Head to head
Cube vs Select Star for AI agents
Short answer
On our default weights Cube scores 5.86 and Select Star scores 5.77. Cube scores higher on Agent access, Semantics, Pricing and Deployment; Select Star scores higher on Lineage, Automation and Governance. They tie on Answer checks and Integrations.
By The Lineage Desk · Best Data Catalogs · Published
Desk research from public vendor pages. Editorial assessment.
Cube rank 7 of 9
Select Star rank 8 of 9
How do Cube and Select Star compare on each criterion?
| Criterion | Weight | Cube | Select Star | Higher score |
|---|---|---|---|---|
| Agent access to context | 15% | 8 | 7 | Cube |
| Cross-stack lineage | 13% | 2 | 8 | Select Star |
| Automated context build | 13% | 5 | 8 | Select Star |
| Governance agents can use | 13% | 5 | 6 | Select Star |
| Business definitions and metrics | 12% | 9 | 6 | Cube |
| Answer quality checks | 8% | 2 | 2 | Tie |
| Integration breadth | 10% | 5 | 5 | Tie |
| Pricing transparency | 8% | 9 | 2 | Cube |
| Deployment options | 8% | 8 | 4 | Cube |
Why: Agent access to context
Cube: Governed data reaches agents through MCP and APIs; the free plan includes an MCP server.
Source: Cube pricing
Select Star: Offers an MCP Server for Data and Ask AI; agent clients are not named.
Source: Select Star homepage
Why: Cross-stack lineage
Cube: A semantic layer and BI platform, not a catalog; cross-stack lineage is not described.
Source: Cube homepage
Select Star: Cross-platform column-level lineage with ER diagrams.
Source: Select Star homepage
Why: Automated context build
Cube: A semantic model agent is listed; automated discovery and documentation across the stack are not described.
Source: Cube pricing
Select Star: Auto-generated documentation and semantic model generation; a customer quote describes setup in one morning.
Source: Select Star homepage
Why: Governance agents can use
Cube: Describes governed data for agents; certification and sensitivity rules are not detailed.
Source: Cube homepage
Select Star: Data Access Control and SOC 2; certification rules for agents are not described.
Source: Select Star homepage
Why: Business definitions and metrics
Cube: Built on a semantic layer that people and agents query alike.
Source: Cube homepage
Select Star: Generates semantic models for Snowflake Cortex Analyst; no broader metric layer described.
Source: Select Star homepage
Why: Answer quality checks
Cube: Checks on agent answers are not described on the pages read.
Source: Cube homepage
Select Star: Checks on agent answers are not described on the pages read.
Source: Select Star homepage
Why: Integration breadth
Cube: Works on cloud data platforms and names agent clients; no connector count was read.
Source: Cube homepage
Select Star: Lineage is cross-platform, but no connector count or list was read.
Source: Select Star homepage
Why: Pricing transparency
Cube: Published: Free, Starter $40 and Premium $80 per developer per month, Enterprise custom.
Source: Cube pricing
Select Star: The pricing URL redirects to the homepage; no prices.
Source: Select Star pricing URL
Why: Deployment options
Cube: Open-source core (21,018 GitHub stars shown on cube.dev) alongside managed Cube Cloud.
Source: Cube homepage
Select Star: SaaS, now part of Snowflake; plans outside Snowflake are not stated.
Source: Select Star homepage
Which hops from warehouse to agent does each document?
Cube: documents 4 of 5 stages
Select Star: documents 3 of 5 stages
How do pricing and deployment compare?
| Cube | Select Star | |
|---|---|---|
| Type | Semantic layer (agentic analytics) | Metadata context platform (part of Snowflake) |
| Agent interface | MCP server, APIs, Analytics Chat API | MCP Server for Data, Ask AI |
| Lineage | Not described (a semantic layer, not a catalog) | Column level, across platforms |
| Deployment | Cube Core is open source (cube.dev shows 21,018 GitHub stars); Cube Cloud is the managed platform. | SaaS; now part of Snowflake. Plans outside Snowflake are not stated. |
| Pricing | Free ("free forever", includes an MCP server for AI agents, analytics chat and a semantic model agent); Starter $40 per developer per month; Premium $80 per developer per month; Enterprise custom. Source: Cube pricing | Not published The pricing URL redirects to the homepage. Source: Select Star pricing URL |
| Entry price | Free; paid plans from $40 per developer per month | Not published |
Which should you choose?
Choose Cube if
- consistent metric definitions are the main gap
- you want published prices before talking to sales
- Teams whose main gap is consistent metrics for agents and BI, and who want published pricing and an open-source core
Choose Select Star if
- you need lineage from the warehouse through BI to the agent
- you want context built with little manual work
- Snowflake-centric teams that want automated documentation and column-level lineage
Frequently asked questions
Which is better for AI agents, Cube or Select Star?
On our default weights Cube scores 5.86 and Select Star scores 5.77. The better fit depends on which criteria matter most to you; the weight-your-own page lets you change the weights.
Which costs less, Cube or Select Star?
Cube: Free ("free forever", includes an MCP server for AI agents, analytics chat and a semantic model agent); Starter $40 per developer per month; Premium $80 per developer per month; Enterprise custom. Select Star: no prices published. We do not compare total cost because most of these prices are not published.
Can Cube and Select Star be used together?
They cover different layers (Semantic layer and Catalog and governance), so they can sit side by side. The pages we read do not describe a direct integration between them.