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

Bazel vs Buck

OverviewComparisonAlternatives

Overview

Bazel
Bazel
Stacks314
Followers579
Votes133
Buck
Buck
Stacks27
Followers145
Votes8
GitHub Stars8.6K
Forks1.1K

Bazel vs Buck: What are the differences?

Bazel and Buck are both build systems commonly used for building software projects. Let's explore the key differences between them.

  1. Language support: Bazel has wider language support compared to Buck. Bazel supports multiple programming languages including Java, C++, Python, and more, while Buck is primarily focused on Java and Android development. This broader language support makes Bazel a preferred choice for projects that use a diverse set of languages.

  2. Build caching: Bazel has more advanced build caching capabilities compared to Buck. Bazel is designed to leverage a persistent and distributed build caching system, allowing it to cache and reuse build artifacts across different machines and builds. This can greatly improve build times, especially in large-scale projects. Buck also supports build caching, but its caching mechanism is not as robust as Bazel's.

  3. Build graph optimization: Bazel has a more sophisticated build graph optimization mechanism compared to Buck. Bazel analyzes the dependencies between build targets and intelligently schedules and parallelizes the build process to optimize for maximum efficiency. It also has a more advanced incremental build feature, which only builds the necessary parts of the project when changes occur. Buck also supports incremental builds, but its optimization capabilities are not as comprehensive as Bazel's.

  4. Ecosystem and community: Bazel has a larger and more active ecosystem and community compared to Buck. Bazel is developed and maintained by Google and has been widely adopted by large organizations, resulting in a strong community of users and contributors. This means that Bazel benefits from a larger pool of resources, documentation, and community support. Buck, on the other hand, has a smaller community and may have fewer resources available for support and troubleshooting.

  5. Integration with IDEs: Bazel has better integration with Integrated Development Environments (IDEs) compared to Buck. Bazel provides support for popular IDEs such as IntelliJ IDEA and Visual Studio Code, allowing developers to easily navigate code, perform searches, and run tests directly within their IDEs. Buck also supports some IDE integrations, but its support may be more limited compared to Bazel.

  6. Maturity and stability: Bazel is generally considered to be more mature and stable compared to Buck. Bazel has been in development for a longer period of time and has undergone extensive testing and refinement by Google and the wider community. This increased maturity and stability can provide more confidence to developers when using Bazel for large-scale projects with complex build requirements. Buck, while still stable, may have a smaller user base and may be perceived as slightly less mature compared to Bazel.

In summary, Bazel, developed by Google, emphasizes hermetic builds and reproducibility, while Buck, created by Facebook, focuses on fast and incremental builds, offering flexibility and performance optimizations.

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Detailed Comparison

Bazel
Bazel
Buck
Buck

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.

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

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
Speed up your Android builds. Buck builds independent artifacts in parallel to take advantage of multiple cores. Further, it reduces incremental build times by keeping track of unchanged modules so that the minimal set of modules is rebuilt.;Introduce ad-hoc build steps for building artifacts that are not supported out-of-the-box using the standard Ant build scripts for Android.;Keep the logic for generating build rules in the build system instead of requiring a separate system to generate build files.;Generate code-coverage metrics for your unit tests.;Generate an IntelliJ project based on your build rules. This makes Buck ideal for both local development builds in an IDE as well as headless builds on a continuous integration machine.;Make sense of your build dependencie
Statistics
GitHub Stars
-
GitHub Stars
8.6K
GitHub Forks
-
GitHub Forks
1.1K
Stacks
314
Stacks
27
Followers
579
Followers
145
Votes
133
Votes
8
Pros & Cons
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
    Learning Curve
  • 1
    Lack of Documentation
  • 1
    Constant breaking changes
Pros
  • 4
    Fast
  • 1
    Runs on OSX
  • 1
    Java
  • 1
    Facebook
  • 1
    Windows Support
Cons
  • 2
    Lack of Documentation
  • 1
    Learning Curve
Integrations
Java
Java
Objective-C
Objective-C
C++
C++
Java
Java
Android SDK
Android SDK
Cocoa Touch (iOS)
Cocoa Touch (iOS)

What are some alternatives to Bazel, Buck?

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.

Gradle

Gradle

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.

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.

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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