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

Bazel vs Make

OverviewComparisonAlternatives

Overview

Bazel
Bazel
Stacks313
Followers579
Votes133
Make
Make
Stacks323
Followers130
Votes1

Bazel vs Make: What are the differences?

Introduction

Bazel and Make are build automation tools commonly used in software development. While they serve a similar purpose, there are several key differences between them that make them unique in their own ways.

  1. Building approach: Bazel uses a distributed caching approach, where it only rebuilds the necessary parts of the codebase based on dependencies, resulting in faster builds. On the other hand, Make follows a target-based approach and rebuilds the entire project whenever any part of it changes, which can be time-consuming for larger projects.

  2. Scalability: Bazel is designed to handle large-scale projects with thousands of code files and extensive dependencies. It provides a scalable and incremental build system, making it suitable for complex software development. In contrast, Make is better suited for smaller projects with fewer dependencies and simpler build requirements.

  3. Cross-platform compatibility: Bazel offers better cross-platform compatibility as it can be used on various operating systems, including Linux, macOS, and Windows. It provides consistent builds across different platforms, making it easier for teams working on multiple environments. Make, on the other hand, is more commonly used in Unix-like systems, although there are versions available for other platforms as well.

  4. Configuration language: Bazel uses its own build configuration language called Starlark, which is a dialect of Python. This allows developers to write more expressive and powerful build rules, leveraging the flexibility of Python. Make, on the other hand, uses a simple makefile syntax which is less expressive and lacks the advanced features of a full-fledged programming language.

  5. Parallelization and caching: Bazel automatically parallelizes the build process by default, utilizing the available system resources effectively. It also leverages caching to avoid redundant recompilation of already built artifacts, thus speeding up subsequent builds. Make, on the other hand, requires manual effort to set up parallel execution and caching mechanisms.

  6. Dependency management: Bazel has a fine-grained dependency management system that automatically resolves and manages dependencies at a granular level. This helps in ensuring reproducible builds and avoiding dependency-related issues. Make, on the other hand, relies more on manual configuration for dependency management, which can be error-prone and less efficient.

In summary, Bazel and Make differ in their building approach, scalability, cross-platform compatibility, configuration language, parallelization, and dependency management. Bazel offers a more advanced and scalable solution with better cross-platform support, while Make is simpler and more suitable for smaller projects.

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Detailed Comparison

Bazel
Bazel
Make
Make

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.

The GNU Compiler Collection and GNU Toolchain (Binutils, GDB, GLIBC)

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
Stacks
313
Stacks
323
Followers
579
Followers
130
Votes
133
Votes
1
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
    Constant breaking changes
  • 1
    Lack of Documentation
  • 1
    Learning Curve
Pros
  • 1
    No-nonsense approach to builds. Just works
  • 0
    One-line Execution
Integrations
Java
Java
Objective-C
Objective-C
C++
C++
No integrations available

What are some alternatives to Bazel, Make?

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.

Telosys

Telosys

It is an Open Source code generator. It generates the plumbing and repetitive code for any kind of language. It has been designed to be light and very simple to use.

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.

Optic

Optic

Optic is an open-source tool that automatically documents and tests your API. It makes it easy to keep your API specification and code in sync and automates your contract testing.

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.

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