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Cloud · head to head

Rook vs Zipkin

Rook logo

Rook

Cloud

Kubernetes operator that deploys and manages Ceph storage clusters

From
Free
Rated
-
Zipkin logo

Zipkin

Cloud

Distributed tracing system for microservice latency

From
Free
Rated
-

The short version

  • Each has a real cost: Rook rook automates Ceph but does not abstract it, so an incident still demands Ceph expertise, and organisations without it end up hiring consultants at exactly the wrong moment.; Zipkin less active development and smaller community momentum than Jaeger
  • They diverge on capability: Rook covers Ceph operator, Zipkin covers Trace collection and search.
  • Prices and features above were last checked on 1 September 2026.

Where they differ

Only the attributes on which Rook and Zipkin actually diverge.

Attributes where Rook and Zipkin differ
AttributeRookZipkin
PlatformsLinux, KubernetesLinux, Docker, Kubernetes, Self-hosted

Identical on both: starting price (Free), pricing model (Open source, no licence fee), free tier (Yes), user rating (Not yet rated), category (Cloud).

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 Rook

  • Ceph operator
  • Block, file and object
  • Erasure coding
  • CSI driver
  • Automated upgrades
  • Multi-cluster mirroring

Only in Zipkin

  • Trace collection and search
  • Dependency diagram
  • Simple deployment
  • Pluggable storage

What people use each for

The jobs each tool is most often brought in to do.

Rook

  • An on-premises Kubernetes platform needing block, shared filesystem and S3 storage without buying three productsnot Zipkin
  • A team that already runs Ceph and wants its lifecycle managed declaratively inside Kubernetesnot Zipkin
  • A large cluster where three-way replication overhead is unaffordable and erasure coding is requirednot Zipkin
  • An organisation building a private cloud that cannot use managed cloud storage services for residency reasonsnot Zipkin

Zipkin

  • Adding distributed tracing quickly without standing up heavy infrastructurenot Rook
  • Java and Spring Boot estates, where instrumentation support is long-establishednot Rook
  • Small deployments where Jaeger is more than the problem requiresnot Rook

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

Rook

  • Rook automates Ceph but does not abstract it, so an incident still demands Ceph expertise, and organisations without it end up hiring consultants at exactly the wrong moment.
  • There is no vendor and no SLA; the realistic commercial support routes are IBM Red Hat OpenShift Data Foundation or an independent Ceph consultancy, both of which change the cost picture entirely.
  • Ceph is resource hungry, needing substantial memory and dedicated disks per OSD, so the hardware cost of a properly sized cluster is often underestimated.
  • Recovery and rebalancing after a disk or node failure generates heavy background input and output that can degrade application performance for hours, which surprises teams sizing for steady state.
  • Minimum viable clusters require several nodes with several disks each, so it is impractical at small scale and the entry hardware cost exceeds simpler alternatives.

Zipkin

  • Less active development and smaller community momentum than Jaeger
  • Fewer features: sampling, storage options and UI are all more limited
  • The interface is dated and slower to work with on large trace volumes
  • Tracing alone still leaves metrics and logs in separate tools during an incident

Pricing, plan by plan

Rook

Free
  • RookFree
    • Apache 2.0 licensed, no licence fee
    • Graduated CNCF project
    • Community support via GitHub and Slack only

Zipkin

Free
  • ZipkinFree
    • Full functionality
    • No usage limits
    • Community support

Which should you pick?

Choose Rook if

  • You need ceph operator.
  • You want to start without paying.
  • You work on Linux, Kubernetes.
  • You also want block, file and object.

Choose Zipkin if

  • You need trace collection and search.
  • You want to start without paying.
  • You work on Linux, Docker, Kubernetes, Self-hosted.
  • You also want dependency diagram.

Questions people ask

Is Rook or Zipkin better?
Neither clearly leads. Rook starts at Free and Zipkin at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Rook or Zipkin?
Rook starts at Free and Zipkin at Free.
Does Rook or Zipkin run on more platforms?
Rook runs on Linux, Kubernetes. Zipkin runs on Linux, Docker, Kubernetes, Self-hosted.
Can I use Rook for free?
Both have a free tier, so you can try either at no cost before committing.
What is Rook best used for?
Rook is most often used for an on-premises kubernetes platform needing block, shared filesystem and s3 storage without buying three products, a team that already runs ceph and wants its lifecycle managed declaratively inside kubernetes, a large cluster where three-way replication overhead is unaffordable and erasure coding is required, an organisation building a private cloud that cannot use managed cloud storage services for residency reasons. Of those, an on-premises kubernetes platform needing block, shared filesystem and s3 storage without buying three products and a team that already runs ceph and wants its lifecycle managed declaratively inside kubernetes are not what Zipkin is typically brought in for.
What can Rook do that Zipkin cannot?
Rook covers Ceph operator, Block, file and object, Erasure coding, CSI driver. Zipkin covers Trace collection and search, Dependency diagram, Simple deployment, Pluggable storage.

Answered from the vendors’ own pages

Rook: Who supports it in production?

Nobody by default. IBM sells Red Hat OpenShift Data Foundation, which is supported Rook and Ceph, and independent consultancies sell Ceph support. Decide this before deployment.

Zipkin: Is Zipkin free?

Yes, open source with no licence fee.

Rook: Does it need Ceph knowledge?

Yes. Rook handles deployment and routine operations, but troubleshooting a degraded cluster is a Ceph skill and there is no way around it.

Zipkin: Zipkin or Jaeger?

Jaeger has more momentum, more features and CNCF backing. Zipkin is lighter and quicker to stand up, and remains well supported in the Java and Spring ecosystem.

Rook: Can it replace an object storage appliance?

Functionally yes, through the RADOS gateway, but you take on the operations that an appliance vendor would otherwise carry.

Zipkin: Does Zipkin work with OpenTelemetry?

Yes. OpenTelemetry can export to Zipkin, which is now the usual way to instrument for it.

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