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LicenseApache-2.0
GitHub stars18.5k
Last commit1 weeks ago
Tags6 topics
Business IntelligenceAnalyticsSemantic LayerApiMetricsSql
Overview

Why consider Cube?

Cube is an open-source universal semantic layer that connects data warehouses to BI tools and AI agents. It centralizes metric definitions, access controls, and query acceleration caching.

Guided learning

Learn Cube by building

Practical setup notes, real use cases, and copy-ready examples in one focused guide.

1 min read 2 sections
In this guide2 sections

Overview of Cube

Cube sits between modern cloud data warehouses (PostgreSQL, Snowflake, ClickHouse, DuckDB) and data consumers (BI tools, front-end charts, LLM agents). It standardizes metric definitions as code, handles multi-tenant caching with pre-aggregations, and serves data via SQL, REST, and GraphQL APIs.

Creating a Cube Application

bash
1npm install -g cubejs-cli
2cubejs create my-semantic-layer -d postgres
3cd my-semantic-layer
4npm run dev

Open the Developer Playground on http://localhost:4000 to build data schemas and run analytical queries.

Cube Core is licensed under the Apache License Version 2.0.

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More options with a similar category or technology profile.

Cube FAQs

Cube is listed as a Developer Tools tool on TiloBox. Review the overview, features, and official documentation on this page to decide whether it solves your specific workflow.

Start with the project's GitHub repository and official website for supported installation and deployment instructions. Test the setup with representative data or a small project before rolling it out more widely.

Cube is listed under the Apache-2.0 license. Read the complete license text and the project's notices before using, modifying, or distributing the software.

Production readiness depends on your requirements. Review maintenance activity, security practices, documentation, backup and upgrade procedures, and compatibility with your stack; then validate it in a non-production environment.

Cube is listed as an alternative to Looker. Compare the core workflow, deployment model, integrations, and licensing against your must-have requirements before switching.