StarRocksvs
ClickHouse
ClickHouse: ClickHouse if your workload is single-table aggregation over logs or events and you want the larger ecosystem.
StarRocks
Apache 2.0 MPP analytical database built for joins on open table formats
As of 31 August 2026, StarRocks is free to use. A columnar analytical database, forked from Apache Doris in 2020 and donated to the Linux Foundation, that is unusually good at joins against Iceberg and Hudi tables you do not own. Softwr lists it under Databases. StarRocks is made by CelerData (Linux Foundation project), available on Linux, Docker, Kubernetes.
Overview
What StarRocks does
StarRocks is a massively parallel analytical database with a vectorised execution engine, a cost-based optimiser and materialised views. It runs in two modes: a shared-nothing mode where data lives in its own format on local disks, and a shared-data mode where storage sits in object storage and compute nodes are stateless. It also queries external tables in Iceberg, Hudi, Delta Lake, Hive and Paimon directly, with a data cache to keep repeat queries fast. The distinguishing engineering choice, and the reason it is on shortlists against ClickHouse, is that StarRocks was designed around joins rather than around denormalised single tables. ClickHouse is fastest when you flatten your data into one wide table; StarRocks keeps a star schema and joins at query time with a real cost-based optimiser. For teams whose data model is dimensional and whose data lives in an open table format someone else writes, that difference decides the project. It also supports primary key tables with real upserts and deletes, which ClickHouse handles awkwardly. The governance detail worth knowing: StarRocks began as a commercial fork of Apache Doris by a company then called StarRocks Inc, now CelerData, which contributed the project to the Linux Foundation in 2023 under Apache 2.0. CelerData remains the dominant contributor and sells the managed cloud service, so the licence is genuinely permissive but the roadmap is effectively one vendor’s. Self-hosting is real work: frontend and backend node roles, tablet balancing, and materialised view refresh strategy are all things an operator has to learn.
What people use it for
- Customer-facing analytics where queries join a fact table to several dimensions and must return in well under a second
- Querying an Iceberg lakehouse directly without copying data into a proprietary warehouse format
- Replacing a ClickHouse deployment that has become unmanageable because every new question needs another denormalised table
- Real-time analytics fed by change data capture where rows must be updated in place rather than appended
Related searches
The honest half
Where it falls short
Concrete and checkable, so you can decide whether any of them matter to you. This is the half of a review a vendor will not write about 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.
Cross-shopped
What people choose instead of StarRocks
Each pairing was judged by two reviewers asking whether a buyer would genuinely weigh the two against each other. The ones that failed were deleted rather than published.
- StarRocksvsApache Druid
Apache Druid: Apache Druid for very high ingest-rate time series with sub-second slice and dice on pre-aggregated data.
- StarRocksvsTrino
Trino: Trino if you need federated querying across many systems more than you need a fast storage engine of your own.
Pricing
What StarRocks costs
Taken from the vendor's own pricing page. Prices move, so check before you buy.
StarRocks
Free
- Apache 2.0 licence
- Linux Foundation governance
- No usage or node limits
- Community support
- You operate and pay for the infrastructure
CelerData Cloud
On request
- Managed StarRocks from the primary contributor
- BYOC and serverless deployment options
- Enterprise support and SLAs
- Pricing on application
Capabilities
Features
Cost-based optimiser
Real join reordering rather than requiring denormalised wide tables
Lakehouse query engine
Direct queries against Iceberg, Hudi, Delta Lake, Hive and Paimon with local caching
Primary key tables
Genuine upserts and deletes for change-data-capture ingestion
Materialised views
Automatically rewritten queries, including views over external lake tables
Shared-data mode
Object storage backing with stateless compute nodes for elastic scaling
MySQL wire protocol
Existing MySQL clients and BI tools connect without a bespoke driver
Answered, with sources
Questions people ask
Each answer names the page it came from, so you can check it rather than take our word for it.
Is StarRocks open source?
Yes, Apache 2.0, governed under the Linux Foundation since 2023.
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.
Who maintains it?
CelerData, formerly StarRocks Inc, is the dominant contributor and sells the managed service.
Can it query Iceberg tables directly?
Yes, along with Hudi, Delta Lake, Hive and Paimon, with a local cache for repeat queries.
Keep looking
Where to go from StarRocks
- StarRocks alternativesEvery product people weigh against it
- StarRocks pricingPlans, floors and what the tiers exclude
- StarRocks badgesWhich rules it meets, and the figure behind each
- All Databases softwareThe full category
- Best Databases softwareThe shortlist, and how it was cut
Best Databases software for
Compare StarRocks with
- ClickHouse
- Apache Druid
- Presto
- DuckDB
- Dremio
- Aiven
- Typesense
- VerneMQ
- PostgreSQL
- RabbitMQ
- Vitess
- BigQuery
- CosmosDB
- DataStax
- dbt
- Apache Doris
- Aiven
- Apache Kafka
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Softwr does not host reviews and shows no star rating for StarRocks, because a rating we did not collect is not ours to publish. What is here is the pricing and platform detail from the vendor’s own pages, limitations we could state concretely, and alternatives a reviewer confirmed people weigh against it. Tell us if any of it is wrong.
More on StarRocks
StarRocks alternatives
What people switch to, and what they give up
StarRocks pricing
Every tier, and where the cost actually lands
Compare StarRocks
Put it head to head with anything we hold
StarRocks badge
Its rating, and an embed for your own site
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