seaweedfs open source analysis
SeaweedFS is a fast distributed storage system for blobs, objects, files, and data lake, for billions of files! Blob store has O(1) disk seek, cloud tiering. Filer supports Cloud Drive, xDC replication, Kubernetes, POSIX FUSE mount, S3 API, S3 Gateway, Hadoop, WebDAV, encryption, Erasure Coding. Enterprise version is at seaweedfs.com.
Project overview
⭐ 27683 · Go · Last activity on GitHub: 2025-11-30
Why it matters for engineering teams
SeaweedFS addresses the challenge of managing vast amounts of unstructured data by providing a fast, distributed storage system that supports blobs, objects, and files at scale. It is particularly suited for engineering teams focused on building reliable, scalable storage solutions that require efficient disk access and cloud tiering. The project is mature and proven in production environments, offering features like POSIX compliance, S3 compatibility, and erasure coding for data protection. However, it may not be the best fit for teams seeking a fully managed service or those with simpler storage needs, as its self hosted option requires operational expertise to maintain and optimise.
When to use this project
SeaweedFS is a strong choice when you need a production ready solution for handling billions of files with low latency and flexible deployment options. Teams should consider alternatives if they prefer fully managed cloud storage or do not require the complexity of a distributed file system.
Team fit and typical use cases
This open source tool for engineering teams is ideal for backend engineers and infrastructure teams responsible for storage architecture in data-intensive applications. They typically use SeaweedFS to build scalable object storage, cloud drives, or data lakes integrated with Kubernetes or Hadoop ecosystems. It frequently appears in products requiring high-performance, distributed storage with support for S3 APIs and POSIX file systems.
Topics and ecosystem
Activity and freshness
Latest commit on GitHub: 2025-11-30. Activity data is based on repeated RepoPi snapshots of the GitHub repository. It gives a quick, factual view of how alive the project is.