![]() ![]() ![]() Still, this is an interesting scenario because it approximates a change that affects a large portion of the codebase, like an API change in a library that is used by most of the codebase.Īdditionally this scenario is interesting for Maven users to see if the performance advantages over Maven come from caching or other factors since they usually do clean builds for reliability reasons. Even on CI, completely full builds can usually be avoided thanks to build caching (more on that later). This build includes building all class files of the project, packaging them as JAR as well as running all unit tests.īoth Gradle and Bazel users rarely run full builds locally. The external dependencies are available in the local dependency cache. This scenario is a full build with no existing output in the build output directory and no local or remote build cache available. Some of the optimizations used are experimental and were enabled by feature flags. See the instructions for details on how to reproduce the measurements.įor each scenario below, Gradle is benchmarked using the latest performance optimizations of Gradle 6.5 including a configuration cache and file-system watching. The different scenarios are measured with the following project sizes and shapes: Project nameĪll of the test projects are open source, including the runners that were used to take the measurements. A build system for the JVM should support both approaches well. It requires a serious migration effort and change of workflows and culture to switch from one approach to another. Both approaches have a significant footprint in the JVM ecosystem and often also within a single organization. In this article we will not cover the advantages and disadvantages of the various ways to approach structuring code, either within a single large source repository or across many smaller source repositories. This ranges from large repositories with many million lines of code to small library/microservices projects. Our approach for this comparison is to model common Java project types. The question is always how applicable the results of such test projects are for real life projects and, more importantly, for your project. It would be easy to create some test projects to show that either Gradle is dramatically faster than Bazel or vice versa for a particular performance scenario. Gradle and Bazel have different approaches and areas of focus with respect to performance optimization. In this section we describe our approach to making performance comparisons and the results based on representative scenarios. These include the size and structure of your project, the toolchain you are using, and your workflows. ![]() How well a build system performs for your project depends on a variety of factors. To learn more about the acceleration technology supported in Gradle Enterprise for the Gradle, Maven, and soon Bazel build tools, watch this video entitled “ Speed Up Maven Builds | Maven Build Cache Technology & Business Case Explained.” Performance Today this includes Gradle and Maven, but will include Bazel and other tools in the future. This allows users to benefit from faster and more reliable builds without migrating to any specific build tool. In recognition of this, Gradle Enterprise provides analytics and acceleration for more than just Gradle. We will provide an equivalent comparison for Android projects in a follow up article.Īt the same time, recognizing that individual tools have unique strengths in addressing the needs and requirements of specific developer ecosystems and specific use cases, we expect that build tool specialization and fragmentation will continue to be the norm across and even within these ecosystems (e.g. In summary, the data and analysis indicates clearly that Gradle is a better choice than Bazel for most JVM projects. Gradle provides more compelling features and conveniences for common use cases in JVM projects.Optimizing projects for Bazel comes at a significant cost for build authoring and maintenance.Despite Bazel’s strong and well-deserved reputation for performance and scalability, Gradle outperforms Bazel in almost every scenario we tested.What follows is a detailed comparative performance analysis and evaluation of key capabilities, that arrives at three major conclusions: Recently, we have received inquiries about the suitability of Google’s Bazel build tool for usage within JVM environments. Many popular projects have migrated from Maven to Gradle, with Spring Boot being a prominent example. It is downloaded on average more than 15 million times per month and has been counted in the Top 20 Most Popular Open Source Projects for IT by Techcrunch. It is the most popular build tool for open source JVM projects on GitHub. Gradle has emerged as the build tool of choice for projects within the JVM ecosystem, including Kotlin. ![]()
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