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Spreadsheets · head to head

Apache Superset vs Cube

Apache Superset logo

Apache Superset

Spreadsheets

Modern data exploration and visualization platform

From
Free
Rated
-
Cube logo

Cube

Business Intelligence

AI-native analytics platform with semantic layer and governed access

From
Free
Rated
-

The short version

  • Each has a real cost: Apache Superset no commercial pricing; open-source project; Cube per-developer licensing can be expensive for large analytics teams
  • They diverge on capability: Apache Superset covers 40+ Visualizations, Cube covers Analytics Chat.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which Apache Superset and Cube actually diverge.

Attributes where Apache Superset and Cube differ
AttributeApache SupersetCube
Pricing modelopen-sourcePer-developer seats with volume pricing
PlatformsWeb, Self-hosted, DockerCloud, Self-hosted
CategorySpreadsheetsBusiness Intelligence
Founded1999Unknown

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 Cube

  • Analytics Chat
  • Workbooks
  • Dashboards
  • Embedded Analytics
  • AI Integrations
  • Core Data APIs
  • Caching and pre-aggregations

What people use each for

The jobs each tool is most often brought in to do.

Apache Superset

  • Self-service analyticsnot Cube
  • Data explorationnot Cube
  • Ad-hoc reportingnot Cube
  • Collaborative analysisnot Cube
  • Embedded analyticsnot Cube

Cube

  • Building governed semantic data models for analyticsnot Apache Superset
  • Embedding analytics into customer-facing productsnot Apache Superset
  • Enabling natural language data queries for teamsnot Apache Superset
  • Creating conversational dashboards with AI assistancenot 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)

Cube

  • Per-developer licensing can be expensive for large analytics teams
  • Additional cost for Explorer and Viewer roles beyond developers
  • Semantic layer approach requires upfront modeling investment
  • Smaller connector ecosystem than dedicated BI platforms
  • May be overengineered for simple reporting needs

Pricing, plan by plan

Apache Superset

Free
  • Open SourceFree
    • Full Features
    • Self-hosted
    • Community Support

Cube

Free
  • FreeFree
    • For hobbyists and personal projects
    • Basic data source connection
    • Semantic modeling
  • Starter$40/developer/month
    • Extended agent limits
    • Premium LLMs
    • Unlimited workbooks
  • Premium$80/developer/month
    • All Starter features
    • Embedded dashboards
    • Embedded analytics chat
  • Enterprise$null/custom
    • 99.990% uptime SLA
    • Dedicated single-tenant installation
    • Bring Your Own Cloud

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 Cube if

  • You need analytics chat.
  • You want to start without paying.
  • You work on Cloud, Self-hosted.
  • You also want workbooks.

Questions people ask

Is Apache Superset or Cube better?
Neither clearly leads. Apache Superset starts at Free and Cube at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Apache Superset or Cube?
Apache Superset starts at Free and Cube at Free.
Does Apache Superset or Cube run on more platforms?
Apache Superset runs on Web, Self-hosted, Docker. Cube runs on Cloud, Self-hosted.
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 Cube is typically brought in for.
What can Apache Superset do that Cube cannot?
Apache Superset covers 40+ Visualizations, SQL IDE, Semantic Layer, Caching. Cube covers Analytics Chat, Workbooks, Dashboards, Embedded Analytics.

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.

Source
Cube: What is the cost per developer on Cube?

Starter plan costs $40/developer/month. Premium adds embedded analytics at $80/developer/month. Explorer and Viewer roles cost $40 and $20/month respectively.

Source
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.

Source
Cube: What uptime SLAs does Cube offer?

Premium plan offers 99.950% uptime SLA. Enterprise plan provides 99.990% uptime SLA with dedicated support.

Source
Cube: Can I use Cube for free?

Yes, the Free plan includes basic data source connection, semantic modeling, workbooks, and dashboards for hobbyists and personal projects.

Source
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