RustFS
RustFS: A flexible self-hosted S3-compatible store for cloud-native and data-heavy infrastructure. Ranked #42 of 150 in Object Storage Services by our editors (6.0/10); pricing: Free plan; best for teams operating open-source distributed storage.
At a glance
- Editor score6.0 / 10
- PricingFree plan
- Best forTeams operating open-source distributed storage
- Free planYes
- Paid fromNone
- S3 compatibilityYes
- Founded2024 · Atlanta, Georgia, United States
- Facts checked20 Sep 2026

Where it wins
- Apache 2.0 self-hosted deployment with a free Personal plan
- Distributed erasure coding, replication, versioning, and Object Lock
- Broad ecosystem support across AWS SDKs, Kubernetes, Grafana, and data tools
Where it doesn't
- Self-hosted deployment places infrastructure operations on the customer
- Founded in 2024, so its operating history is relatively short
- Production use may require separate migration and operational-readiness work
Our verdict on RustFS
RustFS is an Apache 2.0 distributed object storage system written in Rust for teams that operate their own infrastructure. It provides an S3-compatible API, web console, command-line client, and deployment paths for Linux, Windows, macOS, Docker, and Kubernetes. The product fits cloud-native applications, AI workloads, data lakes, and general unstructured-data storage, with single-node and multi-node deployment options.
The Personal plan provides free self-hosted access under Apache 2.0, including S3-compatible storage, server binaries, Docker and Kubernetes paths, and community issue tracking on GitHub. The Production plan adds migration planning, capacity and topology review, operational readiness guidance, and enterprise requirements discovery. This structure makes RustFS suitable for teams that want control over deployment and storage architecture, while organizations seeking a fully managed object-storage service should consider a different model.
RustFS covers more than basic bucket storage. Distributed erasure coding supports multi-node deployments, while lifecycle management, versioning, Object Lock, multipart uploads, IAM, OIDC, KMS integration, server-side encryption, replication, and cluster health inspection address operational and governance needs. Integrations include AWS SDKs, MinIO tools, Docker, Kubernetes, Grafana, Prometheus, Kafka, PostgreSQL, MySQL, Spark, TensorFlow, ClickHouse, Apache Iceberg, and webhooks. The trade-off is operational responsibility: teams must run and maintain the platform themselves, and the project’s 2024 founding gives it a shorter history than established storage systems. RustFS is a good fit for infrastructure teams prioritizing open-source control and S3 compatibility; teams prioritizing managed operations or a longer track record should look elsewhere.
RustFS pricing
All 2 RustFS plans and prices →
RustFS fact sheet
| Free plan | Yes |
|---|---|
| Paid from | None |
| S3 compatibility | Yes |
| Max object size | Not verified |
| Object versioning | Yes |
| Lifecycle rules | Yes |
| Object immutability | Yes |
| Replication scope | Not verified |
| Deployment | Desktop, Self-hosted |
| Platforms | Linux, Windows, macOS |
| Integrations | 15 integrations: AWS SDKs, MinIO tools, Docker, Kubernetes, Grafana, Kafka … |
| Pricing | Free plan (source) |
| Website | rustfs.com |
| Facts checked | 20 Sep 2026 |
RustFS integrations
RustFS lists 15 integrations on its own site.
- AWS SDKs
- MinIO tools
- Docker
- Kubernetes
- Grafana
- Kafka
- PostgreSQL
- MySQL
- Nginx
- ClickHouse
- Prometheus
- Spark
- TensorFlow
- Webhooks
- Apache Iceberg
Alternatives to RustFS
- Google Cloud StorageA broad object storage service for teams that need cloud integrations and control.9.4
- Amazon S3Deep AWS-native object storage with powerful controls, replication, and usage-based pricing.9.3
- Alibaba Cloud Object Storage Service (OSS)A low-cost object storage service with broad lifecycle, replication, and retention controls.9.1
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Guides on object storage services
- 7 Best Self-Hosted S3-Compatible Object Storage Software in 2026Aug 2026
- How to Choose an Object Storage Platform for Enterprise AI WorkloadsOct 2026
Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
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