Cube Cloud | The Universal Semantic Layer

Universal Semantic Layer + Agentic Analytics

Build your stack to fit your unique requirements and deliver consistent, governed data anywhere.

  • Unify fragmented business logic

     

  • Govern data access centrally

     

  • Optimize for speed and savings

     

  • Integrate using any API endpoint

What is a universal semantic layer?

 

A universal semantic layer is an independent yet interoperable part of the modern data stack, sitting between cloud data sources and data consumers. It allows every data consumer, whether it is AI, BI, spreadsheets, or embedded analytics, to work with the same semantics and underlying data, leading to consistent and trusted insights.

 

 

Curated content to learn more about Cube + Snowflake

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Agentic Analytics

 

Agentic AI systems are a subset of generative AI that are capable of completing complex, multi-step tasks autonomously. They are intelligent, software-driven tools designed to execute tasks traditionally handled by people, often independently. Agentic Analytics platforms, such as Cube D3, apply Agentic AI to the data and analytics lifecycle.

 

Key characteristics of Agentic Analytics include:

autonomy

Autonomy

They can operate independently with minimal human supervision.

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Goal-Directed Behavior

They are purpose-built to tackle complex challenges and automate intricate business workflows towards predefined objectives.

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Action-Capable

They can carry out tasks and execute steps not just talk about it.

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Adaptability

They can adapt to new variables and refine actions based on evolving circumstances.