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Cube.js - Universal Semantic Layer for Data Applications
Cube’s universal semantic layer platform is the next evolution of OLAP technology for AI, BI, spreadsheets, and embedded analytics
Rust
Added on 2025年6月26日18,638
Stars1,849
ForksRust
LanguageProject Introduction
Summary
Cube is an open-source, API-first universal semantic layer platform designed to help data teams build consistent data definitions and provide fast, governed data access to modern data applications including BI, AI, spreadsheets, and embedded analytics.
Problem Solved
Inconsistent data definitions across different tools, slow queries on large datasets, and difficulty providing secure, performant data access for various consuming applications like BI, AI/ML models, or embedded analytics.
Core Features
Centralized Semantic Modeling
Define metrics and dimensions once in a central place, ensuring consistency across all downstream applications and users.
Query Acceleration Engine
Leverage caching, pre-aggregations, and query optimization techniques to provide fast query responses even on large datasets.
Tech Stack
TypeScript
Node.js
PostgreSQL
Redis
Various Data Sources (Snowflake, BigQuery, Redshift, etc.)
Use Cases
Cube's universal semantic layer can be applied in various scenarios where consistent, performant data access is required across multiple tools and users.
Powering Business Intelligence Dashboards
Details
Use Cube to power dashboards and reports in BI tools like Looker, Tableau, or Metabase, ensuring all metrics are calculated consistently regardless of the BI tool.
User Value
Deliver consistent and accurate insights across the organization; improve BI tool performance.
Enabling AI/ML Data Access
Details
Provide controlled and optimized data access to machine learning models, feature stores, or data science notebooks, ensuring data scientists work with defined and ready-to-use features.
User Value
Accelerate model development; ensure feature consistency and freshness.
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