Buildless vs Ccache

Buildless is a remote build cache service for teams that want build tools to reuse compiled output rather than repeat compilations. It supports Gradle, Maven, Turborepo, Bazel, CCache, and SCCache, with the maker describing its main integrations as drop-in and requiring no changes to code, the build process, or cloud setup. The docs also list REST/gRPC, Redis (RESP), and GitHub Actions. Its described infrastructure combines Cloudflare edge routing with a Redis-compatible backend through Dragonfly Cloud, plus tunable replication and durable in-memory storage. The Team plan adds premium caching with replication, edge serving, and persistence. Individual / OSS is free, with one project, one user, 3GB of cache, and 100GB transfer. Team is free during the public beta, with five projects, up to 50 users, 10GB cache, and 1TB transfer. Builds are not halted when storage or transfer is exceeded, but overages are charged. Business pricing is TBD and lists private cloud or on-prem options.

Ccache is a build tool that can reduce repeated compilation work by storing prior results and recognizing when a single-file compilation recurs. It supports compilers such as GCC, Clang and MSVC, and languages including C, C++, assembler, CUDA, Objective-C and Objective-C++, with support varying by compiler and language. Runtime support includes Linux, macOS and native Windows at support level A, and Windows with MSYS2 and other Unix-like platforms at level B. Direct and depend modes can avoid running the preprocessor. Remote caching is possible through adaptable storage backends, with listed helpers for HTTP, HTTPS and Redis protocols. Ccache records cache hit and miss statistics, manages cache size, supports Zstandard compression, and uses BLAKE3 and XXH3 in its hashing and corruption checks. It works with Make, CMake, Ninja and Visual Studio. It is free software under the GNU GPL version 3 or later. Its scope has limits: multi-file compilation, linking and compilations with unsupported flags fall back to the real compiler. The project also cautions that cache misses add overhead and recommends measuring typical workloads.