- Stars
- 60,611
- License
- AGPL-3.0
- Last commit
- 2 months ago
GoActive
Best Object Storage & Filesystems Tools
Distributed object storage systems and cluster filesystems for large-scale data.
Object storage and distributed filesystems provide scalable, fault-tolerant storage for large data sets, exposing data as objects or via POSIX-like interfaces. They are designed for environments where capacity, durability, and horizontal scaling are primary concerns. Open-source projects such as MinIO, Ceph, SeaweedFS, RustFS, Apache OpenDAL, Storj, Garage, and Supabase Storage Engine cover a range of performance, consistency, and deployment models. Managed SaaS offerings like Amazon S3, Azure Blob Storage, and Google Cloud Storage offer fully operated alternatives for teams that prefer not to manage the underlying infrastructure.
Top Open Source Object Storage & Filesystems platforms
- Stars
- 31,343
- License
- Apache-2.0
- Last commit
- 17 days ago
GoActive
RustFS
High-performance Rust-based distributed object storage with S3 compatibility
- Stars
- 24,209
- License
- Apache-2.0
- Last commit
- 17 days ago
RustActive
- Stars
- 16,416
- License
- —
- Last commit
- 18 days ago
C++Active
- Stars
- 4,976
- License
- Apache-2.0
- Last commit
- 18 days ago
RustActive
Garage
S3-compatible geo-distributed object storage for small-scale self-hosting
- Stars
- 3,392
- License
- AGPL-3.0
- Last commit
- 1 month ago
RustActive
Recently updated
17 days ago
RustFS delivers fast, safe, and scalable object storage built in Rust, offering S3 compatibility, data‑lake support, and an Apache‑2.0 license, with simple deployment via Docker or script.
What to evaluate
01Scalability
Ability to add capacity and throughput by adding nodes or disks without service interruption.
02Data durability and consistency
Mechanisms such as erasure coding, replication, and quorum writes that protect against data loss and define read/write consistency guarantees.
03Performance characteristics
Throughput and latency for typical workloads (e.g., small object reads, large sequential writes) and support for caching or tiering.
04Ecosystem and integration
Compatibility with S3 APIs, native client libraries, and integration points for backup, CI/CD, and analytics tools.
05Operational complexity
Ease of deployment, monitoring, upgrades, and the level of expertise required to run the system in production.
Common capabilities
Most tools in this category support these baseline capabilities.
- S3-compatible object API
- Erasure coding for durability
- Multi-site replication
- Bucket versioning
- Access control policies
- Lifecycle management
- Metrics and monitoring integration
- Encryption at rest
- POSIX-style filesystem interface
- Self-healing data repair
- Horizontal scaling of nodes
- Hybrid cloud deployment support
Leading Object Storage & Filesystems SaaS platforms
Amazon S3
Scalable object storage service for unlimited data storage and retrieval with high durability and availability
Object Storage & Filesystems
Alternatives tracked
8 alternatives
Azure Blob Storage
Massively scalable cloud object storage service for unstructured data (images, videos, backups) with high durability
Object Storage & Filesystems
Alternatives tracked
8 alternatives
Google Cloud Storage
Scalable object storage for unstructured data
Object Storage & Filesystems
Alternatives tracked
8 alternatives
Most compared product
8 open-source alternatives
Amazon Simple Storage Service (Amazon S3) is an object storage service that offers industry-leading scalability, data availability, and durability for storing and retrieving any amount of data from anywhere on the web. It is used to store files (videos, images, backups, etc.) as objects in buckets, supports fine-grained access controls, and provides features like lifecycle policies and cross-region replication, making it a foundational storage solution for cloud applications and data lakes.
Leading hosted platforms
Frequently replaced when teams want private deployments and lower TCO.
Typical usage patterns
01Backup and archival
Long-term storage of backups, snapshots, and compliance archives where durability and cost efficiency are critical.
02Data lake and analytics
Storing raw and processed data for analytics platforms that read objects directly, often using S3-compatible APIs.
03Content delivery and media assets
Hosting static assets such as images, videos, and software binaries that are served to end users or downstream services.
04Application asset storage
Persisting logs, configuration files, and user-generated content for web and mobile applications.
05IoT and telemetry ingestion
Collecting high-volume, time-series data from devices where write throughput and horizontal scaling are essential.
Frequent questions
What is the difference between object storage and a distributed filesystem?
Object storage manages data as immutable objects accessed via APIs, while distributed filesystems expose a hierarchical, POSIX-like namespace that supports file-level operations.
When should I choose an open-source solution versus a managed SaaS service?
Open-source is preferred when you need full control over hardware, cost, or custom integrations; SaaS is better for rapid deployment, reduced operational overhead, and built-in SLAs.
How does data durability work in systems like Ceph or MinIO?
They use replication or erasure coding to store multiple redundant fragments across different nodes or zones, ensuring data can be reconstructed after hardware failures.
What compatibility should I look for with existing applications?
Check for S3 API compatibility, native client libraries for your language, and support for authentication methods (IAM, LDAP, token-based) used by your stack.
Can these systems be deployed on-premises and in the cloud?
Yes, most open-source object storage and distributed filesystem projects support deployment on bare metal, virtual machines, and container orchestration platforms across on-prem and public clouds.
What are the typical hardware requirements for a production cluster?
Requirements vary, but generally you need multiple storage nodes with sufficient CPU, RAM, and network bandwidth, plus fast disks (SSD or HDD) and optional NVMe for caching.