Cube Cloud - 2026 Pricing, Features, Reviews & Alternatives

Cube is the universal semantic layer that makes it easy to connect data silos, and create and manage consistent metrics. Cube makes the metrics accessible to all of your BI tools, customer-facing in-app analytics, as well as LLMs, AI chatbots, and agents. Cube Cloud offers various features such as integrations with Power BI, Tableau, and Looker - along with developer tools, observability, security, and compliance, making it easy to quickly build, monitor, and use Cube across any business.

Data engineers use Cube Cloud to make building, maintaining, and trusting data applications easier and more secure. Its other features include:

- Semantic layer: Upstream and centralized metrics definitions are managed in code in Cube’s semantic layer. There is no need to specify metrics separately in each application, saving time and the aggravation of inconsistent metrics across teams.

- Embedded analytics: Integrate analytics into your user and customer workflow. Users can find insights they need from the customizable analytics experiences you build directly into their workflow.

- Headless BI: Organize and simplify once-complex SQL queries by abstracting them. Create a metrics layer that can generate SQL queries for defined metrics and dimensions, making it so downstream applications and their users don’t have to. Save valuable data engineer resources.

- LLM and AI agents and bots: Create much-needed context for your LLM with uniform and shared data models and metrics defined upstream. Allow AI apps to be fast, secure, and accurate.

Businesses of all sizes use Cube to deliver easy-to-use data experiences to their employees and customers.