File Storage · head to head
Ceph vs Storj
Ceph
File Storage
Open source distributed storage providing object, block and file from one cluster
- From
- Free
- Rated
- -
Storj
File Storage
S3-compatible object storage distributed in encrypted pieces across independently operated nodes
- From
- Free
- Rated
- -
The short version
- Each has a real cost: Ceph ceph assumes an operator who understands placement groups, CRUSH rules and recovery tuning, so organisations without dedicated storage staff routinely end up with a cluster that works until the first failure and then does not.; Storj billing includes a per segment charge and every object consumes at least one segment, so a bucket holding millions of small files can cost several times what the four dollar per terabyte headline implies.
- They diverge on capability: Ceph covers RADOS object store, Storj covers Erasure coded distribution.
- Prices and features above were last checked on 31 August 2026.
Where they differ
Only the attributes on which Ceph and Storj actually diverge.
Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated), category (File Storage).
What each one covers
Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.
Only in Ceph
- RADOS object store
- RADOS Gateway
- RBD block devices
- CephFS
- CRUSH placement
- Erasure coded pools
Only in Storj
- Erasure coded distribution
- Client side encryption
- S3-compatible gateway
- Native uplink access
- Object Lock and versioning
- Storj Select
What people use each for
The jobs each tool is most often brought in to do.
Ceph
- Backing a private cloud where virtual machine disks, shared filesystems and an S3 endpoint all need the same hardwarenot Storj
- Growing past the point where a proprietary array upgrade costs more than a rack of commodity serversnot Storj
- Research and media environments with petabytes of data and staff who can operate storagenot Storj
- Providing an S3 endpoint on premises with multi site replication under your own controlnot Storj
Storj
- An offsite backup or archive target where the data is large, written once and occasionally restorednot Ceph
- Serving large media files internationally without paying hyperscaler egress ratesnot Ceph
- Storing data where the objection to AWS, Azure or Google is jurisdiction and concentration rather than costnot Ceph
- A second, independent copy of a dataset that already lives in a hyperscaler bucketnot Ceph
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Ceph
- Ceph assumes an operator who understands placement groups, CRUSH rules and recovery tuning, so organisations without dedicated storage staff routinely end up with a cluster that works until the first failure and then does not.
- Small clusters are inefficient: three way replication means a third of raw capacity is usable, and erasure coding needs enough failure domains to be safe, so the economics only work above a certain size.
- Recovery and rebalancing generate heavy internal traffic, so a failed disk can degrade client latency across the cluster unless backfill is throttled correctly beforehand.
- Upgrades must follow a strict daemon order across monitors, managers, OSDs and gateways, and a mistake in that order on a live cluster is difficult to reverse.
- Because it is self hosted, every byte served to the internet is transit you pay for on your own links, so the free licence does not mean free egress and bandwidth planning becomes your problem rather than the providers.
Storj
- Billing includes a per segment charge and every object consumes at least one segment, so a bucket holding millions of small files can cost several times what the four dollar per terabyte headline implies.
- Reconstructing an object requires responses from dozens of independent nodes, so time to first byte is noticeably higher than a centralised bucket and it is a poor fit behind a latency sensitive read path.
- Performance depends on the mix of node operators serving you at that moment rather than on a datacentre you can raise a ticket against, so slow reads are diagnosed statistically rather than fixed.
- The hosted S3 gateway terminates encryption on Storj infrastructure, so using the convenient access path gives up the end to end encryption that is the main architectural argument for the service.
- The S3 gateway is compatible rather than identical, so tools that lean on less common API calls, multipart edge cases or unusual header behaviour need testing before you commit a workload to it.
Pricing, plan by plan
Ceph
Free- CephFree
- Full functionality, no capacity limit
- Object, block and file interfaces
- Community support via mailing list and Slack
Storj
Free- Free trialFree
- 25 GB stored
- 25 GB egress per month
- No card required to start
- Storj$4/month
- 4 USD per terabyte stored per month
- 7 USD per terabyte of egress
- Per segment fee on top of stored volume
Which should you pick?
Choose Ceph if
- You need rados object store.
- You want to start without paying.
- You work on Linux.
- You also want rados gateway.
Choose Storj if
- You need erasure coded distribution.
- You want to start without paying.
- You work on Web, API, Linux, macOS, Windows.
- You also want client side encryption.
Questions people ask
- Is Ceph or Storj better?
- Neither clearly leads. Ceph starts at Free and Storj at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Ceph or Storj?
- Ceph starts at Free and Storj at Free.
- Does Ceph or Storj run on more platforms?
- Ceph runs on Linux. Storj runs on Web, API, Linux, macOS, Windows.
- Can I use Ceph for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is Ceph best used for?
- Ceph is most often used for backing a private cloud where virtual machine disks, shared filesystems and an s3 endpoint all need the same hardware, growing past the point where a proprietary array upgrade costs more than a rack of commodity servers, research and media environments with petabytes of data and staff who can operate storage, providing an s3 endpoint on premises with multi site replication under your own control. Of those, backing a private cloud where virtual machine disks, shared filesystems and an s3 endpoint all need the same hardware and growing past the point where a proprietary array upgrade costs more than a rack of commodity servers are not what Storj is typically brought in for.
- What can Ceph do that Storj cannot?
- Ceph covers RADOS object store, RADOS Gateway, RBD block devices, CephFS. Storj covers Erasure coded distribution, Client side encryption, S3-compatible gateway, Native uplink access.
Answered from the vendors’ own pages
Ceph: How many nodes do I need to start?
Three is the practical minimum for a replicated cluster with real fault tolerance, and most production advice starts at five once you account for maintenance windows.
Storj: Why is my bill higher than four dollars per terabyte?
Almost always the per segment fee. Objects are split into segments and small files each consume one, so a few million tiny objects generate a segment charge that dwarfs the storage line.
Ceph: Is it faster than a SAN?
Not on single stream latency. It wins on aggregate throughput and on growing without a forklift upgrade, which is a different property from raw speed.
Storj: Can node operators read my data?
No. Files are encrypted client side and each operator holds only an erasure coded fragment, which is not a readable portion of the file.
Ceph: Can I buy support?
Yes. IBM sells IBM Storage Ceph and SUSE and others have offered supported builds; the upstream project itself is free.
Storj: Is there a minimum retention period?
No. You are billed for what you store while you store it, unlike several competitors that bill a ninety day minimum whatever you delete.
Ceph: Should I use it just for S3?
If object is all you need, a dedicated object store is simpler to run. Ceph earns its complexity when you need block and file as well.
Storj: Is it fast enough to serve a website from?
For large files with parallel reads, yes. For many small objects where time to first byte matters, put a CDN in front of it or use something centralised.
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