Databases · head to head
SingleStore vs StarRocks

SingleStore
Databases
The real-time distributed SQL database for data-intensive applications
- 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: SingleStore high licensing costs that increase with data scale and cluster size; 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: SingleStore covers Real-time Analytics, StarRocks covers Cost-based optimiser.
- Prices and features above were last checked on 31 August 2026.
Where they differ
Only the attributes on which SingleStore and StarRocks actually diverge.
| Attribute | SingleStore | StarRocks |
|---|---|---|
| Pricing model | Unknown | Open source, no licence fee |
| Platforms | Cloud (SingleStoreDB Cloud), Self-Managed | Linux, Docker, Kubernetes |
| Founded | 2011 | Unknown |
Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated), category (Databases).
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 SingleStore
- Real-time Analytics
- Fast Data Ingest
- In-memory Processing
- Distributed Architecture
- MySQL Compatible
- Columnar Storage
- Vector Search
- Kafka
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.
SingleStore
- Transaction processingnot StarRocks
- Data storagenot StarRocks
- Application backendnot StarRocks
- Reportingnot StarRocks
- Data analyticsnot StarRocks
StarRocks
- Customer-facing analytics where queries join a fact table to several dimensions and must return in well under a secondnot SingleStore
- Querying an Iceberg lakehouse directly without copying data into a proprietary warehouse formatnot SingleStore
- Replacing a ClickHouse deployment that has become unmanageable because every new question needs another denormalised tablenot SingleStore
- Real-time analytics fed by change data capture where rows must be updated in place rather than appendednot SingleStore
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
SingleStore
- High licensing costs that increase with data scale and cluster size
- Eventual consistency in replication: secondary replicas may lag during high write loads
- Complex operational setup requiring specialized knowledge for optimization
- Vendor lock-in due to proprietary technology without open-source alternatives
- Disorganized documentation and lack of online training resources
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
SingleStore
Free- Free Tier$0.99/month
- Usage-based pricing
- Limited resources
StarRocks
Free- StarRocksFree
- Apache 2.0 licence
- Linux Foundation governance
- No usage or node limits
- CelerData Cloud$undefined/year
- Managed StarRocks from the primary contributor
- BYOC and serverless deployment options
- Enterprise support and SLAs
Which should you pick?
Choose SingleStore if
- You need real-time analytics.
- You want to start without paying.
- You work on Cloud (SingleStoreDB Cloud), Self-Managed.
- You also want fast data ingest.
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 SingleStore or StarRocks better?
- Neither clearly leads. SingleStore 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, SingleStore or StarRocks?
- SingleStore starts at Free and StarRocks at Free.
- Does SingleStore or StarRocks run on more platforms?
- SingleStore runs on Cloud (SingleStoreDB Cloud), Self-Managed. StarRocks runs on Linux, Docker, Kubernetes.
- Can I use SingleStore for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is SingleStore best used for?
- SingleStore is most often used for transaction processing, data storage, application backend, reporting. Of those, transaction processing and data storage are not what StarRocks is typically brought in for.
- What can SingleStore do that StarRocks cannot?
- SingleStore covers Real-time Analytics, Fast Data Ingest, In-memory Processing, Distributed Architecture. StarRocks covers Cost-based optimiser, Lakehouse query engine, Primary key tables, Materialised views.
Answered from the vendors’ own pages
SingleStore: Does SingleStore offer a free tier?
Yes, SingleStore offers a free tier starting from $0.99/month with usage-based pricing. The free tier allows developers to evaluate the platform with limited resources before scaling to production workloads.
SourceStarRocks: Is StarRocks open source?
Yes, Apache 2.0, governed under the Linux Foundation since 2023.
SingleStore: Can SingleStore handle both transactional and analytical workloads?
Yes, SingleStore is a hybrid transactional/analytical processing (HTAP) database that combines operational (OLTP) and analytical (OLAP) workloads in a single unified engine, eliminating the need for separate systems.
SourceStarRocks: 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.
SingleStore: Does SingleStore integrate with Apache Spark?
Yes, SingleStore provides the Spark Connector 3.0 for bidirectional data integration with Apache Spark. The connector supports SQL, Python, Scala, Java, and R for data loading and extraction.
SourceStarRocks: Who maintains it?
CelerData, formerly StarRocks Inc, is the dominant contributor and sells the managed service.
SingleStore: Can SingleStore ingest data from Kafka?
Yes, SingleStore supports high-throughput streaming ingestion from Apache Kafka and other sources, enabling millions of events per second without requiring ETL pipelines or data movement.
SourceStarRocks: Can it query Iceberg tables directly?
Yes, along with Hudi, Delta Lake, Hive and Paimon, with a local cache for repeat queries.
SingleStore: Is SingleStore available as cloud or self-managed?
SingleStore offers both deployment options: SingleStoreDB Cloud (managed service) and SingleStore Self-Managed for on-premises or private cloud deployments. The managed service handles infrastructure, scaling, and maintenance automatically.
SourceRelated pages
More on SingleStore
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- StarRocks vs RabbitMQ
- StarRocks vs Vitess
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