Cube
Cube is an agentic analytics platform that provides a universal semantic layer for data, making it ready for both AI and Business Intelligence applications.
Our verdict
Who it's for
The universal semantic layer for AI- and BI-ready data with agentic analytics.
Who should look elsewhere
Pricing is per developer, which might scale for larger teams.
Pros
- +Ensures consistent metric definitions across all tools, reducing discrepancies.
- +Speeds up data model deployment and reduces analytics downtime.
- +Enhances AI capabilities by providing a contextual semantic layer for LLMs.
- +Offers robust features for embedded and real-time analytics.
- +Provides high availability and performance insights for production environments.
Cons
- −Pricing is per developer, which might scale for larger teams.
- −Advanced enterprise features like BYOC and BYOLLM are only available on the custom plan.
Key features
- ✓Connect any data source
- ✓Model in semantic layer IDE
- ✓Explore data in workbooks
- ✓Publish workbooks as dashboards
- ✓Semantic model agent
- ✓Workbooks and dashboards agent
- ✓Analytics chat
- ✓Cube Store caching
Pricing
| Plan | Price | Billing | Notes |
|---|---|---|---|
| Free | — | month | Connect any data source; Model in semantic layer IDE; Explore data in workbooks |
| Starter | $40 | month | Everything in Free; Extended limits on agents; Use premium LLMs |
| Premium | $80 | month | Everything in Starter; Explorer role; Embedded dashboards |
| Enterprise | — | month | Everything in Premium; 99.990% Uptime SLA; Dedicated single tenant installation |
Integrations
SlackGitHub