Browse the Knowledge Hub211 resources
Gradle vs Maven, from the test suite’s side
Most comparisons stop at XML versus a DSL. For a test automation team the questions are different: how unit and UI suites are split, how flaky tests are retried and recorded, how forks run in parallel, when tests are skipped as up to date and what CI sees. This compares them on those questions and says which one to pick.
- options
- 2
- dimensions
- 25
- checked
- October 2026
The short answer
Our recommendation
For a standalone Java test automation suite, choose Maven. The POM is declarative and predictable, any Java engineer can read it, Surefire and Failsafe give you the right split between fast tests and environment dependent suites, and flaky test reruns with a record in the XML are built in. Every IDE and CI server understands it without plugins. For a suite of Selenium, REST Assured or Appium tests that is most of what you need from a build tool.
Choose Gradle when the tests live inside a codebase that already builds with Gradle, which covers every Android project and many Kotlin and Spring codebases, or when the build is large enough that incremental execution and the build cache save real CI time. Gradle skips tests whose inputs have not changed and can restore results from a shared cache. Core Maven reruns every test in every module it builds.
The general trade-off follows the same line. Maven is convention and XML: less to decide, less to break, and little room for custom logic without writing a plugin. Gradle is a programmable task graph: faster repeated builds and far more flexibility, paid for with build logic that someone has to own. If nobody on the team wants to own build code, that alone points to Maven.
Side by side
25 dimensions that actually decide it
Download or copy the table if you are writing this up for a decision record.
Apache Maven
Convention based Java build tool configured through a declarative pom.xml, running tests through the Surefire and Failsafe plugins.
Open source, Apache 2.0, no paid tier
Gradle
Programmable build tool for JVM and Android projects, with a Kotlin or Groovy DSL, a task graph, incremental builds and a build cache.
Open source, Apache 2.0, optional paid Develocity platform
| Dimension | Apache Maven | Gradle |
|---|---|---|
| Build model | ||
Build definition Decides who on the team can safely change the build. | Declarative XML in pom.xml, inheriting from parent POMs and the Super POM. | Kotlin or Groovy DSL scripts that are executable code. |
Execution model | Fixed lifecycle phases with plugin goals bound to them. | A task graph built at configuration time, running only what is needed. |
Learning curve for test engineers Test engineers end up maintaining the build of a standalone suite. | Low. Conventions cover most suites with a short POM. | Higher. Configuration versus execution time and lazy APIs take time to learn. |
Custom build logic | Needs a plugin, or awkward combinations of existing ones. | Ordinary code in scripts or convention plugins. |
Dependency conflicts Most NoSuchMethodError failures in test suites come from version mediation. | Nearest definition in the tree wins, not the newest version. | Highest requested version wins by default, with constraints and platforms to control it. |
| Running tests | ||
Unit and integration split Environment dependent suites need teardown to run even when tests fail. | Surefire for *Test, Failsafe for *IT, with failure deferred to verify. | JVM Test Suite plugin declares extra suites, each with its own task. |
Setup and teardown around a suite | pre-integration-test and post-integration-test phases for servers and containers. | Task dependencies and finalizedBy, wired by hand. |
Frameworks | One JUnit Platform provider since Surefire 3.6.0: JUnit 4.12+, 5, 6 and TestNG 6.14.3+. | useJUnitPlatform for JUnit, TestNG and Spock, or the older runners. |
Selecting tests | -Dtest and -Dit.test patterns, groups and excludedGroups for tags. | --tests patterns, repeatable, plus --test-dry-run to preview selection. |
When no tests are found A suite that silently runs nothing is worse than a failing one. | Misnamed classes are skipped and the build passes. failIfNoTests defaults to false. | Gradle 9 fails the task when test sources exist but nothing is discovered. |
Suites against live environments Incremental behaviour that suits unit tests can skip a regression run. | Always runs the tests it is asked to run. | Reports UP-TO-DATE if code is unchanged. Needs --rerun or an extra input. |
| Flakiness and parallel runs | ||
Rerunning failed tests Retries absorb noise. Retries without a record hide decay. | Built in: rerunFailingTestsCount, with failOnFlakeCount as a ceiling. | Official test-retry plugin: maxRetries, maxFailures, failOnPassedAfterRetry. |
Flaky tests in the XML | flakyFailure entries per test case whenever reruns are on. | flakyFailure entries once mergeReruns is enabled. |
Parallel test JVMs | forkCount, for example 2 or 1C per core. | maxParallelForks, 1 by default. |
Isolating parallel forks Parallel browser tests collide on ports, folders and accounts. | surefire.forkNumber placeholder in properties, argLine and environment. | Unique org.gradle.test.worker system property per test JVM. |
Parallel modules | -T builds independent modules concurrently. | org.gradle.parallel=true runs tasks from different projects concurrently. |
| Speed and caching | ||
Skipping unchanged tests The largest saving available on a big multi-module build. | Not in core Maven. Every built module reruns its tests. | Up-to-date checks skip a test task whose inputs have not changed. |
Build cache | Apache Maven Build Cache Extension, per module, local or remote. Requires Maven 3.9+. | Built in, local and remote, at task level. |
Warm local builds | A fresh JVM for each build. | A long lived daemon keeps build logic warm between runs. |
Sharding across CI machines Neither tool splits one suite across machines on its own. | Split by module, profile or test pattern per CI job. | Split by project or --tests filter per job, or paid Develocity Test Distribution. |
| CI and ownership | ||
Report output | JUnit XML in target/surefire-reports and target/failsafe-reports. | JUnit XML in build/test-results plus an HTML report across test tasks. |
Pinning the tool version | Maven Wrapper: mvnw and a properties file. | Gradle Wrapper, plus toolchains to pin the Java used for tests. |
Java required to run the tool Older CI images fail before a single test runs. | Java 8 or later for Maven 3.10. Maven 4 release candidates need Java 17. | Java 17 or later for the Gradle 9 daemon. Toolchains can test older targets. |
Current release Checked on maven.apache.org and gradle.org on 13 October 2026. | 3.10.0 is current. Maven 4 is at release candidate 7. | 9.8.1, released 7 October 2026 with security fixes. |
Android projects | Not part of current Android tooling. | The build system Android projects use. |
A tick marks the option we would pick on that row alone. Rows without a tick are close enough that the choice should come from elsewhere in the table. Checked October 2026; tool releases move quickly, so verify anything you are about to spend money on.
Pick one
Which one fits your situation
Find the list that describes your team, not the tool with the longest feature table.
Choose Apache Maven if
- You are building a standalone Java test suite with Selenium, REST Assured, Appium or Playwright for Java.
- Test engineers, not build engineers, will maintain the build.
- You want flaky test reruns and flake counts without adding a plugin.
- Integration or UI suites need a server or container started and always torn down.
- CI images or client machines still run Java 8 or 11.
Choose Gradle if
- The application under test already builds with Gradle, including any Android app.
- The build is large and multi-module, and unchanged tests rerunning costs real CI time.
- You need build logic that would mean writing a Maven plugin.
- You want a shared remote cache so CI and developers reuse each other’s results.
- Someone on the team is willing to own the build scripts.
What changes the answer
Conditions that reverse the recommendation
A recommendation with no stated limits is a guess. These are the situations where ours does not hold.
The codebase already uses the other tool
Follow the application. Tests that sit beside the code should use the build the developers already maintain, so a Gradle codebase gets Gradle tests and a Maven codebase gets Maven tests, whatever this page recommends.
It is an Android project
Android builds use Gradle. Instrumented and unit tests run through the same build, so Maven is not a realistic option.
CI time is dominated by unchanged modules
If most of each build reruns tests for code nobody touched, Gradle’s up-to-date checks and build cache pay for the extra complexity. Maven’s build cache extension narrows the gap, but needs tuning per build.
Nobody will own the build
For an application build with no dedicated owner, Maven’s conventions decay more gracefully than custom Gradle logic, even on a project where Gradle would otherwise be faster.
In detail
Where the differences actually bite
The dimensions from the table, with the reasoning that would not fit in a cell.
Surefire and Failsafe versus the Gradle test task
Maven splits tests by name into two plugins. Surefire runs classes named Test*, *Test, *Tests and *TestCase in the test phase and fails the build immediately. Failsafe runs IT*, *IT and *ITCase in the integration-test phase, records results without failing, and fails the build in verify, after post-integration-test has run. That ordering is what makes it safe to start an application server, a database container or a mock service before a UI suite and know it will be stopped afterwards, provided you run mvn verify rather than mvn integration-test.
Gradle has one Test task type and lets you register as many as you need. The JVM Test Suite plugin declares suites such as integrationTest or uiTest, each with its own source set, dependencies and task, so Selenium never sits on the unit test classpath. Ordering and teardown are expressed with task relationships such as shouldRunAfter and finalizedBy. It is more flexible, and it is wiring you write yourself rather than a convention you inherit.
For a team whose suites depend on environments, Maven’s split is the better default because the safe behaviour comes free. For a team with several kinds of test in one codebase and good reasons to model them differently, Gradle’s suites are cleaner than stacking Failsafe executions and profiles.
Incremental builds: a strength with one trap for QA
Gradle treats a test task like any other task. Its inputs include compiled classes, the runtime classpath and the task configuration, and if none have changed the task is UP-TO-DATE and its tests do not run. With the build cache on, results can be restored from a previous build on this machine or from a shared remote cache. On a large codebase where a change touches one module, that is a large saving in CI.
The trap is suites that test something outside the build. A regression suite pointed at a staging environment, a contract suite against a third party API or a data check against a database has inputs Gradle cannot see. Run it twice with no code change and the second run reports success without executing anything. The fixes are simple once known: pass --rerun, mark the task with outputs.upToDateWhen { false }, or declare the environment URL or build number as a task input.
Core Maven has no equivalent and simply reruns the tests in every module it builds. The Apache Maven Build Cache Extension, which requires Maven 3.9 or later, adds caching keyed on each module’s inputs with local and remote storage. Its documentation is explicit that results depend on configuring which files and plugin parameters count as inputs, so treat it as a project rather than a switch.
Flaky tests and parallelism in practice
Both tools can retry failed tests and record the flake rather than hide it. In Maven it is built into Surefire and Failsafe: rerunFailingTestsCount sets the attempts, a test that passes on a rerun is counted as a flake in the summary and written as flakyFailure in the XML, and failOnFlakeCount fails the build when flakes pass a threshold. Gradle does the same through the official org.gradle.test-retry plugin, with failOnPassedAfterRetry to fail the build, and the JUnit XML option mergeReruns to produce the same flakyFailure shape.
Parallelism looks similar too. Maven’s forkCount and Gradle’s maxParallelForks both run test classes in several JVMs, and each gives a fork number, surefire.forkNumber or org.gradle.test.worker, for giving each fork its own port, download folder or test account. Process level forks are the safer way to parallelise browser suites than threads inside one JVM.
Neither tool splits one suite across CI machines by itself. Split by module, by tag or by test pattern per CI job, and merge the JUnit XML afterwards. On Gradle, Develocity Test Distribution does this as a paid product.
The general trade-offs beyond testing
Gradle’s own comparison pages claim large speed advantages over Maven, especially with the build cache. Those are vendor numbers measured on vendor chosen builds, so we have not repeated them. The mechanisms behind them are real: a warm daemon, up-to-date checks, task level caching and parallel project execution. Whether they matter depends on build size; on a single module test suite the difference is small, because the time is spent running tests, not building.
Maven’s advantage is that there is little to decide. Conventions set where sources live, how tests are found and what each phase does, and the effective POM shows exactly what will run. Gradle’s scripts are code, which makes complex builds possible and also makes it possible to write configuration that runs on every build, slows everything down and is hard for anyone else to read.
Both are free under Apache 2.0 and both are moving. Gradle 9 needs Java 17 or later to run and removed long deprecated APIs. Maven 3.10 moved to Resolver 2 with stricter validation, and Surefire 3.6.0 removed its legacy providers and TestNG suite XML support. Whichever you choose, pin the tool with its wrapper and upgrade deliberately.
Before you commit
Mistakes teams make on this decision
A Gradle suite reporting green without running
Environment suites marked UP-TO-DATE pass without executing. Mark them never up to date, or pass --rerun in the pipeline that runs them.
Misnamed Maven test classes
A class called LoginChecks is compiled and never run, and the build still passes. Follow the naming patterns or set includes, and watch the Tests run count.
Running mvn integration-test directly
It stops before post-integration-test, so containers and servers started for the suite are never torn down. Always run mvn verify for Failsafe suites.
TestNG suite files after upgrading Surefire
Surefire 3.6.0 no longer supports suiteXmlFiles. Suites selected through testng.xml need moving to groups before the upgrade.
Gradle 9 on an old JDK
The Gradle 9 daemon needs Java 17 or later, so CI images on Java 11 fail before any test runs. Run Gradle on 17 and use a toolchain for the target version.
Retries that hide decay
In either tool, retries without a ceiling let flakiness grow unseen. Set failOnFlakeCount in Maven or failOnPassedAfterRetry in Gradle, and track flakes in reporting.
Setting up a Java automation suite?
QAble builds Java test frameworks, wires them into CI and keeps flaky tests visible rather than retried away. We will review your build and suite structure.
Test automation servicesSwitching cost
Moving a test suite between Maven and Gradle
Moving a standalone suite from Maven to Gradle is mostly mechanical. gradle init can convert a Maven build into a starting point, dependencies map directly, and tests in src/test/java stay where they are. The work is in the parts Maven gave you by convention: Failsafe’s *IT split becomes a separate test suite, pre and post integration test plugins become tasks with explicit ordering and finalizedBy, profiles become properties or separate tasks, and rerunFailingTestsCount becomes the test-retry plugin.
Then fix the behaviour that changes. Environment suites need to be marked never up to date. Fork isolation moves from surefire.forkNumber to org.gradle.test.worker. Report paths in CI move from target to build/test-results. Run both builds side by side in CI for a few weeks and compare test counts per run, because a suite that quietly runs fewer tests is the most common migration failure.
Moving from Gradle to Maven is rarer and usually happens when a test suite is split out of an application build into its own repository. The reverse mapping applies, and any custom Gradle logic has to be replaced by existing plugins or dropped. If the build relies heavily on custom tasks, that is a sign it should stay on Gradle.
Questions
Questions people ask before choosing
Is Gradle better than Maven?
For large multi-module builds, Android and builds that need custom logic, usually yes: incremental execution, the build cache and a programmable DSL save time and effort. For a standalone Java test automation suite, Maven is usually the better choice, because its conventions, built in reruns and Surefire and Failsafe split cover what a suite needs with less to maintain.
Maven or Gradle for Selenium test automation?
For a standalone Selenium suite in Java, Maven. Tests in src/test/java run by convention, Failsafe keeps UI tests separate and guarantees teardown on mvn verify, and rerunFailingTestsCount records flaky tests in the XML. Choose Gradle if the Selenium tests live inside an application that already builds with Gradle.
Is Gradle faster than Maven?
On repeated builds of large projects, generally yes, because Gradle skips unchanged tasks, restores results from a build cache and keeps a warm daemon. Gradle publishes its own comparisons claiming large advantages, which are vendor measurements. On a single module test suite the difference is small, because time goes on running tests. Measure your own build before switching for speed.
Can Maven and Gradle be used together?
Not in one build, but side by side, yes. Organisations often have Maven and Gradle projects consuming each other’s artefacts through the same repository manager, and Gradle 9.8 can reuse Maven’s mirror settings. During a migration, keep both builds in CI for a few weeks and compare test counts per run before retiring one.
Are Maven and Gradle free?
Yes. Apache Maven, including Surefire and Failsafe, and Gradle Build Tool are both open source under the Apache 2.0 licence. Develocity, from the company behind Gradle, is a separate commercial platform for build and test analytics, remote caching, test distribution and flaky test detection, and it supports both Maven and Gradle builds. Neither build tool requires it.
How do I rerun flaky tests in Maven and Gradle?
In Maven, set rerunFailingTestsCount on Surefire or Failsafe; tests that pass on a rerun are counted as flakes and recorded in the XML, and failOnFlakeCount sets a ceiling. In Gradle, apply the org.gradle.test-retry plugin, set maxRetries, enable mergeReruns on the JUnit XML report, and use failOnPassedAfterRetry if flakes should fail the build.
Why did my Gradle tests not run when Maven’s always do?
Gradle marks the test task UP-TO-DATE when nothing it depends on has changed and reuses the previous result. That is correct for unit tests and misleading for suites against a live environment. Run ./gradlew test --rerun, or mark the task never up to date. Maven has no such check in core and reruns the tests every build.
Should I upgrade to Maven 4?
Not for production builds yet. On 13 October 2026, Maven 4 was at release candidate 7, published on 24 September 2026, and needs Java 17. Maven 3.10 is the current stable release and shares Resolver 2 with Maven 4, which makes it a sensible stepping stone. Try Maven 4 on a branch and keep CI on 3.10.
How we compared
How this comparison was put together
We run Maven on client work, building and running Java Selenium, REST Assured and Appium suites through Surefire and Failsafe in Jenkins and GitHub Actions. The Maven rows come from that practice as well as from the Surefire and Failsafe documentation.
Gradle we have evaluated rather than maintained a long-running suite on. Its rows come from the Gradle user manual, the test-retry plugin repository, release notes and small builds written to check behaviour such as up-to-date checks, forks and retries, so treat the Gradle side as a documented, bounded view.
Versions were checked on 13 October 2026, against Maven 3.10.0, Surefire and Failsafe 3.6.0 and Gradle 9.8.1. Both tools changed test behaviour in their latest majors, so confirm anything version specific before you build on it. If something here is wrong for your build, tell us and we will correct it.
Tell us where we are wrongComparisons
More comparisons
Playwright vs Cypress
ComparisonArchitecture, parallelism, debugging and language support compared on the same test suite.Cypress vs Selenium
ComparisonWhere each wins, migration cost in both directions, and which teams should not switch.TestRail alternatives
AlternativesTest management platforms compared on cost, integrations and reporting depth.Jira test management tools
ComparisonXray, Zephyr, QMetry and native options compared for teams already on Jira.Selenium vs Playwright
ComparisonArchitecture, browser coverage, languages, waiting, debugging and migration, with a clear pick for new suites.Puppeteer vs Playwright
ComparisonFor testing and for scraping: browsers, languages, CDP access, PDF and tracing, and when Puppeteer still wins.Selenium alternatives
AlternativesPlaywright, WebdriverIO, Cypress and Robot Framework, each matched to the reason teams leave Selenium.Bruno vs Postman
ComparisonGit-native collections, offline use, pricing, CI runners and what migrating a Postman collection really involves.Insomnia vs Postman
ComparisonAPI design versus API testing: storage, pricing, CI reporting and which one suits which team.Postman alternatives
AlternativesBruno, Insomnia, Hoppscotch, REST Assured, Karate and SoapUI compared on price, storage and CI, after Postman 12.Vitest vs Jest
ComparisonESM and TypeScript handling, Vite integration, mocking differences and a migration checklist, without invented benchmarks.Pytest vs unittest
ComparisonFixtures, assertions, parametrisation, plugins and running unittest suites under pytest while you migrate.Jenkins vs GitHub Actions
ComparisonRunning cost, plugins versus actions, runners, test reporting, sharding, security and migration.GitLab vs GitHub
ComparisonThe platform decision for engineering and QA teams: hosting, pricing tiers, CI/CD, security scanning and test reports.Jenkins alternatives
AlternativesGitHub Actions, GitLab CI/CD, Azure Pipelines, CircleCI and TeamCity, and what each costs to run.k6 vs JMeter
ComparisonScripting model, protocols, distributed runs, CI thresholds, reporting and Grafana Cloud k6 pricing.LambdaTest vs BrowserStack
ComparisonLambdaTest, now TestMu AI, against BrowserStack on devices, parallel pricing, tunnels and test reporting.BrowserStack alternatives
AlternativesSauce Labs, TestMu AI, AWS Device Farm and self-hosted grids, with BrowserStack pricing explained.Want the pipeline built, not just the build tool chosen?
QAble designs and builds automation suites with ISTQB-certified engineers. Start with a free QA audit of your product and current coverage.