me assess the performance of my APIs with its functionality and reports, which I find very valuable.