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Querybook

Querybook is a Big Data Querying UI, combining collocated table metadata and a simple notebook interface.

Querybook

Querybook is a Big Data Querying UI, combining collocated table metadata and a simple notebook interface.

Author Avatar Theme by pinterest
Github Stars Github Stars: 2106
Last Commit Last Commit: May 21, 2025 -
First Commit Created: Aug 27, 2024 -
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Overview

Querybook is a Big Data Integrated Development Environment (IDE) designed to help users discover, create, and share data analyses, queries, and tables. It offers a feature-rich platform for organizing analyses, composing queries, scheduling tasks, collaborating with others, and more.

Features

  • Organize analyses: Allows users to organize analyses with rich text, queries, and charts.
  • Compose queries: Users can compose queries with autocompletion and hovering tooltip for enhanced efficiency.
  • DataDocs: Users can utilize scheduling and charting in DataDocs to build interactive dashboards.
  • Live query collaborations: Collaborate in real-time with others on shared queries.
  • Additional documentation: Users can add supplementary documentation to tables for better context.
  • Lineage and insights: Access lineage, sample queries, frequent user suggestions, and search ranking based on past query runs.

Installation

  1. Prerequisite: Ensure Docker is installed on your system.
  2. Quick Setup:
    • Pull the Querybook repository.
    • Run the command make.
    • Access Querybook via http://localhost:10001 upon successful build completion.
  3. For detailed installation instructions, refer to the official documentation.

Summary

Querybook is a versatile Big Data IDE with a range of features designed to streamline data analysis and collaboration processes. With capabilities for organizing, composing, scheduling, and sharing data analyses, Querybook offers a comprehensive solution for users working with large datasets. The platform also supports various integrations, authentication methods, and result storage options, making it a flexible tool for data professionals.