Cube.js | Serverless Analytics Framework

Serverless Analytics Framework

A complete open source analytics platform: frontend SDKs and API backed by a fully managed analytics infrastructure.

Built for Developers

We obsess over developer experience. Cube.js gives development teams the building blocks to create a complex, custom-tailored analytics experience.

Bar Chart

Time Series

Table

Date Picker

Bar Chart

Client

import React from 'react';
import cubejs from '@cubejs-client/core';
import { QueryRenderer } from '@cubejs-client/react';
import { Spin } from 'antd';
import { Chart, Axis, Tooltip, Geom } from 'bizcharts';

const HACKER_NEWS_API_KEY = 'eyJ0eXAiOiJKV1QiLCJhbGciOiJIUzI1NiJ9.eyJpIjozODU5NH0.5wEbQo-VG2DEjR2nBpRpoJeIcE_oJqnrm78yUo9lasw';

const Example = <QueryRenderer
  cubejsApi={cubejs(HACKER_NEWS_API_KEY)}
  query={{
    measures: ['Stories.count'], dimensions: ['Stories.category']
  }}
  render={({ resultSet }) => {
    if (!resultSet) return <Spin />;

    return (
      <Chart data={resultSet.chartPivot()} height={400} forceFit>
        <Axis name="category" />
        <Axis name="Stories.count" />
        <Tooltip />
        <Geom type="interval" position="category*Stories.count" />
      </Chart>
    );
  }}
/>;

export default Example;

Cube.js Data Schema

cube(`Stories`, {
  sql: `select * from \`bigquery-public-data\`.hacker_news.stories`,

  measures: {
    count: {
      type: `count`
    }
  },

  dimensions: {
    category: {
      type: `string`,
      case: {
        when: [
          { sql: `STARTS_WITH(${title}, "Show HN")`,
            label: `Show` },
          { sql: `STARTS_WITH(${title}, "Ask HN")`,
            label: `Ask` }
        ],
        else: { label: `Other` }
      }
    },

    time: {
      sql: `time_ts`,
      type: `time`
    },

    title: {
      sql: `title`,
      type: `string`
    }
  }
});

Generated SQL

Get Started Quickly

Forget about developing and maintaining complex analytics infrastructure. Get up and running with just a few lines of code and deploy your first application to production on day one.

Completely Custom Look

Focus on what matters - building a great user experience. Customize the look and feel of charts and dashboard for your app.

Reduce Overhead

Building scalable and fast analytics backend is complex and time-consuming. We’ve done it for you - so you can build only things that are the core of your company business.

Cube.js empowers the developers to build custom and large-scale analytics features

Cube.js is designed to work with large-scale data sets and implements various optimization techniques. It takes the pain out of building analytics by maintaining the infrastructure and the query engine.

Data Schema

ORM for your analytics

Cube.js makes it easy for developers and data experts to collaboratively model the analytics domain. Being extremely flexible, it allows you to express everything from simple counts to cohort retention and funnel analysis.

cube(‘CheckoutFunnel‘, {
  extends: Funnels.eventFunnel({
    userId: { sql: user_id },
    time: { sql: timestamp },
    steps: [{
      name: `signup`,
      eventsView: { sql: `select * from sign_ups` }
    }, {
      name: `purchase`,
      eventsView: { sql: `select * from purchases` }
    }, {
      name: `checkout`,
      eventsView: { sql: `select * from checkouts` }
    }]
  })
});

Data Schema

ORM for your analytics

Query Engine

Query cache and database connection handler optimized for high load

The Cube.js query engine handles all the complexity of caching and managing database connections, letting you focus on building a great user experience.

Supported Databases

Getting Started with Cube.js

Start using Cube.js by following the simple steps below.
Or check out the Cube.js examples repository.

1. Install Cube.js CLI with NPM or Yarn

Cube.js CLI is used for various Cube.js workflows.

$ npm install -g cubejs-cli

2. Connect to Your Database

Connect to your existing data warehouse or set up a new one.

$ cubejs create hello-world -d postgres

3. Define Your Data Schema

Use Cube.js Schema to model raw data into meaningful business definitions.

Learn more

4. Visualize Results

Now you can use Cube.js client libraries and API to build analytics features directly into your apps.

Learn more

Get Started