Seaweedfs

SeaweedFS is a distributed object store and high-performance file system designed to manage massive volumes of unstructured data. It utilizes a decoupled architecture that separates metadata management from raw data storage, allowing for independent scalability and the efficient handling of billions of files. By providing a POSIX-compliant interface, it enables applications to interact with a unified namespace while maintaining the performance characteristics of a distributed object store.

The system distinguishes itself through a multi-region data fabric that supports active-active replication across geographically distributed clusters, ensuring high availability and disaster recovery. It employs a direct-access data path that allows clients to communicate with volume servers without involving the master server, maximizing throughput. Furthermore, the platform integrates erasure coding for fault tolerance and automated tiered storage lifecycle policies to optimize data placement based on access frequency.

Beyond its core storage capabilities, the project functions as a cloud-native orchestrator for data lakes and content delivery infrastructure. It supports multi-cloud synchronization and provides secure administrative access through standard authentication protocols. The software is available as binary or container images for deployment across heterogeneous infrastructure.

Features

Object Storage - Stores and retrieves massive amounts of unstructured data across multiple servers with high performance.

Distributed Object Stores - Manages billions of files by decoupling metadata management from raw data storage nodes.

High-Performance File Systems - Provides low-latency access to large datasets across distributed clusters and cloud environments.

Data Fabrics - Maintains consistent data states across geographically distributed clusters for disaster recovery.

POSIX-Compliant File Systems - Maps hierarchical file paths and directory structures onto a high-performance underlying object store.

Replication Strategies - Synchronizes data changes across multiple clusters in real time to provide high availability and disaster recovery.

Storage Orchestrators - Automates data placement and replication across heterogeneous infrastructure for containerized workloads.

File Management - Listed in the “File Management” section of the Awesome Selfhosted awesome list.

Object Storage - Distributed file system optimized for small files.

Object Storage Servers - Distributed file system optimized for small files.

Storage Solutions - Fast distributed storage system for files and data lakes.

Data Lakes - Manages large-scale analytical datasets in a unified storage layer for modern data processing.

Enterprise Data Lakes - Consolidates unstructured data into a single namespace for efficient processing and archival.

Fault Tolerance Mechanisms - Splits data into fragments and parity blocks across physical nodes to ensure high availability and fault tolerance.

Data Synchronization - Replicates and moves data between different cloud providers or on-premises environments.

File System Interfaces - Provides a POSIX-compliant interface by mapping file paths and directory structures to an underlying object store.

Data Access Protocols - Enables clients to communicate directly with volume servers to maximize throughput and scalability.

Storage Lifecycle Management - Moves data between different storage media types based on access frequency to optimize cost and performance.

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Features

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