Airbook

What is Airbook?

Airbook is a collaborative analytics platform for building and sharing data insights. It connects to over 150 data sources — including databases, data warehouses, and business apps — and lets users work with data using SQL, Python, or a no-code interface, all in one place. Airbook’s tech stack includes Python, AWS, GCP, TypeScript, React, and Supabase.

Key features:

• Fully managed ETL
• Native connectors to 150+ data sources
• SQL, Python, or no-code querying
• Data notebook and collaborative workspace
• Team collaboration tools

Airbook is designed to help teams integrate data from multiple product suites, create and share reports without switching tools, and collaborate with data and business teams throughout the decision-making process. It also supports gathering requirements, sharing context, and working around numbers without siloed reports or manual data extraction.

What is Airbook used for?

• Connecting to databases, data warehouses, and business apps via native connectors
• Querying data with SQL for complex joins, or with point-and-click visualizations similar to Excel
• Running analyses via SQL, Python, or no-code methods
• Managing ETL processes
• Generating and sharing insights across sources
• Gathering requirements, sharing context, and collaborating around numbers
• Simplifying data analysis, operations, and decision-making

Who is Airbook for?

• Data analysts
• Data scientists
• Business analysts
• Data engineers
• Data teams
• Business teams

How to use Airbook?

Airbook’s core workflow is to connect data sources, query with SQL/Python or no-code, and collaborate with your team. Use the managed connectors to bring in data, then work in the data notebook and shared workspace to build and share insights. ETL and reporting are managed from the same environment.

For pricing and additional details, visit the Airbook website.