Cube

Freemium

A semantic-layer analytics platform for governed BI, AI agents, and embedded analytics.

Cubeとは？

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.

Cubeでできること

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.

利用シーン

“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.

よくある質問

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.

クイック情報

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

Cube のトラフィック分析

トラフィックデータは参考情報としてご利用ください。

月間訪問数: 12.1万
世界ランキング: #298,569
直帰率: 42.2%
平均滞在時間: 01:43
訪問あたりのページ数: 2.90
ドメイン評価: 75

4月	108697
5月	117823
6月	120590