RustFS is a high-performance distributed object storage system written in Rust, providing S3-compatible APIs for storing and retrieving objects. It serves as an alternative to MinIO, designed specifically for high performance, security, and reliability.

RustFS is a simple, efficient, and distributed object storage solution. It is also an efficient, open-source, and free object storage solution. It is 100% compatible with the S3 protocol and is released under the Apache2 license. RustFS is written in Rust, currently the world's most popular memory-safe language. It is a commercially friendly distributed object storage product contributed by excellent engineers from around the world. RustFS can replace many object storage products with non-friendly open source licenses.

Features of RustFS

S3 Compatible: 100% compatible with S3 protocol, excellent compatibility with big data, data lakes, backup software, image processing software, and industrial production software;
Distributed: RustFS is a distributed object storage, therefore, RustFS can meet various requirements;
Commercial Friendly: RustFS is 100% open source software and is released under the Apache v2.0 license, making it commercially friendly;
Fast: The performance of Rust as a development language is infinitely close to the speed of C language. Therefore, RustFS performance is very powerful;
Secure: RustFS is written in the memory-safe language Rust, therefore, RustFS is 100% secure;
Cross-platform: RustFS works on Windows, macOS, and Linux;
Extensible: RustFS supports custom plugins, therefore, RustFS can meet various requirements;
Customizable: Due to its open-source nature, you can customize various plugins, therefore, RustFS can meet various requirements;
Cloud Native: RustFS supports deployment via Docker and other methods, enabling quick deployment in cloud-native environments.

Usage Guide

The default username and password are rustfsadmin. Please log in to the admin panel and change the password promptly!

Open Source Community

RustFS is licensed under Apache 2.0, encouraging community contributions and transparency, with an active developer community for support.

Use Cases:

Cloud Native Applications: Provides efficient data storage and retrieval for modern cloud-native applications
Big Data and AI Workloads: Optimized support for data lakes, AI, and big data processing
Enterprise Storage: Supports multi-tenant management, observability, and other enterprise-grade features
Backup and Archiving: Reliable long-term data storage solution
Content Distribution: High-performance platform for content storage and distribution