Cube.js: Empower Your Data Access and Management! - Subscribed.FYI
Open Source


Cube is a comprehensive semantic layer translating raw data into consistent, secure, and performant insights accessible via APIs to unify data sources, optimize access control and performance, and empower users across organizations to explore and analyze data easily.

Cube.js: Empower Your Data Access and Management - Get the most out of Cube.js

How much can customers save with Cube.js deal?

Free Usage for Community

How to Use:

Step 1: Choose Your Deployment Option
  • Cube.js offers two deployment options: Cube Cloud for managed infrastructure or self-hosting with Docker.
  • Decide whether you want to use Cube Cloud for the fastest setup or Docker for local or self-hosted deployment.
Step 2: Cube Cloud Setup (Optional)
  • If opting for Cube Cloud, visit the Cube Cloud website and follow the instructions to get started.
  • Cube Cloud provides managed infrastructure and free access for development projects.
Step 3: Docker Setup
  • Install Docker on your local machine if you haven't already.
  • Create a new folder for your Cube.js project.
  • Run the following command in your terminal:
docker run -p 4000:4000 \ -p 15432:15432 \ -v ${PWD}:/cube/conf \ -e CUBEJS_DEV_MODE=true \ cubejs/cube
Step 4: Access Cube.js Dashboard
  • Once Docker is running, open http://localhost:4000 in your web browser.
  • You should see the Cube.js dashboard, where you can continue the setup process.
Step 5: Explore Cube.js Resources
  • Visit the Cube.js documentation for detailed guides on getting started, examples, tutorials, architecture, and contributing.
  • Familiarize yourself with Cube.js terminology and concepts, such as data modeling, data access control, caching, and APIs.
Step 6: Start Building with Cube.js
  • With Cube.js set up, you can start building data applications using the semantic layer provided by Cube.js.
  • Utilize Cube.js to connect to SQL-enabled data sources, organize data into consistent definitions, and deliver it to every application.
Step 7: Utilize Cube.js Features
  • Take advantage of Cube.js features such as data modeling, data access control, caching, and instant APIs to optimize your data applications.
  • Integrate Cube.js with data visualization tools, business intelligence dashboards, and front-end frameworks to power custom interfaces.
Step 8: Contribute to Cube.js (Optional)
  • If interested, consider contributing to the Cube.js project by starring the repository, following Cube.js on social media, adding Cube.js to your stack on Stackshare, upvoting issues, creating new issues, asking questions on Stack Overflow, or providing pull requests.
  • Refer to the Cube.js contribution guide for more information.
Step 9: License Information
  • Cube Client is MIT licensed, and Cube Backend is Apache 2.0 licensed.
  • Ensure compliance with the license terms when using Cube.js for your projects.

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