kitio.aiCube vs Databrain
A side-by-side look at pricing plans, free tiers, features, pros and cons, updated for 2026. Cube has the lower starting price: about $40 a month, against $999 for Databrain.
At a glance
Best for
Category
Pricing model
Starting price
Free plan
Made by
Based in
Rating
Key features
- Semantic layer modeling
- Analytics chat
- MCP server for agents
- Embedded dashboards
- Cube Store caching
- Workbooks
- Embeddable dashboards
- Natural-language queries
- Multi-tenancy
- White-label theming
- 40+ chart types
- MCP server
| Feature | Cube | Databrain |
|---|---|---|
| Best for | Semantic layer and agentic BI for teams, agents and embedded analytics | Embedded analytics for SaaS apps with natural-language queries |
| Category | Data & analytics | Data & analytics |
| Pricing model | Freemium | Free trial |
| Starting price | $40/mo | $999/mo |
| Free plan | Yes | No, 14-day trial |
| Made by | Cube Dev | Databrain |
| Based in | United States | – |
| Rating | No ratings yet | No ratings yet |
| Key features |
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Pricing compared
Cube has the lower starting price: about $40 a month, against $999 for Databrain.
Free plan
Cheapest paid plan
Top plan
Free trial
4 plans
Free
Free
- Connect any data source
- Semantic layer IDE
- Analytics chat
- MCP server
Starter
$40/mo
- Per user
- Premium LLMs
- Unlimited workbooks
- Semantic Layer Sync
Premium
$80/mo
- Per user
- Explorer and viewer roles
- Embedded dashboards
Enterprise
Custom
- Audit logging
- VPC peering and PrivateLink
- Custom roles
3 plans
Growth
$999/mo
- Multi-tenancy
- Unlimited seats and embeds
- 1 data source
- Chat and email support
Pro
$1995/mo
- Unlimited data sources
- SSO
- Roles and permissions
- Everything in Growth
Enterprise
Contact sales
- Self-hosted option
- Multi-region deployment
Prices in USD, checked Oct 29, 2026 or later. Plans change often, so confirm on each tool's site before you buy.
Pros and cons
Cube
- One metric definition for people and agents
- Free plan includes the MCP server
- Works with major cloud warehouses
- Requires data modeling work up front
- Embedded dashboards need Premium
- Dedicated compute costs extra per hour
Databrain
- Flat pricing, not per end customer
- Several embed options including SDKs
- Tenant-scoped MCP for AI agents
- Starts at $999 a month
- Growth plan allows one data source
- Meant for SaaS products, not solo analysts
Which one should you choose?
Choose Cube if you want:
- One metric definition for people and agents
- Free plan includes the MCP server
- Works with major cloud warehouses
Watch out: requires data modeling work up front.
Choose Databrain if you want:
- Flat pricing, not per end customer
- Several embed options including SDKs
- Tenant-scoped MCP for AI agents
Watch out: starts at $999 a month.
Cube vs Databrain FAQ
What is the difference between Cube and Databrain?
Cube: Semantic layer and agentic BI for teams, agents and embedded analytics. Databrain: Embedded analytics for SaaS apps with natural-language queries. Both are data & analytics tools.
Is Cube or Databrain cheaper?
Cube has the lower starting price: about $40 a month, against $999 for Databrain.
Do Cube and Databrain have free plans?
Cube: Yes. Databrain: No, 14-day trial.
Who makes Cube?
Cube is made by Cube Dev, based in United States.
Who makes Databrain?
Databrain is made by Databrain.
Which should I choose, Cube or Databrain?
Choose Cube if you value one metric definition for people and agents and free plan includes the mcp server. Choose Databrain if you value flat pricing, not per end customer and several embed options including sdks.