--- title: Gatling Reviews meta_title: 'Gatling Reviews 2026: Details, Pricing, & Features | G2' meta_description: Filter 72 reviews by the users' company size, role or industry to find out how Gatling works for a business like yours. aggregate_rating: rating_value: 4.4 review_count: 72 scale: '5' date_modified: '2026-07-18' parent_category: name: Development url: https://www.g2.com/categories/development --- # Gatling Reviews **Vendor:** Gatling **Category:** [Load Testing Tools](https://www.g2.com/categories/load-testing-tools) **Average Rating:** 4.4/5.0 **Total Reviews:** 72 ## About Gatling Gatling is a load-testing solution that helps organizations identify bottlenecks and guarantee website stability under traffic load through test automation. Gatling Enterprise includes advanced features for reporting (live reporting, TCP connections metrics, bandwidth usage, injectors' monitoring) and automation (public APIs, new Continuous Integration plugins, clustering mode). With 16,000,000 downloads for more than 100 000 companies worldwide, Gatling’s solution is used in diverse industries such as software, e-commerce, streaming media, banking, insurance, gaming, and finance. ## Gatling Pros & Cons **What users like:** - Users value the **automation capabilities** of Gatling, enabling efficient load testing and seamless integration with CI/CD workflows. (2 reviews) - Users appreciate the **ease of use** of Gatling, enhancing automation and integration in their testing processes. (2 reviews) - Users value the **excellent customer support** from Gatling, enhancing their overall testing experience and satisfaction. (1 reviews) - Users value the **excellent customer support** from Gatling, enhancing their testing experience and troubleshooting efficiency. (1 reviews) - Users value the **easy setup** of Gatling, facilitating seamless integration with modern CI/CD pipelines for efficient testing. (1 reviews) - Flexibility (1 reviews) - Helpful (1 reviews) - Load Testing (1 reviews) - Simulation (1 reviews) - Time-saving (1 reviews) **What users dislike:** - Users find the **learning curve challenging** for non-developers due to Gatling's Scala-based DSL complexity. (1 reviews) - Users find Gatling's **insufficient documentation** and occasional bugs frustrating, affecting the overall usability and experience. (1 reviews) - Users find Gatling's **documentation lacking** , often encountering confusing information that complicates their experience. (1 reviews) - Users find the **poor UI** of Gatling challenging, especially for those without programming knowledge. (1 reviews) ## Gatling Reviews ### 1. Reliable, Scalable Load Testing with Code and CI/CD Integration **Rating:** 4.5/5.0 stars **Reviewed by:** Sumit D. | QA Engineer, Mid-Market (51-1000 emp.) **Reviewed Date:** July 15, 2026 **What do you like best about Gatling?** What I like most about Gatling is its ability to create realistic, scalable load tests using code. Because the test scenarios are written in code, they’re easy to version control, review, and integrate into CI/CD pipelines. As a result, performance testing becomes a natural part of the development process, rather than something that only happens right before a release. **What do you dislike about Gatling?** One area where Gatling could improve is the learning curve for new users. While the code-based approach is powerful and flexible, it can feel intimidating for testers without a programming background. More beginner-friendly tutorials, ready-to-use templates, and guided setup options would make onboarding smoother and less time-consuming. The reporting is comprehensive, but I’d like to see more interactive dashboards and built-in trend analysis to compare performance across multiple test runs without having to rely on external tools. Integration with popular observability platforms is possible, but the setup can sometimes involve extra configuration steps that could be simplified. From a UI perspective, there’s also room to make navigation and test management more intuitive, especially on larger projects. It would be helpful to add more AI-powered capabilities as well, such as automatic bottleneck detection, test scenario recommendations, or suggestions for optimizing load tests based on previous runs. Overall, these feel like opportunities for enhancement rather than major drawbacks. Gatling has been reliable and performs well for large-scale load testing, but improvements in usability and analytics would make it even more accessible and productive. **What problems is Gatling solving and how is that benefiting you?** Before adopting Gatling, performance testing was largely a manual effort and typically happened late in our release cycle. That timing made it hard to spot scalability issues early, and tracking down performance bottlenecks often required a lot of time and coordination. With Gatling, we’ve been able to automate load and stress tests and integrate them into our CI/CD pipeline, so we can validate application performance with every major release. This shift has helped us catch performance regressions sooner, improve stability under peak traffic, and go into deployments with more confidence. The detailed reports and metrics have also cut down the time needed to review and interpret results, which makes it easier for developers and QA engineers to work together on targeted performance improvements. As a result, we’ve shortened our performance testing cycle, lowered the risk of production issues during high-traffic periods, and delivered more reliable applications to our users. Overall, Gatling has made performance testing more consistent, repeatable, and efficient, and it provides a strong return on the time we invest in building automated test scenarios. ### 2. Effortless Performance Testing with Gatling **Rating:** 4.5/5.0 stars **Reviewed by:** Vishal R. | Software Development Engineer in Test II, Enterprise (> 1000 emp.) **Reviewed Date:** July 15, 2026 **What do you like best about Gatling?** I love how Gatling helps us generate different types of load while keeping test scripts maintainable. The Gatling reports are detailed and make it simple to identify performance bottlenecks. I also appreciate that it easily integrates with Jenkins pipelines, which is really useful for our deployment in a Kubernetes environment. Gatling's feature for generating real-time different load scenarios helps us catch performance issues before they reach production. Maintaining scripts in Gatling is easy, it requires minimal infrastructure, and it's straightforward to learn for anyone with programming knowledge. Setting up Gatling was straightforward by following the Gatling documentation. **What do you dislike about Gatling?** If we can integrate Gatling reports with application performance management tools like Grafana. **What problems is Gatling solving and how is that benefiting you?** I use Gatling to test backend APIs performance under peak load, assess response times, and decide infrastructure for microservices. It generates various load scenarios, helps catch issues before production, keeps scripts maintainable, provides detailed reports for bottlenecks, and integrates easily with Jenkins pipelines. ### 3. Flexible, Coding-First Performance Testing with Clear, Intuitive Reports **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Hospital & Health Care | Mid-Market (51-1000 emp.) **Reviewed Date:** June 21, 2026 **What do you like best about Gatling?** What I like most about Gatling is the flexibility and freedom it gives you when designing performance tests. It makes it easy to create reusable scenarios, build complex test chains, and structure tests in a maintainable way. The ability to use a real programming language such as Kotlin is a major advantage, as it allows for advanced logic and customization that would be difficult to achieve with more restrictive tools. This gives me full control over how I design, organize, and execute my tests. I also appreciate how clear and intuitive the reporting is. The reports are easy to understand and communicate to both technical and non-technical stakeholders. Overall, the coding-first approach and the level of control it provides are what make Gatling stand out for me. **What do you dislike about Gatling?** One area where Gatling could improve is troubleshooting and error analysis. The reports do not always provide enough detail about failed requests, which can make investigations more difficult. For example, when a request returns an HTTP 500 error, it would be helpful to see the underlying error message or stack trace directly in the report instead of having to search through application logs. Having more detailed failure information available out of the box would make debugging and root-cause analysis much faster and more efficient. **What problems is Gatling solving and how is that benefiting you?** The main problems Gatling solves for me are performance regression control and load testing under realistic conditions. It helps detect whether a new update has negatively impacted API performance, such as increased response times or reduced throughput, which is crucial for maintaining stability in production. Another key benefit is the ability to simulate different load scenarios on various machine specifications. This makes it possible to evaluate how systems behave under stress and identify potential bottlenecks or scaling issues before they affect real users. Overall, Gatling provides valuable insight into performance trends and system reliability over time. **Official Response from Diego Salinas:** > Thanks so much for taking the time to share this. We’re really happy to hear Gatling is giving you the control and clarity you need in your testing workflow. Your point on debugging is fair, too. Making failure analysis faster and easier is exactly the kind of feedback that helps us improve the product. Thanks again for the thoughtful review. ### 4. Easy Load Testing with Gatling, Needs Better Server-Side Features **Rating:** 4.5/5.0 stars **Reviewed by:** dmytro s. | Mid-Market (51-1000 emp.) **Reviewed Date:** July 15, 2026 **What do you like best about Gatling?** I like Gatling for its usability and simplicity compared to other tools like JMeter. The multithreading and automation capabilities are particularly beneficial, allowing me to set up each thread with ease and perform a lot of actions. It was great for handling load testing without being overly complicated, which made tasks much easier to manage. The initial setup was quite easy and took less than a day. **What do you dislike about Gatling?** I don't think Gatling was able to run on the server as a watchdog or for deploying tests for stress and load testing. Also, I don't remember if Gatling had the option to run load tests while deploying on CICD. **What problems is Gatling solving and how is that benefiting you?** I use Gatling for blog and API testing to see how applications behave under different load conditions, particularly for stress and load testing. ### 5. Flexible Cloud Setup That Fits Every Team **Rating:** 5.0/5.0 stars **Reviewed by:** Matt P. | QA Lead, Enterprise (> 1000 emp.) **Reviewed Date:** March 09, 2026 **What do you like best about Gatling?** Flexibility. I like to write in Scala, others prefer Kotlin, Frontend and QA colleagues prefer TypeScript or Javascript. All as code, all in cloud. Perfect setup for current times **What do you dislike about Gatling?** Setting up the internal network runners is not ideal, but nothing overcomplicated **What problems is Gatling solving and how is that benefiting you?** Gatling is helping us solve two main problems. First, it removes the ceiling we hit with local testing. When we run tests locally, we’re limited by how many users a workstation can handle, which is usually not enough to understand real scaling behavior (at least with Java; with Scala it’s much better). With Gatling Enterprise, we can safely push tests into the thousands of users and see how our systems actually behave under load. Second, it gives us a controlled way to stress critical user paths so we can validate autoscaling and overall system stability. The biggest benefit isn’t the report itself, but the engineering signal: whether the service stays healthy, whether scaling kicks in correctly, and where it breaks as load increases. With Gatling cloud, we also have the option to run tests from external networks or private IPs, which is great for validating the end-to-end user journey. **Official Response from Diego Salinas:** > Hi Matt, thank you for the detailed review! We're glad the language flexibility and cloud setup are working well for your team. That polyglot workflow is exactly what we designed for, so it's good to hear it's landing that way in practice. And it's great that Gatling Enterprise is helping you get past the local-testing ceiling and giving your team a clear picture of autoscaling and stability under load. That's the part we care most about. Thanks for flagging the internal network runner setup, too. Onboarding steps like that are exactly where we're trying to smooth things out, and specific feedback like yours helps us decide where to focus next. Appreciate you taking the time to write this up in such detail. It's genuinely useful for us, and for other teams weighing up Gatling. Diego from Gatling ### 6. Gatling’s Fluent, Readable Test Scripting Is a Joy to Use **Rating:** 4.0/5.0 stars **Reviewed by:** Jakub D. | Principal Architect, Small-Business (50 or fewer emp.) **Reviewed Date:** March 31, 2026 **What do you like best about Gatling?** 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 Gatling?** 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 Gatling 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. **Official Response from Diego Salinas:** > Thank you so much for the review, Kuba! We’re really glad the scripting experience feels clear and readable. That developer experience has always mattered a lot to us. We also appreciate the feedback on automatic correlation detection. Reducing manual work in script creation is a valuable point, and it’s helpful to hear where the workflow can be smoother. Thanks again for sharing how you’re using Gatling in resilience testing and messaging-based systems. ### 7. Intuitive with Strong Community Support, but Documentation Needs Improvement **Rating:** 5.0/5.0 stars **Reviewed by:** Marijana R. | Quality Assurance Engineer, Information Technology and Services, Mid-Market (51-1000 emp.) **Reviewed Date:** April 25, 2023 **What do you like best about Gatling?** I use Gatling for testing in both my previous and current company, and I really like their support. The switch from using Scala to TypeScript for writing tests has been a positive experience for me. The DSL (domain-specific language) that Gatling has is very intuitive, making it easy to use. I appreciate that it's easy to use, especially compared to tools like JMeter, and I like that you have something more tangible in the code form. The fact that developers can easily jump in and manage changes since it's code-based is great. I find the syntax clear, and the reporting feature is very user-friendly, providing a history of load tests that is quite helpful. The support for languages and clear syntax makes writing tests easier, even for people who might have never coded before. I also find the reporting crucial for quickly getting the information I need and spotting bottlenecks or slow requests at a glance. The feature that allows comparisons between different runs is something I appreciate very much. Additionally, the community support is great. I also recommended Gatling at my current company because I liked it. Setup is now easier thanks to moving from Scala to Java and TypeScript support, which I think helps in facilitating the setup. There's also a recording tool that can get you started quickly. I really like Gatling, think it's a great tool, and appreciate the great support from the community. **What do you dislike about Gatling?** I think maybe their documentation could be a bit more. It is good, but I think it could be improved. Sometimes, you get confusing information that might not be suitable for your case. I think that could be improved. Before, in my previous company, when I used their reporting, I had some bugs in terms of a layout break. If I have a long endpoint written, then the layout would break and basically make the report not useful to me. So I have to make workarounds there. **What problems is Gatling solving and how is that benefiting you?** Gatling is easier to use than tools like JMeter with its clear code form. It supports versioning and lets developers control changes. Its reporting is user-friendly, providing fast insights and helping spot bottlenecks quickly. ### 8. Rich Data Generators and Powerful Simulation Run Management **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Computer Software | Mid-Market (51-1000 emp.) **Reviewed Date:** April 28, 2026 **What do you like best about Gatling?** 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. **What do you dislike about Gatling?** 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 Gatling solving and how is that benefiting you?** Infrastructure management (minimum viable configuration) Infrastructure budget projections Identification of throughput bottlenecks SLO monitoring Performance regression **Official Response from Diego Salinas:** > Thank you so much for the thoughtful review. It’s great to hear Gatling is helping your team create more realistic tests, share results more easily, and keep performance work connected to real engineering goals. We also appreciate your honest note on integrations. CI/CD reliability really matters, and feedback like this helps us keep improving both the product and the documentation. Thanks again for taking the time to share your experience with Gatling. ### 9. Incredible tool! **Rating:** 5.0/5.0 stars **Reviewed by:** Christophe H. | Consultant, Mid-Market (51-1000 emp.) **Reviewed Date:** July 15, 2026 **What do you like best about Gatling?** Gatling was really useful for me, and it completely changed the way I approach load testing. **What do you dislike about Gatling?** Honestly nothing, the tool is almost perfect **What problems is Gatling solving and how is that benefiting you?** Gatling eliminates the guesswork around performance bottlenecks. We catch scalability issues before they hit production, which saves us downtime and keeps our users happy. ### 10. Seamless Integrations and Great Out-of-the-Box Reports **Rating:** 4.0/5.0 stars **Reviewed by:** Deodato A. | DevOps Engineer (CI/CD & Secure SDLC) , Mid-Market (51-1000 emp.) **Reviewed Date:** April 12, 2026 **What do you like best about Gatling?** The integration with other tools, along with the out-of-the-box reports, is what I like most. **What do you dislike about Gatling?** 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 Gatling 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. **Official Response from Diego Salinas:** > Thank you so much for the review. We’re happy to hear Gatling’s integrations and reports have been useful in your performance work, especially when tuning microservices and keeping cloud costs under control. We also appreciate your note on open source. Gatling’s open-source roots are a big part of who we are, and we’ll keep listening to feedback from the community as the product evolves. Thanks again for sharing your experience with Gatling. ## Gatling Discussions - [Is Gatling better than JMeter?](https://www.g2.com/discussions/is-gatling-better-than-jmeter) - 1 comment, 2 upvotes - [What are the protocols supported by Gatling?](https://www.g2.com/discussions/what-are-the-protocols-supported-by-gatling) - 1 comment - [View Gatling pricing details and edition comparison](https://www.g2.com/products/gatling/reviews/gatling-review-7818754?section=pricing&secure%5Bexpires_at%5D=2026-07-18+12%3A33%3A15+-0500&secure%5Bsession_id%5D=1e1a5cf2-90ac-4388-8c57-46b2854b7a1a&secure%5Btoken%5D=7f5d58050947634dae857b98979a7b0cb65d172a7c5d4cf340a059d0e90deca1&format=llm_user) ## Gatling Integrations - [Apache Kafka](https://www.g2.com/products/apache-kafka/reviews) - [AWS CloudFormation](https://www.g2.com/products/aws-aws-cloudformation/reviews) - [AWS CloudFormation](https://www.g2.com/products/aws-cloudformation/reviews) - [AWS CodeBuild](https://www.g2.com/products/aws-codebuild/reviews) - [AWS Secrets Manager](https://www.g2.com/products/aws-secrets-manager/reviews) - [Azure DevOps Server](https://www.g2.com/products/azure-devops-server/reviews) - [Bamboo](https://www.g2.com/products/bamboo-bamboo/reviews) - [Bamboo](https://www.g2.com/products/bamboo/reviews) - [Bamboo](https://www.g2.com/products/bamboo-metrix-bamboo/reviews) - [Buildkite](https://www.g2.com/products/buildkite/reviews) - [Buildkite](https://www.g2.com/products/buildkite-buildkite/reviews) - [CircleCI](https://www.g2.com/products/circleci/reviews) - [Claude Code](https://www.g2.com/products/anthropic-claude-code/reviews) - [Concourse CI](https://www.g2.com/products/concourse-ci/reviews) - [Cursor](https://www.g2.com/products/cursor/reviews) - [Datadog](https://www.g2.com/products/datadog/reviews) - [Datadog](https://www.g2.com/products/datadog-datadog/reviews) - [Dynatrace](https://www.g2.com/products/dynatrace/reviews) - [GitHub](https://www.g2.com/products/github/reviews) - [GitLab](https://www.g2.com/products/gitlab/reviews) - [Google Cloud Build](https://www.g2.com/products/google-cloud-build/reviews) - [Helm](https://www.g2.com/products/helm-helm/reviews) - [Helm](https://www.g2.com/products/helm-2026-06-08/reviews) - [Helm](https://www.g2.com/products/helm-2026-05-29/reviews) - [HELM](https://www.g2.com/products/helm/reviews) - [InfluxDB](https://www.g2.com/products/influxdata-influxdb/reviews) - [Jenkins](https://www.g2.com/products/jenkins/reviews) - [Jira](https://www.g2.com/products/jira/reviews) - [Maven](https://www.g2.com/products/maven-maven/reviews) - [Maven](https://www.g2.com/products/maven-2025-11-28/reviews) - [Maven](https://www.g2.com/products/mavenresearch/reviews) - [Microsoft Teams](https://www.g2.com/products/epc-group-microsoft-partner-microsoft-teams/reviews) - [Microsoft Teams](https://www.g2.com/products/microsoft-teams/reviews) - [New Relic](https://www.g2.com/products/new-relic-new-relic/reviews) - [New Relic](https://www.g2.com/products/new-relic/reviews) - [npm](https://www.g2.com/products/npm/reviews) - [OpenTelemetry](https://www.g2.com/products/opentelemetry/reviews) - [Postman](https://www.g2.com/products/postman/reviews) - [Prometheus](https://www.g2.com/products/prometheus/reviews) - [sbt](https://www.g2.com/products/sbt/reviews) - [Slack](https://www.g2.com/products/slack/reviews) - [TeamCity](https://www.g2.com/products/teamcity/reviews) - [WindSurf AI IDE](https://www.g2.com/products/windsurf-ai-ide/reviews) ## Gatling Features **Functionality** - Stress Testing - Extreme Cases - Test Variety **Agentic AI - Software Testing** - Autonomous Task Execution - Natural Language Interaction - Proactive Assistance **Reporting** - Reporting ## Top Gatling Alternatives - [Apache JMeter](https://www.g2.com/products/apache-jmeter/reviews) - 4.3/5.0 (151 reviews) - [k6](https://www.g2.com/products/k6/reviews) - 4.8/5.0 (31 reviews) - [Postman](https://www.g2.com/products/postman/reviews) - 4.6/5.0 (1,748 reviews)