Open-source semantic layer on Cube for centralized metrics management
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Synmetrix provides a production-ready, open-source semantic layer for centralized metrics management, built on Cube.js. It targets data engineers and analysts seeking to unify, model, transform, and distribute metrics across an organization, enabling data democratization and seamless integration with BI tools and applications.
How It Works
Synmetrix leverages Cube.js for flexible data modeling, allowing metrics and dimensions to be defined using SQL and Cube's data modeling files. This creates an abstraction layer over raw data sources, enabling the generation of optimized analytical SQL queries. Cube Store, a purpose-built distributed cache and query execution layer, enhances performance through fast aggregations, columnar storage, and advanced caching, making it suitable for large datasets and operational analytics.
Quick Start & Requirements
docker-compose.yml
from the repository and run docker-compose pull stack && docker-compose up -d
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Maintenance & Community
Licensing & Compatibility
Limitations & Caveats
The project has specific hardware requirements including a 3.2 GHz+ CPU, 8GB+ RAM, and 30GB disk space. ARM64v8 architecture requires specific Cubestore version adjustments.
5 months ago
1 day