A Logical Approach to Securing Data

Cube for the Microsoft Enterprise

Introducing DAX API for native Microsoft Power BI connectivity

Cloud Academy

With Cube, we’ve been able to speed up time to release a new data model to production by 5x and decrease analytics downtime by 90%.

How Cloud Academy sped up data modeling by 5x and decreased analytics downtime by 90%

Cyndx

Cube can do whatever your engineers want. They can build your analytics faster. There’s just not another tool out there that would fill in the blank for what we need.HTTP layer and abstraction over SQL.

How Cyndx simplified the embedded dashboards for their financial usersMay

Cuboh

With Cube, we’ve reduced the time required to generate real-time and historical reports from 10’s of seconds to less than 2, while reducing our spending on hosting by almost 80%.

How Cuboh decreased 100,000-row customer report times from 10’s of seconds to less than 2

Jobber

Cube really stood out as a great fit for our use case. We were able to level‑up our data infrastructure without needing to build a full‑blown and expensive data pipeline.

Jobber uses Cube to create high performance embedded dashboards for customers

COTA

The Cube platform reduces our development time significantly and integrates easily with data from various sources. The Cube team is collaborative and quick to respond to our requests and their open source ethos keeps things transparent.

How COTA uses Cube semantic layer to create a single source of truth for data

ShopBack

Cube provides us with the framework and tools to build our custom data visualization platform with minimal effort. Our full-stack developers are able to get productive quickly, optimizing performance wherever possible.

How ShopBack is using Cube to build custom embedded analytics with minimal effort

Data Modeling

Data Access Controls

Caching and Query Performance

Data APIs

Security

Semantic Catalog & AI Assistant

Capabilities

A fully-hosted, fully-managed universal semantic layer

Why Cube Cloud?

Product

Why a Semantic Layer?

Connect BI Software

Embedded Analytics

LLM & AI

Modern Cloud OLAP

Use Cases

All Industries

Financial Services

Technology

Healthcare

Industries

Solutions

Integrations

Pricing

Blog

On-demand Resources

Customer Stories

Learn

Join the Slack Community

Check the Code on GitHub

Events

Community

Documentation

Changelog

Docs

Cube Partner Network

Partnerships

Resources

Cube Cloud ranked Leader and Fast-Mover by GigaOm

Drata

SpaceX

Webflow

Tesla

Intuit

Walmart

Zscaler

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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’s leading universal semantic layer platform is the evolution of OLAP, transforming how enterprise teams manage and consume data. Say goodbye to inconsistent models and metrics. Now you can deliver fast, trusted data to any consumer, while making your data AI-ready.

Universal Semantic Layer:

Build AI and analytics solutions with unified data

What is a universal semantic layer?

Get accurate, consistent, and relevant responses from AI

Define one data model, accessible by multiple BI tools

Spreadsheets

Reduce operational costs and increase efficiency by replacing legacy OLAP

Build tailored data apps that are fast, flexible, and secure

Unify data across AI, BI, spreadsheets, and embedded analytics

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Always interoperable with your data stack

Code-first, developer-oriented approach to data

Productivity and performance booster

Created by data engineers for data engineers

Cube — The Universal Semantic Layer