Project Title

cube — Universal Semantic Layer Platform for Modern Data Applications

Overview

Cube is a next-generation OLAP technology designed for AI, BI, spreadsheets, and embedded analytics. It enables data engineers and developers to access data from modern data stores, organize it into consistent definitions, and deliver it to every application. Born in the cloud era, Cube represents the evolution of OLAP, bridging the gap between traditional relational databases and cloud data platforms.

Key Features

Supports all SQL-enabled data sources, including cloud data warehouses, query engines, and application databases.
Built-in relational caching engine for sub-second latency and high concurrency.
Provides OLAP-style analytics to modern cloud data platforms.
Offers intelligent caching and pre-aggregation strategies for performance optimization.
Robust access control for consistent security across the data ecosystem.
Modern REST, GraphQL, and SQL APIs, along with support for traditional MDX and DAX interfaces.

Use Cases

Data engineers using Cube to organize and deliver data from various sources to applications.
Organizations implementing efficient data modeling, access control, and performance optimizations without duplicating analytics modeling, data, or security permissions.
Developers integrating Cube into applications for multidimensional analysis and modeling capabilities.

Advantages

Brings multidimensional analysis and modeling to modern cloud data platforms.
Dramatically improves query response times with intelligent caching and pre-aggregation strategies.
Ensures consistent security across the entire data ecosystem with robust access control.
Provides a truly universal semantic layer with support for various APIs and interfaces.

Limitations / Considerations

As an evolving technology, Cube may have limitations in terms of compatibility with certain data sources or analytics tools.
The complexity of implementing a semantic layer may require significant setup and configuration.

Apache Superset: An open-source data exploration and visualization platform, differing from Cube in its focus on visualization rather than data access and organization.
Metabase: A simple, open-source business intelligence tool, which provides analytics but lacks Cube's focus on OLAP capabilities and universal semantic layer.
Redash: An open-source data visualization and sharing tool, which offers query and dashboard features but does not provide the same level of OLAP functionality as Cube.

Basic Information

GitHub: https://github.com/cube-js/cube
Stars: 18,883
License: Unknown
Last Commit: 2025-09-15

📊 Project Information

Project Name: cube
GitHub URL: https://github.com/cube-js/cube
Programming Language: Rust
⭐ Stars: 18,883
🍴 Forks: 1,890
📅 Created: 2018-09-16
🔄 Last Updated: 2025-09-15

🏷️ Project Topics

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📚 Documentation

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cube

Project Description