File Storage · head to head
Ceph vs Kubeflow
Ceph
File Storage
Open source distributed storage providing object, block and file from one cluster
- 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.; Kubeflow complex installation and configuration requiring Kubernetes expertise, upgrade paths between versions need manual CRD migrations
- They diverge on capability: Ceph covers RADOS object store, Kubeflow covers ML pipelines.
- Prices and features above were last checked on 31 August 2026.
Where they differ
Only the attributes on which Ceph and Kubeflow actually diverge.
Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated).
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 Kubeflow
- ML pipelines
- Training operators
- Model serving
- Jupyter notebooks
- Hyperparameter tuning
- Kubernetes
- TensorFlow
- PyTorch
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 Kubeflow
- Growing past the point where a proprietary array upgrade costs more than a rack of commodity serversnot Kubeflow
- Research and media environments with petabytes of data and staff who can operate storagenot Kubeflow
- Providing an S3 endpoint on premises with multi site replication under your own controlnot Kubeflow
Kubeflow
- Machine learningnot Ceph
- Data analysisnot Ceph
- Model trainingnot Ceph
- Predictive analyticsnot 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.
Kubeflow
- Complex installation and configuration requiring Kubernetes expertise, upgrade paths between versions need manual CRD migrations
- Resource-intensive infrastructure with minimal installs consuming significant CPU and memory
- Limited multi-tenancy support and multi-cloud setup leaves users largely on their own
- No native CI/CD integration, requiring custom glue code for versioning and automated deployments
- Debugging jobs and monitoring workloads often requires dropping down into raw Kubernetes commands
Pricing, plan by plan
Ceph
Free- CephFree
- Full functionality, no capacity limit
- Object, block and file interfaces
- Community support via mailing list and Slack
Kubeflow
FreeNo published plan breakdown. See the Kubeflow review.
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 Kubeflow if
- You need ml pipelines.
- You want to start without paying.
- You work on Kubernetes.
- You also want training operators.
Questions people ask
- Is Ceph or Kubeflow better?
- Neither clearly leads. Ceph starts at Free and Kubeflow at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Ceph or Kubeflow?
- Ceph starts at Free and Kubeflow at Free.
- Does Ceph or Kubeflow run on more platforms?
- Ceph runs on Linux. Kubeflow runs on Kubernetes.
- 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 Kubeflow is typically brought in for.
- What can Ceph do that Kubeflow cannot?
- Ceph covers RADOS object store, RADOS Gateway, RBD block devices, CephFS. Kubeflow covers ML pipelines, Training operators, Model serving, Jupyter notebooks.
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.
Kubeflow: Is Kubeflow free to use?
Yes, Kubeflow is free and open-source under Apache License 2.0. However, you pay for the underlying Kubernetes infrastructure, which typically costs $500 to $5,000 per month depending on scale and cloud provider.
SourceCeph: 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.
Kubeflow: Do I need Kubernetes expertise to use Kubeflow?
Kubeflow requires significant Kubernetes and DevOps expertise. The installation deploys dozens of services and CRDs, often requiring manual configuration and troubleshooting. Data scientists typically need to convert scripts to containerized components.
SourceCeph: Can I buy support?
Yes. IBM sells IBM Storage Ceph and SUSE and others have offered supported builds; the upstream project itself is free.
Kubeflow: What platforms can Kubeflow run on?
Kubeflow runs on any Kubernetes-compliant cluster, including on-premise, AWS, Azure, Google Cloud, and hybrid environments. This multi-cloud portability is one of its key advantages over managed alternatives.
SourceCeph: 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.
Kubeflow: How does Kubeflow compare to managed services like SageMaker?
Kubeflow offers multi-cloud portability and lower long-term costs but requires more operational overhead. SageMaker provides a fully managed experience with better UI and less infrastructure work, but creates vendor lock-in to AWS.
SourceRelated pages
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