
Cube
by Cube · Semantic layer behind BI, AI chat and embedded customer analytics
65.7 — BenchRank score out of 100
Screenshots of Cube
Homepage Pricing page
Overview
Cube is an analytics platform built on a semantic layer: you connect data sources, define metrics once in a semantic modelling IDE, then query them through Analytics Chat, workbooks and dashboards. The same model backs multi-tenant analytics embedded in your own product, via iframes, an Analytics Chat API with MCP, or core data APIs.
- Best for
- Data teams wanting one governed metric definition behind BI, AI chat and customer-facing analytics
- Pricing
- Free forever tier, then $40 per developer/month (Starter) or $80 per developer/month (Premium), with Enterprise on custom pricing and compute billed hourly from $0.15.
Strengths and trade-offs
Strengths
- One semantic model shared by chat, workbooks and dashboards
- Free forever tier covering data sources, modelling and workbooks
- Embedded analytics is multi-tenant and takes your branding
- Analytics Chat API is agent-to-agent capable via MCP
Trade-offs
- Free tier caps you at 5 workbooks and 1,000 requests a day
- Compute such as dedicated deployment is billed hourly on top of seats
- Embedded chat and dashboards need the $80/developer Premium plan
- SSO, BYOC and audit logging are Enterprise-only, on custom pricing
Pricing
Published plans from Cube’s own pricing page, in USD. Usage charges and add-ons may apply on top.
| Plan | Monthly | Includes |
|---|---|---|
| Free | Freeper developer |
|
| Starter | $40per developer |
|
| Premium | $80per developer |
|
| Enterprise | Contact sales |
|
How this score is made up
Each dimension is scored out of 100 and combined into the headline score using fixed weights.
- MCP support
- 60 out of 100
- API quality
- 30 out of 100
- Documentation
- 85 out of 100
- Agent friendliness
- 78 out of 100
- Pricing transparency
- 85 out of 100
- Changelog
- 100 out of 100
- Marketing site structure
- 50 out of 100
- Operational trust
- 50 out of 100
Measured, but not part of the score
Useful to know, but not a mark for or against the product — so these do not affect the ranking.
- Openness
- 30 out of 100
- Maintenance
- 100 out of 100
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