Free
Free
- 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
- MCP server for AI agents
Overview
Cube functions as an agentic analytics platform built on a semantic layer, offering AI-native business intelligence and embedded analytics capabilities. It establishes a unified semantic model to ensure data definitions remain consistent and governed across all applications and user interfaces. This architecture allows AI agents to access reliable business data through APIs and the Multi-tenant, Governed, Semantic Layer (MCP).
Key Use Cases:
AI-Powered Embedded Analytics
Developers can integrate custom AI analytics experiences directly into their products. This is achieved through the Analytics Chat API, embedded iframes, or a Creator Mode that allows customers to build their own workbooks and dashboards within the application.
Governed AI-Native BI for Data Teams
The platform enables natural-language analytics, allowing users to query data in plain English. Cube's Analytics Chat translates these questions into queries against the semantic model, ensuring accurate, consistent, and governed answers. It also supports AI-augmented analyst exploration through workbooks that combine SQL, a visual editor, and a Workbook Agent for query drafting.
AI-Augmented Visual Reporting
Users can build dashboards conversationally with the Dashboard Agent. The platform ensures sub-second performance through pre-aggregation and caching, with all charts resolving against the consistent semantic definitions. Cube integrates with various tools, including Claude, ChatGPT, Cursor, and Slack, via its MCP server, facilitating data interaction where teams already work.
Key features
- Agentic AI Business Intelligence
- Semantic Layer for data consistency
- Embedded Analytics capabilities
- Natural-language analytics chat
- AI-augmented analyst workbooks
- AI-augmented visual reporting dashboards
- Multi-tenant architecture
- Caching and query performance
Who uses it
Modern data teams, data teams, analysts, software engineers, and customer success managers.
Pros
- Provides a consistent semantic layer for data governance.
- Enables AI agents to access reliable business data.
- Offers flexible options for embedding analytics (APIs, iframes, Creator Mode).
- Supports natural-language analytics and AI-augmented exploration/reporting.
- Integrates with popular LLMs and tools, available as cloud and self-hosted solutions.
Cons
- The 'Standard' cloud plan is relatively expensive for smaller teams ($499/month).
- Requires technical expertise to implement and manage the semantic layer effectively.
- Enterprise features and support require contacting sales, lacking transparent pricing.
- The complexity of setting up a robust semantic model might have a learning curve.
Summary
Cube provides a robust platform for building and embedding AI-powered analytics, ensuring data consistency through its semantic layer. It is particularly useful for organizations looking to integrate governed business intelligence directly into their products or empower AI agents with reliable data access.
Pricing plans
Starter
$40/month
- Everything in Free, plus:
- Extended limits on agents
- Use premium LLMs
- Unlimited workbooks
- Extended query limit
- Production deployment compute
- Cube Store caching
- Semantic Layer Sync
- Observability & high-availability
Premium
$80/month
- Everything in Starter, plus:
- Explorer role
- Viewer role
- Embedded dashboards
- Embedded analytics chat
- Unlimited queries
- 99.950% Uptime SLA
- Custom Domains
- Multi-cluster Deployment
- Performance Insights
Enterprise
Custom
- Everything in Premium, plus:
- 99.990% Uptime SLA
- Dedicated single tenant installation
- Bring Your Own Cloud (BYOC)
- Bring Your Own LLM (BYOLLM)
- SSO with SAML 2.0
- Workspace Access Control
Pricing details are provided for reference and may differ from the vendor's current plans.
Website Analytics
Traffic and engagement estimates for Cube. Updated Nov 5, 2026.
Monthly visits
117.8K
Estimated monthly website traffic
Growth
-10.5K
Month-over-month change
Growth rate
-8.2%
Relative monthly change
Bounce rate
41.2%
Estimated bounce rate
Visit history
Engagement
- Avg visit duration
- 56m 12s
- Pages per visit
- 2.2
Traffic sources
- Direct41.2%
- Search Organic40.7%
- Referrals12.0%
- Social Organic3.2%
- Gen Ai2.8%
- Mail0.1%
Top countries
- United States of America22.6%
- India12.0%
- Germany7.0%
- Viet Nam6.0%
- United Kingdom of Great Britain and Northern Ireland3.9%
Figures are third-party estimates and may differ from actual site analytics.
Comments
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