Spreadsheets · head to head
Apache Superset vs StarRocks

Apache Superset
Spreadsheets
Modern data exploration and visualization platform
- 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: Apache Superset no commercial pricing; open-source project; 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: Apache Superset covers 40+ Visualizations, StarRocks covers Cost-based optimiser.
- Prices and features above were last checked on 31 August 2026.
Where they differ
Only the attributes on which Apache Superset and StarRocks actually diverge.
| Attribute | Apache Superset | StarRocks |
|---|---|---|
| Pricing model | open-source | Open source, no licence fee |
| Platforms | Web, Self-hosted, Docker | Linux, Docker, Kubernetes |
| Category | Spreadsheets | Databases |
| Founded | 1999 | Unknown |
Identical on both: starting price (Free), 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 Apache Superset
- 40+ Visualizations
- SQL IDE
- Semantic Layer
- Caching
- Security
- PostgreSQL
- MySQL
- Presto
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.
Apache Superset
- Self-service analyticsnot StarRocks
- Data explorationnot StarRocks
- Ad-hoc reportingnot StarRocks
- Collaborative analysisnot StarRocks
- Embedded analyticsnot StarRocks
StarRocks
- Customer-facing analytics where queries join a fact table to several dimensions and must return in well under a secondnot Apache Superset
- Querying an Iceberg lakehouse directly without copying data into a proprietary warehouse formatnot Apache Superset
- Replacing a ClickHouse deployment that has become unmanageable because every new question needs another denormalised tablenot Apache Superset
- Real-time analytics fed by change data capture where rows must be updated in place rather than appendednot Apache Superset
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Apache Superset
- No commercial pricing; open-source project
- Commercial hosting available via Preset.io (separate vendor)
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
Apache Superset
Free- Open SourceFree
- Full Features
- Self-hosted
- Community Support
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 Apache Superset if
- You need 40+ visualizations.
- You want to start without paying.
- You work on Web, Self-hosted, Docker.
- You also want sql ide.
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 Apache Superset or StarRocks better?
- Neither clearly leads. Apache Superset 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, Apache Superset or StarRocks?
- Apache Superset starts at Free and StarRocks at Free.
- Does Apache Superset or StarRocks run on more platforms?
- Apache Superset runs on Web, Self-hosted, Docker. StarRocks runs on Linux, Docker, Kubernetes.
- Can I use Apache Superset for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is Apache Superset best used for?
- Apache Superset is most often used for self-service analytics, data exploration, ad-hoc reporting, collaborative analysis. Of those, self-service analytics and data exploration are not what StarRocks is typically brought in for.
- What can Apache Superset do that StarRocks cannot?
- Apache Superset covers 40+ Visualizations, SQL IDE, Semantic Layer, Caching. StarRocks covers Cost-based optimiser, Lakehouse query engine, Primary key tables, Materialised views.
Answered from the vendors’ own pages
Apache Superset: What does Apache Superset cost?
Apache Superset is open-source software available free under the Apache 2.0 license. There are no licensing costs, subscription fees, or per-seat charges for using Superset itself.
SourceStarRocks: Is StarRocks open source?
Yes, Apache 2.0, governed under the Linux Foundation since 2023.
Apache Superset: Is there a paid version of Apache Superset?
Apache Superset itself is free and open-source. Preset.io offers commercial Superset hosting with premium support, but this is a separate vendor service, not an official paid tier of Superset.
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.
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.
Related pages
More on Apache Superset
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- StarRocks vs Redash
- StarRocks vs Equals
- StarRocks vs Sigma Computing
- StarRocks vs Fibery
- StarRocks vs Baserow
- StarRocks vs NocoDB
- StarRocks vs Budibase
- StarRocks vs Google Sheets
- StarRocks vs Numbers
- StarRocks vs SeaTable
- StarRocks vs Teable
- StarRocks vs APITable
- StarRocks vs Coefficient
- StarRocks vs Cube Software
- StarRocks vs ClickHouse
- StarRocks vs Apache Druid
- StarRocks vs Presto
- StarRocks vs DuckDB
- StarRocks vs Dremio
- StarRocks vs Aiven
- 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
- StarRocks vs Apache Kafka
