Top 6 Alternatives to Gatling for Scala Testing

Introduction: Where Gatling Came From and Why It Took Off

Gatling emerged in the early 2010s as a modern, developer-friendly performance testing tool built on Scala and a highly asynchronous, non-blocking architecture. At a time when many teams were wrestling with heavyweight record-and-playback systems, Gatling introduced a code-first DSL for modeling realistic user journeys, parameterizing requests (via “feeders”), applying checks and assertions, and generating detailed HTML reports. Because it’s written in Scala and runs on the JVM, Gatling quickly appealed to developers who wanted to keep performance testing within the same build and CI/CD workflows they used for application code.

Key elements that fueled its popularity:

• Code-as-load-tests using a Scala-based DSL, which makes tests versionable and reviewable like any other code.

• High performance and efficiency for HTTP and protocol-level testing thanks to an event-driven engine.

• Solid integration points for CI/CD and monitoring/observability stacks.

• An open-source core complemented by an enterprise product (often used for larger test distributions, collaboration, and analytics).

As teams scaled their pipelines and environments, Gatling’s strengths—speed, scalability, and developer-centric workflows—made it a standard choice for web and API load testing. However, not every team needs a Scala DSL for performance work, and not every testing need is about load or protocols. Some organizations prioritize codeless authoring, mobile coverage, or different types of test quality analysis. This is why more teams are exploring alternatives that align with their skills, budgets, platforms, and testing scope.

Overview: The Top 6 Alternatives We’ll Cover

Here are the top 6 alternatives to consider alongside Gatling, depending on your testing goals and constraints:

• LoadRunner

• Mabl

• Repeato

• Stryker

• TestCafe Studio

• Waldo

These tools span performance testing, end-to-end UI automation, mobile testing, and mutation testing for test quality. While some are not direct “load testing” replacements, they are credible alternatives for organizations using Gatling in Scala-centric projects who now need a different testing emphasis.

Why Look for Gatling Alternatives?

Gatling remains an excellent choice for code-first, protocol-level performance testing. Still, teams often explore alternatives for reasons like these:

• Skills and learning curve

• High resource usage at scale

• Narrow focus on load and protocols

• Test authoring and maintenance overhead

• Enterprise features and governance

Alternative 1: LoadRunner

What it is and who built it

LoadRunner is an enterprise performance testing suite originally from Mercury, later acquired and maintained through Micro Focus and now OpenText. It offers broad protocol support and a mature feature set for planning, executing, and analyzing large-scale load tests across web, API, and specialized enterprise protocols.

What makes it different

LoadRunner emphasizes breadth (many protocols), enterprise governance, and a full stack of tooling—recorders, controllers, analysis tools, and integrations for complex, regulated environments.

Core strengths

• Broad protocol coverage beyond web and REST, including many enterprise systems.

• Mature record-and-replay workflow with correlation aids.

• Scalable load generation across distributed infrastructure.

• Rich reporting and analysis for pinpointing bottlenecks.

• Integrations with monitoring and APM tools.

• Enterprise-grade support, licensing, and governance.

How it compares to Gatling

• Approach: Gatling is code-first (Scala DSL), whereas LoadRunner leans on record-and-replay plus proprietary scripting languages for many protocols. Developers who prefer code may gravitate to Gatling; teams that prefer point-and-click flows and broad protocol support might prefer LoadRunner.

• Scalability: Both scale well, but LoadRunner is designed for large, complex enterprise environments with strong centralized control. Gatling scales efficiently with fewer moving parts on the HTTP side but may require more custom tuning and cloud orchestration for massive tests.

• Cost: Gatling has an open-source core; LoadRunner is commercial. Organizations that need enterprise support and multi-protocol coverage may accept LoadRunner’s licensing.

• Team skills: Gatling requires development skills (Scala/DSL), while LoadRunner suits performance engineers comfortable with recorders, correlation, and proprietary scripting.

Best for

Performance engineers and DevOps teams running stress and load tests across varied protocols in enterprise environments.

Alternative 2: Mabl

What it is and who built it

Mabl is a commercial, low-code plus AI end-to-end testing platform. It focuses on web and API functional testing with cloud-first execution and built-in self-healing to reduce maintenance overhead.

What makes it different

Mabl is not a load testing tool; it’s designed to help teams author and maintain reliable E2E tests with minimal code. It offers a SaaS-first experience that fits well into modern, continuous testing workflows.

Core strengths

• Low-code authoring with AI-assisted maintenance and self-healing.

• Strong CI/CD integrations and cloud-native execution.

• Web UI and API testing in one platform.

• Visual and functional assertions to improve coverage.

• Collaborator-friendly dashboards and insights for teams.

How it compares to Gatling

• Testing type: Gatling targets performance/load at the protocol level, while Mabl targets functional E2E and API correctness. If your need is performance testing, Mabl is not a one-to-one replacement. If your need is stable web functional coverage with low maintenance, Mabl may be a better fit.

• Skills: Mabl reduces coding effort; Gatling requires DSL proficiency and performance know-how.

• Scale: Gatling simulates concurrent load; Mabl scales test execution across environments but for functional reliability rather than high-throughput traffic generation.

• Maintenance: Mabl’s self-healing can lower maintenance; Gatling relies on code-based maintainability practices and version control.

Best for

Teams automating end-to-end flows across browsers and platforms in a SaaS-first, low-code manner.

Alternative 3: Repeato

What it is and who built it

Repeato is a commercial, codeless mobile UI testing tool for iOS and Android. It uses computer vision to make tests resilient to certain types of UI changes, aiming to reduce flaky tests in mobile environments.

What makes it different

Repeato focuses on mobile UI automation with a visual, codeless approach. It is not a load testing tool; it is an alternative when your primary goal is improving mobile UI coverage rather than generating load.

Core strengths

• Computer vision-based locators that can be more resilient to UI changes.

• Codeless authoring suitable for cross-functional teams.

• Integrations with CI/CD to run tests in pipelines.

• Targeted at iOS and Android for strong mobile coverage.

• Faster onboarding compared to code-heavy frameworks.

How it compares to Gatling

• Testing type: Gatling is for performance/load; Repeato is for mobile UI functional testing. Choose Repeato if you need better mobile coverage rather than load metrics.

• Team skills: Repeato’s codeless approach suits QA and product teams without deep coding expertise; Gatling expects developer-level scripting and performance understanding.

• Tooling focus: Repeato validates real user flows on mobile devices; Gatling simulates virtual user traffic and measures system performance.

Best for

Teams that need robust, codeless mobile UI test automation for iOS and Android.

Alternative 4: Stryker

What it is and who built it

Stryker is an open-source mutation testing ecosystem (including Stryker4s for Scala). It works by injecting small faults (mutations) into code to assess whether your test suite can detect them, providing a mutation score that reflects test quality.

What makes it different

Stryker is not about load or UI; it’s about test rigor. It helps quantify and improve the effectiveness of your unit and integration tests—particularly relevant for teams working in Scala that want to lift overall test quality.

Core strengths

• Objective measurement of test suite quality via mutation score.

• Supports multiple ecosystems, including Scala via Stryker4s.

• Encourages better assertions and edge-case coverage.

• Open source (Apache-2.0) with community involvement.

• Useful for critical systems where test robustness matters.

How it compares to Gatling

• Testing type: Gatling focuses on system performance under load; Stryker focuses on the strength of your tests themselves. They can be complementary. If your current pain is flaky or shallow unit tests, Stryker addresses that gap.

• Skills and workflow: Stryker fits into developer workflows and local builds; Gatling is often used in performance environments and CI load stages.

• Speed and resources: Mutation testing can be slow and compute-intensive, especially on large codebases. Gatling’s resource usage scales with load generation, but it’s a different dimension of cost and complexity.

Best for

QA engineers and developers who want to ensure high-quality test coverage and strengthen the effectiveness of their test suites in Scala and other languages.

Alternative 5: TestCafe Studio

What it is and who built it

TestCafe Studio is the commercial, codeless IDE variant of the TestCafe framework. It focuses on web UI end-to-end testing and emphasizes developer and tester productivity without requiring Selenium or browser drivers.

What makes it different

TestCafe Studio is designed for web E2E testing with simplified setup and a visual authoring environment. It’s not a load testing solution; it’s a functional UI automation tool that can reduce setup complexity and flakiness in browser tests.

Core strengths

• Codeless authoring with a desktop IDE for quick test creation.

• Runs on modern browsers without external drivers.

• Strong CI/CD integration and parallel execution.

• Cross-browser coverage with consistent behavior.

• Commercial support and a polished authoring/debugging experience.

How it compares to Gatling

• Testing focus: TestCafe Studio validates UI workflows; Gatling generates load to measure performance and scalability. Use TestCafe Studio when your priority is web UI correctness and user journeys, not throughput and latency metrics.

• Skill profile: TestCafe Studio reduces coding and setup; Gatling expects comfort with a Scala DSL and performance engineering.

• Complementary use: Many teams pair a UI tool like TestCafe Studio for functional coverage with Gatling for performance testing. Choosing one depends on your immediate outcome goals.

Best for

Teams automating end-to-end web flows with a codeless, IDE-driven experience and strong CI/CD support.

Alternative 6: Waldo

What it is and who built it

Waldo is a commercial, no-code mobile testing platform for iOS and Android. It provides a recorder-driven workflow and cloud execution so teams can create and run tests without writing code.

What makes it different

Waldo targets fast-moving mobile teams that want to validate app flows at scale without investing in code-heavy frameworks or device farm setup.

Core strengths

• No-code recording for rapid test creation on mobile apps.

• Cloud-based execution and easy CI/CD integration.

• Useful for cross-functional teams, including product and QA.

• Visual insights that are accessible to non-programmers.

• Designed for mobile release velocity and stability.

How it compares to Gatling

• Testing scope: Waldo focuses on mobile UI reliability; Gatling focuses on load generation and performance analysis. They solve different problems.

• Onboarding: Waldo lowers the barrier to entry for mobile testing; Gatling requires scripting and performance modeling.

• When to choose: If your bottleneck is mobile regression coverage and flaky tests on iOS/Android, Waldo is a practical alternative. If your bottleneck is backend scalability and latency under load, Gatling remains the right category of tool.

Best for

Teams that want a no-code, cloud-first way to automate mobile tests across iOS and Android.

Things to Consider Before Choosing a Gatling Alternative

Before you switch or supplement Gatling with another tool, clarify your goals and constraints:

• Testing scope and type

• Language and skills alignment

• Ease of setup and maintenance

• Execution speed and scalability

• CI/CD and DevOps integration

• Debuggability and observability

• Community, ecosystem, and support

• Cost and licensing model

• Governance and compliance

Conclusion: Picking the Right Tool for Today’s Needs

Gatling remains a top choice for code-driven performance testing on web and API systems, especially in Scala- and JVM-centric teams. Its strengths—high-throughput load generation, a powerful DSL, and strong CI/CD integrations—keep it relevant and widely adopted. Yet testing needs are diverse. Some teams need broader protocol support at enterprise scale (LoadRunner). Others are focused on functional E2E coverage with minimal coding (Mabl, TestCafe Studio), or mobile UI reliability (Repeato, Waldo), or even improving the rigor of their test suites via mutation testing (Stryker).

Consider these scenarios:

• You need enterprise-grade, multi-protocol performance testing with mature governance: LoadRunner.

• You want low-code, SaaS-first web and API functional testing: Mabl.

• Your priority is codeless, resilient mobile UI testing: Repeato or Waldo.

• You want to elevate test quality in Scala and beyond through mutation testing: Stryker.

• You prefer a codeless web UI IDE with solid CI features and without browser drivers: TestCafe Studio.

In many organizations, the right answer is not replacing Gatling but complementing it. Pair Gatling with a UI automation tool for functional coverage, or add mutation testing to harden your unit tests. Map your selection to measurable outcomes—performance SLAs, release velocity, flakiness reduction, or coverage quality—and choose the tool that best advances those goals.