#2424th of 102 in Backends, databases and hosting
seaweedfs
Distributed object store and file system with S3 API and Iceberg catalog
- Stars
- 36k
- License
- Apache-2.0
- Last commit
- Nov 2026
- Last release
- Nov 2026
- Language
- Go
31,384 on 21 Apr 202636,023 on 10 Nov 2026
From GitHub's daily star counts.
Checked on GitHub.
Overview
SeaweedFS is a Go distributed storage system built from master, volume and filer servers. It stores billions of files as blobs in append-only volumes with one disk read per blob, and exposes them through an S3 gateway, FUSE mount, WebDAV, SFTP and HDFS. It also includes an Iceberg REST catalog, S3 Tables, and S3 Vectors backed by a separate vector engine.
Who it is for: Self-hosters and platform teams needing S3-compatible storage at scale
Strengths
- Master is not in the read path; 16-byte in-memory index per blob, one seek per read
- `weed mini` starts S3, filer, WebDAV, Iceberg catalog and Admin UI in one process
- Filer metadata can live in PostgreSQL, MySQL, Redis, Cassandra, TiKV, etcd and others
- Replication, erasure coding, cloud tiering and cross-cluster replication are built in
Weaknesses
- Multi-component architecture (master, volume, filer, S3) is more to operate than a single-node store
- Vector search needs a separate Rust weed-vector binary; the default installer omits it
- Rebalancing does not run automatically; it is triggered from weed shell or the maintenance worker
- Storage infrastructure, not an AI app starter; AI relevance is limited to S3 Vectors
What it needs
- no GPU
- Docker + Compose
- Needs Optional filer metadata store (PostgreSQL, MySQL, Redis, etc.), weed-vector binary for S3 Vectors
- port 8333
Quick answers
Is seaweedfs open source?
Yes. Its code is on GitHub under the Apache-2.0 license.
Can you run seaweedfs with Docker?
Yes. Its repository has a Docker setup: a Dockerfile, a Compose file or a published image.
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