- Cube: Agentic Analytics Platform
Cube, the universal semantic layer, makes it easy to connect BI silos, embed analytics, and power your data data apps and AI with context
- Cube BI – Turn data into decisions
Our interactive dashboards let you track sales, expenses, and customer behavior in real-time, eliminating spreadsheets and guesswork With smart forecasting, predict future trends using AI-powered tools to confidently plan inventory, staffing, and budgets
- Introduction | Cube Docs
Cube is the agentic analytics platform built on top of the semantic layer Cube enables AI agents and users to query, explore, and manipulate data models — transforming the semantic layer into a dynamic, governed workspace for generating insights, automating workflows, and building data products
- Services – Cube BI
Explore our expertly crafted sample dashboards designed for diverse industries, built using leading platforms like Power BI, Python, Azure, and React JS These dynamic dashboards showcase real-time data visualization, helping you uncover actionable insights tailored to your business needs
- Query from a BI tool | Cube Docs
You can query Cube using a BI or visualization tool through the Cube SQL API To provide a good end-user experience in your BI tool, we recommend mapping the BI's data model to Cube's semantic layer
- Meet Cube
Cube delivers a universal semantic layer that connects data sources to data apps, embedded analytics, BI tools, LLMs, or AI agents Creators of Cube Core Cube Cloud for businesses that need enterprise-grade, secure, production scale cloud semantic layer
- Integrations - cube. dev
Universal compatibility with every data source, BI tool, and visualization library Cube connects to any data application with its instant SQL, REST, and GraphQL APIs, making it a universally compatible semantic layer
- Beyond BI Cube: The Future of Business Intelligence | Sigma
A business intelligence cube or OLAP cube is a data structure optimized for fast and efficient analysis It enables consolidating or aggregating relevant data into the cube and then drilling down, slicing and dicing, or pivoting data to view it from different angles
|