Dynamic

Bazel vs CMake

Developers should learn and use Bazel when working on large-scale, multi-language projects that require fast, incremental builds and consistent results across different environments, such as in monorepos or distributed systems meets developers should learn cmake when working on c, c++, or other compiled language projects that need to be built on multiple platforms (e. Here's our take.

🧊Nice Pick

Bazel

Developers should learn and use Bazel when working on large-scale, multi-language projects that require fast, incremental builds and consistent results across different environments, such as in monorepos or distributed systems

Bazel

Nice Pick

Developers should learn and use Bazel when working on large-scale, multi-language projects that require fast, incremental builds and consistent results across different environments, such as in monorepos or distributed systems

Pros

  • +It is particularly valuable for teams needing reproducible builds, efficient dependency management, and support for languages like Java, C++, Python, and Go, as it reduces build times through advanced caching and parallel execution
  • +Related to: starlark, build-automation

Cons

  • -Specific tradeoffs depend on your use case

CMake

Developers should learn CMake when working on C, C++, or other compiled language projects that need to be built on multiple platforms (e

Pros

  • +g
  • +Related to: c-plus-plus, make

Cons

  • -Specific tradeoffs depend on your use case

The Verdict

Use Bazel if: You want it is particularly valuable for teams needing reproducible builds, efficient dependency management, and support for languages like java, c++, python, and go, as it reduces build times through advanced caching and parallel execution and can live with specific tradeoffs depend on your use case.

Use CMake if: You prioritize g over what Bazel offers.

🧊
The Bottom Line
Bazel wins

Developers should learn and use Bazel when working on large-scale, multi-language projects that require fast, incremental builds and consistent results across different environments, such as in monorepos or distributed systems

Disagree with our pick? nice@nicepick.dev