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Spreadsheets · head to head

Redash vs StarRocks

Redash logo

Redash

Spreadsheets

Connect and visualize your data

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: Redash pricing model not disclosed on dedicated pricing page; 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: Redash covers SQL Query Editor, StarRocks covers Cost-based optimiser.
  • Prices and features above were last checked on 31 August 2026.

Where they differ

Only the attributes on which Redash and StarRocks actually diverge.

Attributes where Redash and StarRocks differ
AttributeRedashStarRocks
Pricing modelfreemiumOpen source, no licence fee
PlatformsWeb, Self-hosted, CloudLinux, Docker, Kubernetes
CategorySpreadsheetsDatabases
Founded2013Unknown

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 Redash

  • SQL Query Editor
  • Multiple Data Sources
  • Visualizations
  • Dashboards
  • Alerts
  • PostgreSQL
  • MySQL
  • BigQuery

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.

Redash

  • Data visualization and business intelligence for analyticsnot StarRocks
  • Query result sharing and collaborative dashboard creationnot StarRocks

StarRocks

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

Where each one falls short

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

Redash

  • Pricing model not disclosed on dedicated pricing page
  • Open-source offering may require self-hosting technical expertise
  • Managed hosting or commercial support pricing not published

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

Redash

Free
  • Open SourceFree
    • Full Features
    • Self-hosted
    • Community Support
  • Cloud$49/month
    • Managed Hosting
    • Automatic Updates
    • 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 Redash if

  • You need sql query editor.
  • You want to start without paying.
  • You work on Web, Self-hosted, Cloud.
  • You also want multiple data sources.

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 Redash or StarRocks better?
Neither clearly leads. Redash 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, Redash or StarRocks?
Redash starts at Free and StarRocks at Free.
Does Redash or StarRocks run on more platforms?
Redash runs on Web, Self-hosted, Cloud. StarRocks runs on Linux, Docker, Kubernetes.
Can I use Redash for free?
Both have a free tier, so you can try either at no cost before committing.
What is Redash best used for?
Redash is most often used for data visualization and business intelligence for analytics, query result sharing and collaborative dashboard creation. Of those, data visualization and business intelligence for analytics and query result sharing and collaborative dashboard creation are not what StarRocks is typically brought in for.
What can Redash do that StarRocks cannot?
Redash covers SQL Query Editor, Multiple Data Sources, Visualizations, Dashboards. StarRocks covers Cost-based optimiser, Lakehouse query engine, Primary key tables, Materialised views.

Answered from the vendors’ own pages

Redash: What is Redash's pricing?

Redash is a popular open-source project with no pricing tiers listed on the pricing page. The project emphasizes no vendor lock-in and community contribution. Paid managed hosting or commercial support options may be available but are not published on this page.

Source
StarRocks: Is StarRocks open source?

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

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.

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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