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RustFS

RustFS

High-Performance S3 Object Storage for AI & Cloud-Native

RustFS is an open-source, Apache 2.0-licensed distributed object storage system built in Rust. A fast, memory-safe, S3-compatible object store engineered for AI workloads, data-intensive applications, and seamless migration from legacy object storage platforms.

30,530+GitHub Stars
2,700,000+Deployments
7,166,727+Docker Pulls
5,089+Repo Commits
Why RustFS

Built for the next generation of object storage

Rust-native engineering, Apache 2.0 licensing, and S3 compatibility for AI infrastructure and seamless MinIO migration workflows.

High-Performance

Built in Rust for low overhead on the data path with parallel I/O and distributed architecture.

S3-Compatible

Drop-in compatibility with AWS SDKs, S3-aware tools, and existing workflows.

Memory-Safe & Secure

Rust core delivers memory safety with self-hosted control, IAM, encryption, and audit features.

Scalable & Available

Distributed design avoids single points of failure with horizontal and vertical scaling.

Advanced Erasure Coding

Flexible Reed-Solomon erasure coding balances efficiency, overhead, and durability.

Open Source

Apache 2.0 licensed with predictable operations and no vendor lock-in.

Core Capabilities

Production-ready distributed object storage

Everything you need for high-performance, secure, and scalable S3-compatible storage.

Data Plane Performance

Parallel I/O path in Rust delivers low-latency, high-throughput object storage for data-intensive workloads.

S3 API Compatibility

Works with AWS SDKs, MinIO tools, and any S3-aware analytics, backup, observability, or AI pipeline.

Self-Hosted Control

Full control plane stays with you — no phoning home, with IAM, encryption, and configurable audit features.

Erasure Coding

Configurable Reed-Solomon profiles for durability and storage efficiency tailored to each workload.

Production Ready

GA release with active development, enterprise support path, and proven deployments at scale.

AI Infrastructure Ready

Built for AI workloads with ongoing work on RDMA support and DPU offload for erasure coding and encryption.

Use Cases

Built for modern data workloads

AI & Machine Learning

High-throughput object storage for training datasets, model artifacts, and inference pipelines.

Data Lakes & Analytics

S3-compatible storage for Spark, ClickHouse, Elasticsearch, and modern data stacks.

Backup & Disaster Recovery

Reliable, scalable object storage for backups with long-term retention and efficient recovery.

Cloud-Native Applications

Drop-in replacement for legacy object stores in Kubernetes and containerized environments.

RustFS vs. Legacy Object Storage

Choose RustFS when memory safety, S3 compatibility, open licensing, and predictable operations matter more than vendor lock-in.

FeatureRustFSLegacy Object Storage
Memory SafetyMemory-safe implementation in RustDepends on runtime and implementation discipline
LicenseBusiness-friendly Apache 2.0 licenseLicense terms can restrict commercial redistribution
S3 CompatibilityS3 API compatibility for common object-storage workflowsS3 behavior can differ across products and gateways
Control PlaneSelf-hosted control plane with no phoning homeTelemetry and logging may leave local control boundaries
Platform SupportBroad multi-architecture supportPlatform coverage often depends on separate editions

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