# Cube A semantic-layer analytics platform for governed BI, AI agents, and embedded analytics. - Findings24: - Site: - Preços: Freemium - Categorias: Analytics & BI ## O que é Cube? Cube is an analytics platform built around a semantic layer. Data teams define business metrics, dimensions, joins, and access rules in a shared model, then make those governed definitions available to BI tools, applications, and AI agents. The goal is to keep calculations and business context consistent across analytics surfaces. The platform combines business intelligence tools—including Analytics Chat, workbooks, and dashboards—with APIs and embedding options for building analytics into another product. Models can be authored in code or visually, and Cube Cloud provides a managed hosting option. ## O que Cube pode fazer? ### Shared semantic model Define measures, dimensions, joins, and access rules once. Downstream dashboards, embedded experiences, and agents use the same business definitions. ### Natural-language Analytics Chat Users can ask questions in plain English; Cube builds queries against the semantic model so results use its defined metrics and context. ### Workbooks and dashboards Workbooks combine SQL and a visual editor, with a Workbook Agent to draft and iterate on queries. A Dashboard Agent supports conversational dashboard building. ### Code and visual modeling Build and edit models in Python, JavaScript, or YAML, or use the Visual Modeler. The Data Model IDE and Playground support authoring and prototyping against live data. ### APIs and agent access Serve model data through Postgres-compatible SQL, REST, GraphQL, and MCP interfaces; DAX and MDX APIs are also available for spreadsheets. ### Embedded analytics options Use chat and dashboard iframes, Creator Mode for embedded workbook and dashboard creation, or core data APIs to build a custom interface. ## Casos de uso ### Give business teams self-serve answers Let users explore business questions through Analytics Chat or workbooks while keeping queries grounded in centrally defined metrics. ### Standardize reporting across teams Use one model for shared metric definitions so internal dashboards and other analytics consumers refer to the same calculations. ### Add analytics to a customer product Embed chat, dashboards, or authoring workflows, or use data APIs to create a custom customer-facing analytics experience. ### Provide governed data to AI agents Expose business context and data through MCP or APIs so agents can run analysis using the semantic model's definitions and access rules. ## Perguntas frequentes ### How can a team create a Cube data model? Models can be authored in Python, JavaScript, or YAML, or built visually with the Visual Modeler. Cube also describes an IDE, a Playground for prototyping against live data, and development-mode testing. ### What interfaces can consume the model? Cube lists Postgres-compatible SQL, REST, and GraphQL APIs, an MCP server for AI agents, and DAX and MDX APIs for spreadsheets. Its BI surfaces include Analytics Chat, workbooks, and dashboards. ### Can Cube analytics be embedded in another application? Yes. Options listed include an Analytics Chat API, chat and dashboard iframes, Creator Mode for embedded workbook and dashboard creation, and core data APIs for custom interfaces. ### Is managed hosting available, and is there a free plan? Cube Cloud provides managed hosting. The Free plan is free forever for hobbyists and small projects. Starter costs US$40 per developer per month, and Premium costs US$80 per developer per month. Compute and deployment resources can add usage-based charges depending on the configuration; Enterprise pricing is custom. ## Informações rápidas - **Product category**: Business intelligence and semantic-layer analytics platform - **Primary users**: Data teams, analysts, application builders, and AI agents - **Modeling languages**: Python, JavaScript, and YAML; visual modeling is also available - **Deployment option**: Cube Cloud, a managed hosting solution - **Free plan**: Listed as free forever for hobbyists completing small projects and showcasing work