Cloud · head to head
Longhorn vs StarRocks

Longhorn
Cloud
Open source distributed block storage for Kubernetes, incubating at the CNCF
- From
- Free
- Rated
- -

StarRocks
Databases
Apache 2.0 MPP analytical database built for joins on open table formats
- 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.; StarRocks self-hosting is a genuine operations job: frontend and backend node roles, tablet distribution, compaction and materialised view refresh all need an owner, and there is no small-team-friendly single-binary mode.
- They diverge on capability: Longhorn covers Per-volume controllers, StarRocks covers Cost-based optimiser.
- Prices and features above were last checked on 1 September 2026.
Where they differ
Only the attributes on which Longhorn and StarRocks actually diverge.
Identical on both: starting price (Free), pricing model (Open source, no licence fee), 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 Longhorn
- Per-volume controllers
- Synchronous replication
- Snapshots and backups
- Volume expansion
- Disaster recovery volumes
- Web interface
Only in StarRocks
- Cost-based optimiser
- Lakehouse query engine
- Primary key tables
- Materialised views
- Shared-data mode
- MySQL wire protocol
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 StarRocks
- Edge sites where shipping a storage array is impractical and three nodes is the whole clusternot StarRocks
- A K3s deployment where the storage layer must be light enough to run alongside the workloadsnot StarRocks
- A team that wants snapshots and S3 backups of persistent volumes without paying per-node storage licencesnot StarRocks
StarRocks
- Customer-facing analytics where queries join a fact table to several dimensions and must return in well under a secondnot Longhorn
- Querying an Iceberg lakehouse directly without copying data into a proprietary warehouse formatnot Longhorn
- Replacing a ClickHouse deployment that has become unmanageable because every new question needs another denormalised tablenot Longhorn
- Real-time analytics fed by change data capture where rows must be updated in place rather than appendednot 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.
StarRocks
- Self-hosting is a genuine operations job: frontend and backend node roles, tablet distribution, compaction and materialised view refresh all need an owner, and there is no small-team-friendly single-binary mode.
- CelerData is by far the dominant contributor despite Linux Foundation stewardship, so the practical roadmap risk is the same as any single-vendor open source project.
- It inherits a MySQL-flavoured SQL dialect from its Doris ancestry, so queries written for PostgreSQL, Snowflake or Trino need rewriting rather than porting.
- Ecosystem support is thinner than ClickHouse or Trino: fewer client libraries, fewer managed hosting options and a much smaller pool of engineers who have run it in production.
- Memory pressure under concurrent large joins is a common production failure, and the tuning knobs for query memory limits are unforgiving compared with a cloud warehouse that just scales.
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
StarRocks
Free- StarRocksFree
- Apache 2.0 licence
- Linux Foundation governance
- No usage or node limits
- CelerData Cloud$undefined/year
- Managed StarRocks from the primary contributor
- BYOC and serverless deployment options
- Enterprise support and SLAs
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 StarRocks if
- You need cost-based optimiser.
- You want to start without paying.
- You work on Linux, Docker, Kubernetes.
- You also want lakehouse query engine.
Questions people ask
- Is Longhorn or StarRocks better?
- Neither clearly leads. Longhorn starts at Free and StarRocks at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Longhorn or StarRocks?
- Longhorn starts at Free and StarRocks at Free.
- Does Longhorn or StarRocks run on more platforms?
- Longhorn runs on Linux, Kubernetes. StarRocks runs on Linux, Docker, Kubernetes.
- 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 StarRocks is typically brought in for.
- What can Longhorn do that StarRocks cannot?
- Longhorn covers Per-volume controllers, Synchronous replication, Snapshots and backups, Volume expansion. StarRocks covers Cost-based optimiser, Lakehouse query engine, Primary key tables, Materialised views.
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.
StarRocks: Is StarRocks open source?
Yes, Apache 2.0, governed under the Linux Foundation since 2023.
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.
StarRocks: How does it differ from ClickHouse?
StarRocks is built for joins across a star schema with a cost-based optimiser; ClickHouse is fastest on denormalised single tables.
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.
StarRocks: Who maintains it?
CelerData, formerly StarRocks Inc, is the dominant contributor and sells the managed service.
StarRocks: Can it query Iceberg tables directly?
Yes, along with Hudi, Delta Lake, Hive and Paimon, with a local cache for repeat queries.
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- StarRocks vs Presto
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- StarRocks vs Dremio
- StarRocks vs Aiven
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