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  1. Stackups
  2. DevOps
  3. Build Automation
  4. Java Build Tools
  5. Bazel vs Gradle

Bazel vs Gradle

OverviewComparisonAlternatives

Overview

Gradle
Gradle
Stacks24.3K
Followers9.8K
Votes254
GitHub Stars18.1K
Forks5.0K
Bazel
Bazel
Stacks314
Followers579
Votes133

Bazel vs Gradle: What are the differences?

Comparison between Bazel and Gradle

  1. Build Language and Configuration: Bazel uses its own language called Starlark for build configuration, which is a Python-based DSL (Domain-Specific Language). On the other hand, Gradle uses Groovy or Kotlin for build configuration, providing a more flexible and expressive language for developers.

  2. Build Performance: Bazel is known for its emphasis on build speed and scalability. It uses a distributed caching mechanism and an intelligent target dependency graph to parallelize builds effectively, resulting in faster incremental builds. In contrast, Gradle's performance may vary depending on the build complexity and customization, but it provides more flexibility in terms of plugin ecosystem and build customization.

  3. Build Reproducibility: Bazel guarantees build reproducibility by enforcing hermetic builds. It ensures that builds are isolated from external factors, such as system environment and toolchain updates, resulting in consistent and deterministic builds. While Gradle supports reproducibility through its build caching feature, it does not enforce strict hermeticity by default, allowing more flexibility but potentially introducing variations in build outputs.

  4. Build Ecosystem: Bazel has a more limited plugin ecosystem compared to Gradle. Although Bazel provides a plugin system, the number of available plugins is relatively smaller compared to Gradle's extensive plugin ecosystem. Gradle offers a wide range of community and official plugins, which can be easily integrated into the build process, adding additional functionality and convenience.

  5. Build Scale and Monorepo Support: Bazel is designed for large-scale projects and monorepo setups, where multiple projects are combined into a single repository. It excels in handling complex and interconnected project structures, allowing fine-grained control over dependencies and incremental build optimizations. Gradle, while also capable of handling monorepos, may face performance challenges when dealing with large-scale projects due to its underlying design differences.

  6. Interoperability and Integration: Gradle has better integration with existing build systems and IDEs, making it easier to adopt and migrate existing projects. It has a more established presence in the Java ecosystem and supports various languages and frameworks out of the box. Bazel, although gaining popularity, may require additional effort to integrate with existing tools and frameworks, especially in non-Java ecosystems.

In Summary, Bazel and Gradle have distinguishing characteristics in terms of build language, performance, reproducibility, ecosystem, scalability, and interoperability. The choice between them depends on the specific requirements and context of the project, considering factors such as build complexity, scale, and existing toolchain integration.

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Detailed Comparison

Gradle
Gradle
Bazel
Bazel

Gradle is a build tool with a focus on build automation and support for multi-language development. If you are building, testing, publishing, and deploying software on any platform, Gradle offers a flexible model that can support the entire development lifecycle from compiling and packaging code to publishing web sites.

Bazel is a build tool that builds code quickly and reliably. It is used to build the majority of Google's software, and thus it has been designed to handle build problems present in Google's development environment.

Declarative builds and build-by-convention;Language for dependency based programming;Structure your build;Deep API;Gradle scales;Multi-project builds;Many ways to manage your dependencies;Gradle is the first build integration tool
Multi-language support: Bazel supports Java, Objective-C and C++ out of the box, and can be extended to support arbitrary programming languages;High-level build language: Projects are described in the BUILD language, a concise text format that describes a project as sets of small interconnected libraries, binaries and tests. By contrast, with tools like Make you have to describe individual files and compiler invocations;Multi-platform support: The same tool and the same BUILD files can be used to build software for different architectures, and even different platforms. At Google, we use Bazel to build both server applications running on systems in our data centers and client apps running on mobile phones;Reproducibility: In BUILD files, each library, test, and binary must specify its direct dependencies completely. Bazel uses this dependency information to know what must be rebuilt when you make changes to a source file, and which tasks can run in parallel. This means that all builds are incremental and will always produce the same result;Scalable: Bazel can handle large builds
Statistics
GitHub Stars
18.1K
GitHub Stars
-
GitHub Forks
5.0K
GitHub Forks
-
Stacks
24.3K
Stacks
314
Followers
9.8K
Followers
579
Votes
254
Votes
133
Pros & Cons
Pros
  • 110
    Flexibility
  • 51
    Easy to use
  • 47
    Groovy dsl
  • 22
    Slow build time
  • 10
    Crazy memory leaks
Cons
  • 8
    Inactionnable documentation
  • 6
    It is just the mess of Ant++
  • 4
    Hard to decide: ten or more ways to achieve one goal
  • 2
    Bad Eclipse tooling
  • 2
    Dependency on groovy
Pros
  • 28
    Fast
  • 20
    Deterministic incremental builds
  • 17
    Correct
  • 16
    Multi-language
  • 14
    Enforces declared inputs/outputs
Cons
  • 3
    No Windows Support
  • 2
    Bad IntelliJ support
  • 1
    Lack of Documentation
  • 1
    Constant breaking changes
  • 1
    Poor windows support for some languages
Integrations
No integrations available
Java
Java
Objective-C
Objective-C
C++
C++

What are some alternatives to Gradle, Bazel?

Apache Maven

Apache Maven

Maven allows a project to build using its project object model (POM) and a set of plugins that are shared by all projects using Maven, providing a uniform build system. Once you familiarize yourself with how one Maven project builds you automatically know how all Maven projects build saving you immense amounts of time when trying to navigate many projects.

Pants

Pants

Pants is a build system for Java, Scala and Python. It works particularly well for a source code repository that contains many distinct projects.

JitPack

JitPack

JitPack is an easy to use package repository for Gradle/Sbt and Maven projects. We build GitHub projects on demand and provides ready-to-use packages.

SBT

SBT

It is similar to Java's Maven and Ant. Its main features are: Native support for compiling Scala code and integrating with many Scala test frameworks.

Buck

Buck

Buck encourages the creation of small, reusable modules consisting of code and resources, and supports a variety of languages on many platforms.

Apache Ant

Apache Ant

Ant is a Java-based build tool. In theory, it is kind of like Make, without Make's wrinkles and with the full portability of pure Java code.

Please

Please

Please is a cross-language build system with an emphasis on high performance, extensibility and reproduceability. It supports a number of popular languages and can automate nearly any aspect of your build process.

CMake

CMake

It is used to control the software compilation process using simple platform and compiler independent configuration files, and generate native makefiles and workspaces that can be used in the compiler environment of the user's choice.

Sonatype Nexus

Sonatype Nexus

It is an open source repository that supports many artifact formats, including Docker, Java™ and npm. With the Nexus tool integration, pipelines in your toolchain can publish and retrieve versioned apps and their dependencies

JFrog Artifactory

JFrog Artifactory

It integrates with your existing ecosystem supporting end-to-end binary management that overcomes the complexity of working with different software package management systems, and provides consistency to your CI/CD workflow.

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