SeaweedFS vs RustFS: When a Tiny Footprint Wins
SeaweedFS and RustFS are both Apache 2.0, single-binary stores, but they solve different problems. SeaweedFS is a distributed file system that also speaks S3, with a 16-byte per-object index that lets one master track billions of files. RustFS is a purpose-built, MinIO-compatible S3 object store with a web console. Pick SeaweedFS when you need a POSIX/FUSE mount, an Iceberg lakehouse, or billions…
SeaweedFS and RustFS are both Apache 2.0, single-binary S3-compatible storage systems. However, they serve different purposes depending on the use case. SeaweedFS is a highly scalable distributed file system that offers an S3 object store, a POSIX file system, and an Iceberg lakehouse with S3 Tables, all managed by a single weed binary.
It is designed to efficiently store and serve billions of small files, utilizing a 16-byte per-object index, a master server that tracks volumes rather than files, and an in-memory index for rapid access. RustFS, on the other hand, is a purpose-built, MinIO-compatible S3 object store written in Rust and released under the Apache 2.0 license.
It focuses on providing a minimal S3 implementation with features such as versioning, lifecycle management, bucket replication, and server-side encryption. Unlike SeaweedFS, RustFS does not include a POSIX layer or a FUSE mount. Metadata footprint is a key differentiator between the two systems. SeaweedFS stores files in append-only volume files and maintains a 16-byte index entry per blob in memory, resulting in a low per-file metadata footprint (only 40 bytes per file on disk).
RustFS, while also minimal, does not publish details about its per-object index size, making it difficult to directly compare the metadata efficiency. Deployment is straightforward for both systems. SeaweedFS can be quickly deployed with a single weed binary using the command `./weed mini -dir = ./data`, which starts the master, volume servers, filer, WebDAV, Iceberg REST catalog, and Admin UI in one process.
Additional volume servers can be added by pointing them at the master. RustFS can be deployed with a single line of code using Docker: `docker run -d -p 9000:9000 -p 9001:9001 -v $( pwd ) /data:/data -v $( pwd ) /logs:/logs rustfs/rustfs:latest`, serving the S3 API on port 9000 and exposing a console on 9001. When choosing between SeaweedFS and RustFS, consider the specific requirements of your workload.
SeaweedFS is the better choice when dealing with extreme file scale and the need for features like file system access, lakehouse functionality, or S3 Tables. It shines in scenarios where you need to manage billions of small files efficiently. RustFS, however, is ideal when you prioritize simplicity and a minimal S3-compatible implementation.
It is well-suited for teams already using MinIO's S3 dialect and require a drop-in replacement with a clean, easy-to-manage solution.
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