Cloud · head to head
OpenEBS vs StarRocks

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: OpenEBS there is no vendor on the other end of an incident unless you separately contract DataCore, so an outage at three in the morning is resolved by your own team and a public Slack channel.; 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: OpenEBS covers Replicated engine, StarRocks covers Cost-based optimiser.
- Prices and features above were last checked on 1 September 2026.
Where they differ
Only the attributes on which OpenEBS 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 OpenEBS
- Replicated engine
- Local PV engines
- Kubernetes-native management
- Snapshots and clones
- No licence fee
- Hardware independence
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.
OpenEBS
- Running Cassandra or Kafka on Kubernetes where the application already replicates and node-local volumes are sufficientnot StarRocks
- A platform team that needs persistent volumes on bare metal Kubernetes without a per node subscriptionnot StarRocks
- An edge or lab deployment where a commercial storage licence cannot be justifiednot StarRocks
- Replacing hostpath volumes with something that has snapshots and a Container Storage Interface drivernot StarRocks
StarRocks
- Customer-facing analytics where queries join a fact table to several dimensions and must return in well under a secondnot OpenEBS
- Querying an Iceberg lakehouse directly without copying data into a proprietary warehouse formatnot OpenEBS
- Replacing a ClickHouse deployment that has become unmanageable because every new question needs another denormalised tablenot OpenEBS
- Real-time analytics fed by change data capture where rows must be updated in place rather than appendednot OpenEBS
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
OpenEBS
- There is no vendor on the other end of an incident unless you separately contract DataCore, so an outage at three in the morning is resolved by your own team and a public Slack channel.
- The project has several storage engines with different maturity and different operational characteristics, and choosing the wrong one for your workload produces poor results that look like a product failure.
- Documentation and upgrade guidance assume real Kubernetes storage knowledge, so teams without that expertise underestimate the operational load they are taking on.
- Project governance shifted after DataCore acquired MayaData in 2021, which means the direction of a supposedly neutral project is influenced by one commercial sponsor.
- Disaster recovery, cross-cluster replication and policy-driven data services are thinner than in the commercial alternatives, so organisations with those requirements end up building them or buying a product anyway.
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
OpenEBS
Free- OpenEBSFree
- Apache 2.0 licensed
- All storage engines included
- No node or capacity limits
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 OpenEBS if
- You need replicated engine.
- You want to start without paying.
- You work on Linux.
- You also want local pv engines.
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 OpenEBS or StarRocks better?
- Neither clearly leads. OpenEBS 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, OpenEBS or StarRocks?
- OpenEBS starts at Free and StarRocks at Free.
- Does OpenEBS or StarRocks run on more platforms?
- OpenEBS runs on Linux. StarRocks runs on Linux, Docker, Kubernetes.
- Can I use OpenEBS for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is OpenEBS best used for?
- OpenEBS is most often used for running cassandra or kafka on kubernetes where the application already replicates and node-local volumes are sufficient, a platform team that needs persistent volumes on bare metal kubernetes without a per node subscription, an edge or lab deployment where a commercial storage licence cannot be justified, replacing hostpath volumes with something that has snapshots and a container storage interface driver. Of those, running cassandra or kafka on kubernetes where the application already replicates and node-local volumes are sufficient and a platform team that needs persistent volumes on bare metal kubernetes without a per node subscription are not what StarRocks is typically brought in for.
- What can OpenEBS do that StarRocks cannot?
- OpenEBS covers Replicated engine, Local PV engines, Kubernetes-native management, Snapshots and clones. StarRocks covers Cost-based optimiser, Lakehouse query engine, Primary key tables, Materialised views.
Answered from the vendors’ own pages
OpenEBS: Who supports it in production?
The project is community supported. Commercial support is available from DataCore, which acquired the original sponsor MayaData in 2021. Establish that relationship before production, not during an incident.
StarRocks: Is StarRocks open source?
Yes, Apache 2.0, governed under the Linux Foundation since 2023.
OpenEBS: Which engine should we use?
If your application replicates its own data, use a Local engine and avoid replicating twice. If it does not, such as with PostgreSQL, use the Replicated engine.
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.
OpenEBS: Does it cost anything?
No licence fee. The cost is operational, and a support contract if you want someone accountable.
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 Rook
- StarRocks vs containerd
- StarRocks vs minikube
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- StarRocks vs Typesense
- StarRocks vs VerneMQ
- StarRocks vs PostgreSQL
- StarRocks vs RabbitMQ
- StarRocks vs Vitess
- StarRocks vs BigQuery
- StarRocks vs CosmosDB
- StarRocks vs DataStax
- StarRocks vs dbt
- StarRocks vs Apache Doris
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