Open Source Storage
The word storage covers jobs that have almost nothing in common: a network share for a household, a distributed object store sitting behind an application, an encrypted vault synced to a cloud drive, and a nightly backup of all of it. Choosing well starts with naming which of those you actually need, because a tool that is excellent at one is usually awkward at another. Open source changes both the economics and the ownership here. Capacity becomes a hardware decision you make once instead of a metered bill with egress fees, your files stay reachable through standard protocols rather than a proprietary client, and encryption you can inspect means the service holding your data never has to be trusted on faith.
SeaweedFS
Distributed storage for object storage, file systems, and Iceberg tables with horizontal scaling
Dragonfly
In-memory data store compatible with Redis and Memcached APIs, built for modern application workloads
RustFS
Distributed object storage in Rust with S3 compatibility and OpenStack Swift support
Verdaccio
Zero-config local private npm registry with proxy caching for npmjs.org and other registries
Ceph
Scalable distributed storage system for object, block, and file data
Cryptomator
Client-side cloud encryption that keeps files private before they reach Dropbox, Google Drive, OneDrive, and more
Duplicati
Free, open-source backup client for encrypted, incremental cloud backups
JuiceFS
Distributed POSIX file system for cloud storage and metadata separation
Rook
Cloud-native storage orchestrator for Kubernetes with Ceph automation and lifecycle management
Our picks
Storage is several jobs at once, so these are strong starting points in four different corners of it.
Multi-protocol storage at scale: Ceph One cluster of commodity servers serves object, block, and file storage at once, replacing separate systems for each. Data spreads across nodes with replication or erasure coding for redundancy, and is reachable over an S3-compatible API, iSCSI and NVMe over Fabrics, and POSIX, NFS, and SMB. It integrates with Kubernetes for large, mixed workloads.
Lightweight self-hosted object store: Garage An S3-compatible object store built for self-hosting at small-to-medium scale, so existing S3 tools work against it with a changed endpoint. It targets clusters whose nodes sit in different physical locations, replicating across sites and staying available when some servers are unreachable. It stays deliberately lightweight, under the AGPLv3.
Home and small-office NAS: OpenMediaVault A Debian-based NAS that puts storage administration behind a web interface, so services like SSH, SFTP, SMB/CIFS, and rsync are set up without deep Linux knowledge. A plugin framework adds more. It runs as the main OS on its machine rather than inside a container.
Encryption for cloud storage: Cryptomator Client-side encryption for files kept in the cloud: data is sealed on your device before it syncs, so the provider stores only ciphertext. It works with Dropbox, Google Drive, OneDrive, Nextcloud, and other services that sync a local folder, using AES with a 256-bit key. File names are encrypted and the folder structure obfuscated.
Matching a storage tool to the job it has to do
The most common mistake is treating this list as one shelf. A NAS distribution like OpenMediaVault or TrueNAS gives a home or small office shared folders over SMB and NFS with a web admin, and expects to own the whole machine. A distributed object store like Ceph, SeaweedFS, or Garage instead speaks the S3 API to applications and spreads data across nodes for durability. Those are different problems, and a system strong at one rarely feels natural at the other, so decide whether you are serving people browsing files or applications reading blobs before you compare anything else.
Once the access pattern is clear, look at how the system is allowed to fail and who has to operate it. Replication is simple to reason about and quick to repair but costs raw capacity; erasure coding, used by the larger object stores, saves disk while making rebuilds and degraded reads heavier. For clustered options, the honest question is not whether one drive can die but whether the cluster keeps serving during a node loss or a long rebuild. If you would rather not run Ceph directly, Rook drives it as a Kubernetes operator and Harvester folds distributed storage into a virtualization platform, so the operating burden shifts rather than disappears.
Finally, remember that keeping bytes is not the same as protecting them. Encryption tools such as Cryptomator and gocryptfs seal files before they ever reach a cloud, and backup systems like Duplicati, Bareos, and BackupPC exist precisely because replication copies a deletion or a ransomware hit to every replica instantly. Whatever you pick, confirm the data can leave through a standard protocol, so a later migration is a copy rather than a rescue.
Related categories
Frequently asked questions
Do I need object, block, or file storage?+
Match it to how the data is used. File storage suits shared directories and human-browsable paths, so a NAS like TrueNAS or OpenMediaVault fits offices and media libraries. Block storage backs virtual machines and databases that want their own volume. Object storage suits large blobs reached through an API, which is what Ceph, SeaweedFS, and Garage serve over S3. Test the exact path your application uses rather than trusting one system to be equally good at all three.
What is the difference between replication and erasure coding?+
Both protect against lost disks, but they trade off differently. Replication keeps full copies, so it is simple to reason about and fast to repair, at the cost of raw capacity. Erasure coding splits data into fragments with parity, using disks more efficiently but making rebuilds and degraded reads heavier on CPU and network. Larger object stores such as Ceph and SeaweedFS support both, so you can replicate hot data and erasure-code colder data.
Can these object stores replace Amazon S3 for my applications?+
For most S3 client code, yes. Garage, SeaweedFS, RustFS, Ceph, and Apache Ozone all expose an S3-compatible API, so existing tools and SDKs read and write against them with just a changed endpoint. Compatibility is rarely total, though, so test the specific operations your app relies on, such as multipart uploads, versioning, or bucket replication. RustFS supports versioning and bucket replication, and Garage targets small self-hosted clusters that stay available across locations.
Is replication the same as a backup?+
No, and treating it as one is a common mistake. Replication protects availability by keeping live copies, but it faithfully copies a deletion, corruption, or ransomware hit to every replica within seconds. A real backup is a separate, ideally immutable point-in-time copy you can restore without the original cluster. Dedicated tools like Duplicati, Bareos, and BackupPC do exactly this, with encrypted, incremental copies to disk, tape, or remote storage. Test full restores regularly.
Which of these tools actually encrypt my files?+
Several, but at different layers. Cryptomator, CryFS, and gocryptfs encrypt files on your device before they ever reach a cloud drive, so the provider stores only ciphertext. zuluCrypt manages encrypted block devices and volumes on Linux. Backup tools like Duplicati encrypt data before upload with AES-256 or GPG. Distributed systems such as JuiceFS and Apache Ozone add encryption in transit and at rest inside the cluster. Pick the layer that matches where you distrust the storage.
Do I need a dedicated machine, or can storage run alongside other services?+
It depends on the tool. NAS distributions expect to own the whole box: OpenMediaVault runs as the main operating system and cannot run in a container, and Rockstor ships as a complete Linux distribution. Distributed stores and filesystems are more flexible; SeaweedFS, Garage, and JuiceFS run as services or containers next to other workloads, and Rook runs Ceph inside Kubernetes alongside the apps that consume it.
Should I self-host storage or use a managed cloud service?+
Self-hosting makes sense when you need predictable large-scale capacity, local performance, specific protocols, or data that cannot sit with a third party. It turns storage into a hardware decision rather than a metered bill with egress fees. The honest cost is operational: disks, power, spare capacity, monitoring, and tested backups all become your job. For a small team with modest needs, a managed service can be cheaper once staff time is counted.