Cube
UnclaimedThe universal semantic layer for AI- and BI-ready data with agentic analytics.
Visit WebsiteTL;DR - Cube
- Provides a universal semantic layer for consistent data definitions across tools.
- Enables agentic analytics, embedded analytics, and real-time data processing.
- Integrates with AI/LLMs to provide context and enhance analytical capabilities.
Pricing: Free plan available
Best for: Growing teams
4.5/5 across review platforms
Pros & Cons
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.
Ratings Across the Web
4.5(128 reviews)
Ratings aggregated from independent review platforms. Learn more
Preview
Key Features
Connect any data sourceModel in semantic layer IDEExplore data in workbooksPublish workbooks as dashboardsSemantic model agentWorkbooks and dashboards agentAnalytics chatCube Store caching
Pricing Plans
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
- For hobbyists completing small projects and showcasing work
Starter
$40 per Developer/month
- Everything in Free
- Extended limits on agents
- Use premium LLMs
- Unlimited workbooks
- Extended query limit
- Production deployment compute
- Cube Store caching
- Semantic Layer Sync
- Observability & high-availability
- For professionals streamlining data workflows
Premium
$80 per Developer/month
- Everything in Starter
- Explorer role
- Embedded dashboards
- Embedded analytics chat
- Unlimited queries
- 99.950% Uptime SLA
- Custom Domains
- Multi-cluster Deployment
- Performance Insights
- For teams scaling analytics and collaboration
Enterprise
Custom
- Everything in Premium
- 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
- MDX API for Excel
- DAX API for Power BI
- For enterprises demanding security and support
What is 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. It helps organizations define core business metrics once in a data model, ensuring consistency across all downstream tools and reducing the need for repetitive queries. The platform is designed to bridge the gap between modern data stacks and analytical tools, offering features for embedded analytics, real-time data processing, and an LLM & AI semantic layer to provide context to AI chatbots and large language models.
Cube is ideal for data analysts, data engineers, and product teams looking to streamline data workflows, enhance the speed of data model deployment, and improve the accuracy and consistency of analytics. It empowers users to explore data in workbooks, publish dashboards, and leverage AI agents for semantic modeling and analytics chat, ultimately enabling faster and more reliable insights from their data.
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Cube FAQ
What is Cube?
Cube is an agentic analytics platform that establishes a universal semantic layer for data, preparing it for both AI and Business Intelligence applications. It allows users to define core business metrics once, ensuring consistency across various analytical tools and enabling features like embedded analytics, real-time data processing, and AI-powered insights.
How much does Cube cost?
Cube offers a 'Free' plan for hobbyists. Paid plans include 'Starter' at $40 per Developer/month, 'Premium' at $80 per Developer/month, and 'Enterprise' with custom pricing.
Is Cube free?
Yes, Cube offers a 'Free forever' plan for hobbyists and small projects, which includes core features like connecting data sources, semantic layer IDE, workbooks, dashboards, and basic AI agents.
Who is Cube for?
Cube is designed for data analysts, data engineers, and product teams who need to streamline data workflows, ensure data consistency, accelerate data model deployment, and enhance their analytics capabilities, especially with AI and embedded analytics.
Source: cube.dev