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- Developer seat, up to 5 workbooks, 1,000 daily request limit, 1-day query history retention
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Start here for the decision-making essentials: what Cube does, who it is for, how it is accessed, and the first-party sources behind this profile.
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Cube is an agentic analytics platform built on a universal semantic layer, delivering AI-native business intelligence and embedded analytics with governed, trustworthy answers for internal and customer-facing use.
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Short answers to the questions buyers and builders commonly ask about Cube. Each answer cites the shared ledger below, where every source is listed once.
Agentic analytics platform built on a semantic layer · Multi-tenant by construction with governance flowing from the semantic model to customer p · AI-native BI for internal analytics and embedded analytics with a semantic layer · Query caching for responsive analytics
Cube is the agentic analytics platform, built on a semantic layer — AI-native business intelligence and embedded analytics
BI for both humans and AI agents, for internal teams and customer-facing · Embedded analytics allowing customers to build their own workbooks and dashboards inside t · Embedded analytics for internal and external (customer-facing) dashboards
BI for both humans and AI agents — for your team and your customers.
REST and GraphQL APIs
Cube's flexibility with multiple data sources and its ease of use—particularly in defining complex metrics and access through REST and GraphQL APIs—made it the perfect fit
Connects to Claude, ChatGPT, Cursor, and Slack via an MCP server · Google Sheets and Excel add-ons for semantic layer exploration · ClickHouse (paired for high-performance querying)
Talk to your data from Claude, ChatGPT, Cursor, or our Slack agent via the MCP server — with more integrations on the way.
Cloud, VPC, or BYOC deployment models
flexible deployment (Cloud, VPC, BYOC)
SOC 2 Type II, HIPAA, and GDPR compliant · SSO via SAML 2.0 and OAuth 2.0 · Data encrypted at rest and over SSL/TLS 1.2 in transit, with token-based API security and
Cube Cloud is SOC 2 Type II, HIPAA, and GDPR compliant — the same standards hold across the entire stack and our internal processes.
This profile connects the jobs Cube is described as handling with its delivery model, access options and the subjects used to match it to related products in this directory.
Each fact points to a recorded source, making it easy to distinguish verified product information from claims that need checking.
HTTP 200 verified twice
Cube — The agentic analytics platform built on a semantic layer
Agentic analytics platform built on a semantic layer · Multi-tenant by construction with model-driven governance · BI for humans and AI agents, internal teams and customers
Agentic analytics platform built on a semantic layer
Multi-tenant by construction with governance flowing from the semantic model to customer permissions
BI for both humans and AI agents, for internal teams and customer-facing
Embedded analytics allowing customers to build their own workbooks and dashboards inside the host application
Cloud, VPC, or BYOC deployment models
AWS, GCP, and Microsoft Azure
Connects to Claude, ChatGPT, Cursor, and Slack via an MCP server
Google Sheets and Excel add-ons for semantic layer exploration
SOC 2 Type II, HIPAA, and GDPR compliant
A concise view of the jobs, capabilities and integrations described in the recorded product sources.
Documented product formats, platforms and official distribution destinations. Availability can vary by region and plan.
A concise history of software releases and material product changes. Events appear only when a dated source supports what changed.
Showing the newest updates and meaningful milestones. Open an entry for its summary and source.
Added Sankey chart support that lets users visualize flows between two dimensions and a measure without writing a custom Vega specification, plus Parent controls that update multiple Dashboard Filter and Time Granularity controls at once.
View source [1]Cube released Sankey charts that turn two dimensions and a measure into a flow visualization, with multi-stage paths, grouping of small nodes, tooltips, and drill-down, available in Explore, Workbooks, and published Dashboards.
View source [1]Workbooks now let users create numeric bins or named string groups from a dimension's menu, producing a query-scoped field editable later without changing the data model.
View source [1]Cube blog post from CEO Artyom Keydunov outlining the shift from prompting agents to designing agentic analytics loops around the semantic layer, drawing parallels with software engineering harnesses for long-running agents.
View source [20]Cube shipped chart updates including small multiples layout, rebuilt pie/donut charts with concentric ring support, richer table conditional formatting, and per-KPI block styling.
View source [1]Facts, answers, structured details, milestones and primary resource links cite this shared ledger. Each external page appears once; release tags from the same GitHub project are grouped under one release history.
These tools share a workflow, capability or audience with Cube. They may complement it rather than replace it, and are not presented as integrations or endorsements.
SSO via SAML 2.0 and OAuth 2.0
Data encrypted at rest and over SSL/TLS 1.2 in transit, with token-based API security and API-level filtering
Auto agent uses Claude Sonnet 5; Claude Opus 5 used for data modeling on paid plans
AI-native BI for internal analytics and embedded analytics with a semantic layer
Cube Cloud
REST and GraphQL APIs
ClickHouse (paired for high-performance querying)
Query caching for responsive analytics
Embedded analytics for internal and external (customer-facing) dashboards
Google Sheets and Excel add-ons with workbook home grouping placed explorations by sheet
Field Switcher lets Dashboard viewers swap the dimension or measure behind a chart
Creator Mode embed with workbook actions and folder sharing
Analytics Chat AI can create, save and preview Sankey charts
Agentic analytics platform built on a universal semantic layer providing AI-native BI and · Multi-tenant governance flows from your model through to customer permissions · MCP server enables agent-to-agent integration with Claude, ChatGPT, Cursor, and Slack
Agentic analytics platform built on a universal semantic layer providing AI-native business intelligence and embedded analytics
Embedded analytics for customer-facing dashboards and AI-driven business reviews, with multi-tenant governance from model to customer permissions
Model Context Protocol (MCP) server enables agent-to-agent integration with external AI tools
Connects to Claude, ChatGPT, Cursor, and Slack via the MCP server
Fully managed multi-tenant Cloud, single-tenant Virtual Private Cloud (VPC), or Bring Your Own Cloud (BYOC) on AWS, GCP, and Microsoft Azure
SOC 2 Type II, HIPAA, and GDPR compliant with data encrypted at rest and token-based API security
SSO via SAML 2.0 and OAuth 2.0, all application traffic encrypted over SSL/TLS 1.2, and external penetration tests run throughout the year
Agentic analytics platform built on a semantic layer
Internal BI and embedded analytics
Open-source project first committed in September 2018
Cube Core is an open-source project
Postgres-compatible SQL API, REST API, GraphQL API, DAX and MDX APIs for spreadsheets
MCP (Model Context Protocol) server for AI agents
Python, JavaScript, and YAML data-model authoring
