Cube.js | Open Source Analytics Framework

Open Source Analytics Framework

A complete open source analytics solution: visualization agnostic frontend SDKs and API backed by analytical server infrastructure.

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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

SQL Code Organization

Sooner or later, modeling even a dozen metrics with a dozen dimensions using pure SQL queries becomes a maintenance nightmare, which ends with you building a modeling framework.

Infrastructure

Cube.js provides key components every production-ready analytics solution requires: analytic SQL generation, query results caching and execution orchestration, data pre-aggregation, security, and API for query results fetch.

Performance

Cube.js has necessary infrastructure for every analytic application that heavily relies on its caching and pre-aggregation layer to provide sub-second API response times on a scale of a trillion data points.

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 providing the required infrastructure.

VISUALIZATION AGNOSTIC

Build Your Custom Look

Focus on what matters—building a great user experience. Cube.js provides data fetch and access utilities as client libraries instead of pre-built data visualizations. Use your native visualization components instead of trying to hack styles of embedded analytics.

CACHING

Advanced Two-Level Caching System

Cube.js comes with a two-level caching system, which allows for building flexible and extremely performant dashboards and reports. The built-in pre-aggregation engine aggregates raw data into roll-up tables and keeps them up to date. Queries, even with different filters, hit the aggregated layer instead of raw data, which allows for a sub-second response on terabytes of underlying data.

SECURITY

Enterprise-Grade Security and Multi-tenancy

Cube.js comes with row-level security, designed to scale to thousands of customers. It uses industry standard and time-proven approaches. Cube.js also supports multi-tenancy out-of-the-box, both for multiple databases and data schemas.

Supported Databases

AND MANY OTHERS

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