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Spreadsheets · head to head

Baserow vs StarRocks

Baserow logo

Baserow

Spreadsheets

Open-source no-code database platform

From
Free
Rated
-
StarRocks logo

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: Baserow the free tier is capped at 3,000 rows and 2GB of storage per workspace; 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: Baserow covers Database tables, StarRocks covers Cost-based optimiser.
  • Prices and features above were last checked on 31 August 2026.

Where they differ

Only the attributes on which Baserow and StarRocks actually diverge.

Attributes where Baserow and StarRocks differ
AttributeBaserowStarRocks
Pricing modelfreemiumOpen source, no licence fee
PlatformsWeb, Api, Self-hostedLinux, Docker, Kubernetes
CategorySpreadsheetsDatabases
Founded2019Unknown

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 Baserow

  • Database tables
  • Multiple views
  • Forms
  • API access
  • Real-time collaboration
  • Templates
  • Plugins
  • Self-hosting

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.

Baserow

  • Self-hosting an open source alternative to a spreadsheet databasenot StarRocks
  • Structured team data with Kanban, calendar and grid viewsnot StarRocks
  • Building internal tools on top of a database with an APInot StarRocks
  • Sharing data with external app users without giving them full seatsnot StarRocks

StarRocks

  • Customer-facing analytics where queries join a fact table to several dimensions and must return in well under a secondnot Baserow
  • Querying an Iceberg lakehouse directly without copying data into a proprietary warehouse formatnot Baserow
  • Replacing a ClickHouse deployment that has become unmanageable because every new question needs another denormalised tablenot Baserow
  • Real-time analytics fed by change data capture where rows must be updated in place rather than appendednot Baserow

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

Baserow

  • The free tier is capped at 3,000 rows and 2GB of storage per workspace
  • Kanban, calendar and survey views need Premium at $10 per user per month billed yearly
  • Role-based permissions, audit logs and SSO require Premium or higher
  • Row limits are per workspace rather than per table, so splitting data across bases does not raise the ceiling
  • Automation runs are metered as credits, 2,000 a month on free

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

Baserow

Free
  • FreeFree
    • 3000 rows per workspace
    • 2 GB storage per workspace
    • 2000 automation credits monthly
  • Premium$10/month
    • 50000 rows per workspace
    • 20 GB storage per workspace
    • 100000 automation credits monthly
  • Advanced$18/month
    • 250000 rows per workspace
    • 100 GB storage per workspace
    • 500000 automation credits monthly
  • Enterprise$null/month
    • 1000000 rows per workspace
    • 1000 GB storage per workspace
    • 2000000 automation credits monthly

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 Baserow if

  • You need database tables.
  • You want to start without paying.
  • You work on Web, Api, Self-hosted.
  • You also want multiple views.

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 Baserow or StarRocks better?
Neither clearly leads. Baserow 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, Baserow or StarRocks?
Baserow starts at Free and StarRocks at Free.
Does Baserow or StarRocks run on more platforms?
Baserow runs on Web, Api, Self-hosted. StarRocks runs on Linux, Docker, Kubernetes.
Can I use Baserow for free?
Both have a free tier, so you can try either at no cost before committing.
What is Baserow best used for?
Baserow is most often used for self-hosting an open source alternative to a spreadsheet database, structured team data with kanban, calendar and grid views, building internal tools on top of a database with an api, sharing data with external app users without giving them full seats. Of those, self-hosting an open source alternative to a spreadsheet database and structured team data with kanban, calendar and grid views are not what StarRocks is typically brought in for.
What can Baserow do that StarRocks cannot?
Baserow covers Database tables, Multiple views, Forms, API access. StarRocks covers Cost-based optimiser, Lakehouse query engine, Primary key tables, Materialised views.

Answered from the vendors’ own pages

Baserow: Does Baserow have a free plan?

Baserow's Free plan includes 3000 rows per workspace, 2 GB storage, 2000 automation credits monthly, and access to Grid, Form, and Gallery views. It supports up to 500 external app users and includes 65+ templates with no credit card required.

Source
StarRocks: Is StarRocks open source?

Yes, Apache 2.0, governed under the Linux Foundation since 2023.

Baserow: What row and storage limits does Baserow provide by plan?

Free plan: 3000 rows and 2 GB storage; Premium plan: 50000 rows and 20 GB; Advanced plan: 250000 rows and 100 GB; Enterprise plan: 1000000 rows and 1 TB. All limits are per workspace.

Source
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.

Baserow: How much does Baserow Premium cost?

Baserow Premium costs $10 per user per month when billed annually, or $12 per month when billing monthly. Yearly billing provides better rates than monthly. Advanced plan costs $18/user/month annually or $22/month monthly.

Source
StarRocks: Who maintains it?

CelerData, formerly StarRocks Inc, is the dominant contributor and sells the managed service.

Baserow: What are automation credit limits in Baserow?

Free plan provides 2000 monthly automation credits, Premium provides 100000 monthly credits, Advanced provides 500000 monthly credits, and Enterprise provides 2000000 monthly credits for workflow automation.

Source
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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