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Business Intelligence · head to head

Cube vs Looker

Cube logo

Cube

Business Intelligence

AI-native analytics platform with semantic layer and governed access

From
Free
Rated
-
Looker logo

Looker

Spreadsheets

Modern business intelligence platform by Google

From
On request
Rated
-

The short version

  • Only Cube has a free tier, so it costs nothing to try first.
  • Each has a real cost: Cube per-developer licensing can be expensive for large analytics teams; Looker no pricing published on website; quote-based model requires contacting Google Cloud sales
  • They diverge on capability: Cube covers Analytics Chat, Looker covers LookML Data Modeling.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which Cube and Looker actually diverge.

Attributes where Cube and Looker differ
AttributeCubeLooker
Starting priceFreeOn request
Pricing modelPer-developer seats with volume pricingUnknown
Free tierYesNo
PlatformsCloud, Self-hostedWeb, Cloud (Google Cloud Platform)
CategoryBusiness IntelligenceSpreadsheets
FoundedUnknown2008

Identical on both: 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 Cube

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

Only in Looker

  • LookML Data Modeling
  • API Access
  • Version Control
  • Data Actions
  • BigQuery
  • Snowflake
  • Redshift
  • PostgreSQL

Both cover

  • Embedded Analytics

What people use each for

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

Cube

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

Looker

  • Business intelligence and interactive dashboards for data-driven decision makingnot Cube
  • Embedded analytics for integrating BI capabilities into third-party applicationsnot Cube

Where each one falls short

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

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

Looker

  • No pricing published on website; quote-based model requires contacting Google Cloud sales
  • Pricing typically based on user count, deployment type, and feature requirements with no transparency

Pricing, plan by plan

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

Looker

On request

No published plan breakdown. See the Looker review.

Which should you pick?

Choose Cube if

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

Choose Looker if

  • You need lookml data modeling.
  • You work on Web, Cloud (Google Cloud Platform).
  • You also want api access.

Questions people ask

Is Cube or Looker better?
Neither clearly leads. Cube starts at Free and Looker at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Cube or Looker?
Cube has a free tier; the other does not. Paid plans start at Free for Cube and On request for Looker.
Does Cube or Looker run on more platforms?
Cube runs on Cloud, Self-hosted. Looker runs on Web, Cloud (Google Cloud Platform).
Can I use Cube for free?
Yes. Cube has a free tier, so you can try it without paying. Looker starts at On request.
What is Cube best used for?
Cube is most often used for building governed semantic data models for analytics, embedding analytics into customer-facing products, enabling natural language data queries for teams, creating conversational dashboards with ai assistance. Of those, building governed semantic data models for analytics and embedding analytics into customer-facing products are not what Looker is typically brought in for.
What can Cube do that Looker cannot?
Cube covers Analytics Chat, Workbooks, Dashboards, AI Integrations. Looker covers LookML Data Modeling, API Access, Version Control, Data Actions. Both handle Embedded Analytics.

Answered from the vendors’ own pages

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
Looker: How much does Looker cost?

Looker does not publish pricing on its website. The platform uses a custom quote model where organizations contact Google Cloud sales for personalized pricing. Pricing is typically based on factors including user count, deployment type (cloud-hosted versus self-hosted), and required feature set.

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
Looker: What are Looker's pricing tiers?

Looker offers subscription-based tiers typically including Standard with core BI capabilities, Advanced with enhanced features and integrations, and Premium with enterprise-grade features. Specific pricing and feature distinctions require contacting Google Cloud sales.

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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