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Bazel VS Buck

Compare Bazel VS Buck and see what are their differences

Bazel logo Bazel

Bazel is a tool that automates software builds and tests.

Buck logo Buck

A high-performance build tool for Android by Facebook
  • Bazel Landing page
    Landing page //
    2024-07-17
  • Buck Landing page
    Landing page //
    2022-03-29

Bazel features and specs

  • High Scalability
    Bazel is designed to handle large codebases and complex dependency graphs efficiently, which makes it suitable for projects with millions of lines of code.
  • Incremental Builds
    Bazel supports incremental builds by only rebuilding parts of the project that have changed, thus saving time and computational resources.
  • Cross-Platform Support
    Bazel supports different platforms including Linux, MacOS, and Windows, enabling consistent build processes across diverse development environments.
  • Reproducible Builds
    It ensures that the same source code will yield identical build outputs, which is beneficial for debugging and ensuring consistency across different environments.
  • Extensibility
    Bazel is highly extensible, allowing developers to define custom build rules and macros to fit their specific needs.
  • Wide Language Support
    Out of the box, Bazel supports many programming languages such as Java, C++, Python, and Go, with the ability to extend to other languages.

Possible disadvantages of Bazel

  • Steep Learning Curve
    Bazel has a complex configuration language and many internal concepts, which might be challenging for new users to learn and adopt quickly.
  • Limited IDE Integration
    Compared to other build systems, Bazel might have limited or less mature support in certain Integrated Development Environments (IDEs), potentially hindering productivity.
  • Overhead of Remote Caching
    While remote caching is a powerful feature, setting it up and maintaining it can introduce additional overhead and complexity to the build process.
  • Initial Setup Complexity
    Getting a project up and running with Bazel can require significant upfront configuration, especially for projects migrating from another build system.
  • Limited Community Support
    Compared to more established build systems, Bazel has a smaller community, which might result in fewer resources and shared knowledge available online.

Buck features and specs

  • Speed
    Buck's advanced dependency graph management allows for fast incremental builds, which can significantly reduce build times compared to other build tools.
  • Deterministic Builds
    Buck ensures that the same input will always produce the same output, which enhances the reliability and consistency across different environments.
  • Reproducibility
    With Buck, you can build the same output from the same source code, ensuring greater confidence in the software you are shipping.
  • Fine-Grained Build Targets
    Buck offers fine-grained control over build rules, which can lead to more efficient builds by minimizing the amount of work needed when small changes are made.
  • Multi-Language Support
    Buck supports multiple programming languages and platforms, making it versatile for diverse project environments.
  • Remote Build Execution
    Buck supports remote build execution, which can speed up the build process by offloading tasks to more powerful servers or distributed environments.

Possible disadvantages of Buck

  • Steep Learning Curve
    The complexity and variety of features in Buck can make it difficult for new users to learn and adopt, especially for those accustomed to simpler build systems.
  • Sparse Documentation
    While there is some documentation available, it can be sparse, and users might struggle to find examples or community support for advanced usage.
  • Limited Ecosystem
    Compared to more established build tools like Maven or Gradle, Buck has a smaller ecosystem of plugins and extensions, which might limit its adaptability for certain projects.
  • Metadata Overhead
    Buck requires the maintenance of a considerable amount of metadata and configuration files, which can increase the complexity of managing large projects.
  • Configuration Complexity
    Setting up Buck and configuring build rules can be complex and time-consuming, requiring a deep understanding of the tool and its intricacies.

Analysis of Bazel

Overall verdict

  • Bazel is a powerful and robust build tool, especially for large-scale projects and organizations that require high build performance and scalability. Its advanced features can significantly improve the efficiency of development workflows. However, there is a learning curve, and the complexity of rules and configurations may not suit smaller projects or those with simpler build requirements.

Why this product is good

  • Bazel is a build tool developed by Google that is designed to support fast and correct builds. It is particularly known for its ability to handle large codebases and complex build dependencies efficiently. Bazel uses a single build language across different platforms, and its build system provides features such as incremental builds, remote build execution, and caching, which make it highly suitable for repetitive and reproducible builds. The tool is capable of handling projects written in multiple languages, such as Java, C++, Python, and more, due to its extensibility with custom rules.

Recommended for

  • Large-scale and complex software projects
  • Organizations that utilize monorepos
  • Developers needing cross-platform support
  • Teams looking to leverage remote build execution
  • Projects with complex dependencies across multiple programming languages

Analysis of Buck

Overall verdict

  • Buck is considered a good build system, especially for certain scenarios.

Why this product is good

  • Buck was developed by Facebook (now Meta) and is designed to handle large codebases efficiently.
  • It utilizes a build graph to minimize unnecessary recompilation, which can significantly speed up build times.
  • Supports parallel builds, allowing multiple tasks to be run concurrently, which is ideal for leveraging multi-core processors.
  • Highly configurable and supports incremental builds, improving the speed of the development cycle by compiling only changed files.
  • Open source, which allows the community to contribute to its development and adapt it for various needs.

Recommended for

  • Large-scale projects where build time is a critical factor.
  • Development teams familiar with or already using similar build systems like Bazel.
  • Projects that require a high degree of configurability and custom build rules.
  • Organizations looking for an open-source solution with an active community and ongoing support.

Bazel videos

Kebenaran dari Powerbank Bazel 450 Series

More videos:

  • Review - BazelCon 2019 Day 2: Half-Day Bazel Bootcamp (Part 1)
  • Review - What's new in Bazel build and Gerrit Code Review

Buck videos

Buck HONEST Operator Review | Rainbow Six Siege

More videos:

  • Review - Unbreakable Pocket Knife Destruction Test - Buck 110 review
  • Review - Buck 110 review after carrying for 9 years

Category Popularity

0-100% (relative to Bazel and Buck)
Front End Package Manager
Continuous Integration
100 100%
0% 0
Development
0 0%
100% 100
DevOps Tools
100 100%
0% 0

User comments

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Social recommendations and mentions

Based on our record, Bazel should be more popular than Buck. It has been mentiond 69 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Bazel mentions (69)

  • Designing for Scale: Repository Structures that Boost Software Development Productivity
    The solution isn't always a knee-jerk switch to a polyrepo. As radwanalmsora highlighted in the discussion, more often it's about investing in robust tooling for your monorepo. Tools like Bazel, Nx, or Turborepo can build graphs to understand dependencies, ensuring CI only runs affected targets. Combined with CODEOWNERS files, these tools enable even massive monorepos (think Google or Meta scale) to function... - Source: dev.to / 3 months ago
  • Monorepo vs Multi-Repo: Why AI Agents Tip the Scale
    Monorepo gave you atomic cross-service changes, a single dependency graph, unified CI/CD, and zero version skew between internal libraries. The cost was large clone sizes, slower CI without build caching, complex permission models, and the need for specialized tooling like Bazel, Pants, Nx, or Buck2 to keep builds fast. - Source: dev.to / 3 months ago
  • Swift and Cute 2D Game Framework: Setting Up a Project with CMake
    I really recommend Bazel (https://bazel.build). - Source: Hacker News / about 1 year ago
  • Why Is This Site Built with C
    Agree regarding easiness of building rust (`cargo build`), extremely satisfying (git clone and cargo build...) Does anyone have any comments on Bazel[1] because I'm kind of settling on using it whenever it's appropriate (c/c++)?.. [1] https://bazel.build/. - Source: Hacker News / over 1 year ago
  • 7 Ways to Use the SLSA Framework to Secure the SDLC
    To achieve reproducibility, your build process must control for environmental differences like timestamps, file ordering, or machine-specific configurations. Tools like Bazel or Nixprovide deterministic build systems that lock down these variables. For instance, Bazel uses a content-addressable cache, meaning the same source code and dependencies always result in the same build outputs, even when run on different... - Source: dev.to / almost 2 years ago
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Buck mentions (9)

  • How to effectively work in big codebases
    Many big companies have built their own tools to reign in this complexity and make it easier and faster for developers to work on large, multi-language code bases. Meta has buck, Amazon has brazil, and Google has bazel. But from my experience, especially, with brazil, these tools also have some rough edges, so understanding how they work can go a long way. - Source: dev.to / about 2 years ago
  • Compiling a single-file app with csc.dll
    We use Buck company wide. Our packaging / deployment system, for example, expects to be given a Buck target to build, not a pre-built binary - I canโ€™t just build my app with dotnet and upload it. While it is possible for a Buck target to be a simple bash command (i.e dotnet publish), doing so makes the target โ€œopaqueโ€ - Buck wouldnโ€™t have any knowledge of my appโ€™s build graph so Iโ€™d lose many of the benefits it... Source: about 3 years ago
  • Just: A Command Runner
    Oh excellent, then better (and more portable!) tools are available: http://pants.build https://ninja-build.org https://buck.build and, if you hate yourself: https://bazel.build. - Source: Hacker News / over 3 years ago
  • Dev Discussions: Everything You Need to Know about Monorepos with Juri Strumpflohner of Nrwl
    Pioneered by tech giants like Google and Meta with tools like Bazel and Buck, monorepos are seeing widespread adoption across companies of all sizes and industries. - Source: dev.to / about 4 years ago
  • Using URLs for dependency management
    Buck has a http_file() that you can use this way, and it has first-class support for Java. Source: about 4 years ago
View more

What are some alternatives?

When comparing Bazel and Buck, you can also consider the following products

Gradle - Accelerate developer productivity. Gradle helps teams build, automate and deliver better software, faster. DocsExplore the documentation of Gradle. Find installation ..

GNU Make - GNU Make is a tool which controls the generation of executables and other non-source files of a program from the program's source files.

npm - npm is a package manager for Node.

Please - A Cross-Language Build System

SCons - SCons is an Open Source software construction toolโ€”that is, a next-generation build tool.

Apache Ant - Apache Ant is a Java library and command-line tool whose mission is to drive processes described in build files as targets and extension points dependent upon each other.