Cloud · head to head
Longhorn vs Zipkin
Longhorn
Cloud
Open source distributed block storage for Kubernetes, incubating at the CNCF
- From
- Free
- Rated
- -
The short version
- Each has a real cost: Longhorn there is no vendor and no SLA, so a production incident at three in the morning is your own problem unless you buy SUSE Rancher Prime support separately.; Zipkin less active development and smaller community momentum than Jaeger
- They diverge on capability: Longhorn covers Per-volume controllers, 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 Longhorn and Zipkin actually diverge.
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 Longhorn
- Per-volume controllers
- Synchronous replication
- Snapshots and backups
- Volume expansion
- Disaster recovery volumes
- Web interface
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.
Longhorn
- An on-premises Kubernetes cluster with local disks and no SAN that needs replicated persistent volumesnot Zipkin
- Edge sites where shipping a storage array is impractical and three nodes is the whole clusternot Zipkin
- A K3s deployment where the storage layer must be light enough to run alongside the workloadsnot Zipkin
- A team that wants snapshots and S3 backups of persistent volumes without paying per-node storage licencesnot Zipkin
Zipkin
- Adding distributed tracing quickly without standing up heavy infrastructurenot Longhorn
- Java and Spring Boot estates, where instrumentation support is long-establishednot Longhorn
- Small deployments where Jaeger is more than the problem requiresnot Longhorn
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Longhorn
- There is no vendor and no SLA, so a production incident at three in the morning is your own problem unless you buy SUSE Rancher Prime support separately.
- Synchronous replication across nodes means write latency depends on the slowest replica and the network between nodes, which makes it a poor fit for latency-sensitive databases.
- Every replica is a full copy, so three-way replication consumes three times the raw capacity, unlike erasure-coded systems that are far more space efficient.
- It is designed for block storage on modest clusters and does not scale to the node counts or throughput that Ceph or a commercial array handles, so growth eventually forces a migration.
- Recovery from certain degraded states, such as a volume stuck detaching or replicas failing to rebuild, requires manual intervention and knowledge of Longhorn internals that is not widely held.
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
Longhorn
Free- LonghornFree
- Apache 2.0 licensed, no licence fee
- Community support via GitHub and Slack only
- No vendor SLA or escalation path
Zipkin
Free- ZipkinFree
- Full functionality
- No usage limits
- Community support
Which should you pick?
Choose Longhorn if
- You need per-volume controllers.
- You want to start without paying.
- You work on Linux, Kubernetes.
- You also want synchronous replication.
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 Longhorn or Zipkin better?
- Neither clearly leads. Longhorn 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, Longhorn or Zipkin?
- Longhorn starts at Free and Zipkin at Free.
- Does Longhorn or Zipkin run on more platforms?
- Longhorn runs on Linux, Kubernetes. Zipkin runs on Linux, Docker, Kubernetes, Self-hosted.
- Can I use Longhorn for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is Longhorn best used for?
- Longhorn is most often used for an on-premises kubernetes cluster with local disks and no san that needs replicated persistent volumes, edge sites where shipping a storage array is impractical and three nodes is the whole cluster, a k3s deployment where the storage layer must be light enough to run alongside the workloads, a team that wants snapshots and s3 backups of persistent volumes without paying per-node storage licences. Of those, an on-premises kubernetes cluster with local disks and no san that needs replicated persistent volumes and edge sites where shipping a storage array is impractical and three nodes is the whole cluster are not what Zipkin is typically brought in for.
- What can Longhorn do that Zipkin cannot?
- Longhorn covers Per-volume controllers, Synchronous replication, Snapshots and backups, Volume expansion. Zipkin covers Trace collection and search, Dependency diagram, Simple deployment, Pluggable storage.
Answered from the vendors’ own pages
Longhorn: Who do we call when it breaks?
Nobody, unless you buy SUSE Rancher Prime, which includes commercial support for Longhorn. This is the decisive question for production use.
Zipkin: Is Zipkin free?
Yes, open source with no licence fee.
Longhorn: How much capacity does replication cost?
Full copies, so three replicas means three times the raw capacity. Budget accordingly rather than assuming erasure coding efficiency.
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.
Longhorn: Is it suitable for production databases?
For modest workloads yes, but synchronous replication adds write latency and high-transaction databases usually want something faster.
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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