Querybook

Querybook is an open-source big data IDE developed by Pinterest. According to the vendor, it serves as a platform for composing queries, creating analyses, and collaborating with others. Designed to simplify the process of querying and analyzing data, Querybook is intended to cater to both small and large companies across various professions and industries, including engineers, data scientists, analysts, researchers, and technology companies.

Key Features

Querying done right: According to the vendor, Querybook aims to simplify the process of composing queries, creating analyses, and collaborating with others by providing a user-friendly interface for querying and analyzing big data.

Collaborative DataDoc: The vendor claims that DataDoc allows users to organize rich text, queries, and charts into a notebook-like format, facilitating documentation, collaboration, and real-time updates for data analysis projects.

Smart Query Editor: According to the vendor, the Query Editor in Querybook is aware of the tables and columns in the database, offering features such as autocompletion, syntax highlighting, and easy navigation through the database schema.

Visualizations: The vendor states that Querybook enables users to create various types of charts, including line, bar, stacked area, pie, horizontal bar, donut, scatter, and table charts, enhancing the data narrative in their analyses.

Templating: According to the vendor, Querybook supports dynamically generated queries using Jinja2 templating, allowing users to set variables in the DataDoc on the fly for flexible and customizable queries.

Scheduling: The vendor claims that Querybook comes with built-in scheduling functionality for automatic DataDoc updates, allowing users to set intervals for updates and send scheduled updates to external apps, automating data analysis processes and keeping reports up to date.

Query Analytics: According to the vendor, Querybook automatically analyzes executed queries to provide data lineage, example queries, frequent user information, search, and auto-completion ranking, enhancing query efficiency and improving analysis workflow.

Plugin Features: The vendor states that Querybook's plugin system enables users to customize and configure the platform according to their specific needs, integrating their own query engine, adding exporters, setting up notifications, and transforming query results.

Integrations: According to the vendor, Querybook supports various databases out-of-the-box, including a wide range of SQL and NoSQL databases, and seamlessly integrates with popular cloud platforms for data analysis and collaboration.