Airbook is a comprehensive data platform designed to meet the needs of startups by enabling them to sync clean data from any source, analyze it, create dashboards, and activate growth campaigns with ease. The platform supports integration with popular tools such as HubSpot, Stripe, Snowflake, and Zendesk, allowing users to get analytics-ready data in just a few clicks.

Airbook stands out for its simplicity, flexibility, and affordability, bypassing the high costs and complexities associated with traditional data stacks. It features powerful native connectors to various business apps, databases, and data warehouses, making it a versatile tool for generating insights. The platform supports both SQL and no-code functionalities, catering to a wide range of users from data analysts to business teams.

Users have praised Airbook for its intuitive interface and the ability to create insights without dealing with messy pipelines and multiple dashboards. The platform facilitates collaborative data analysis, enabling teams to make quicker and better decisions. With secure data storage and precise roles and permissions, Airbook ensures data integrity and compliance with the highest security standards.

Overall, Airbook is celebrated for transforming data analytics by making it accessible and actionable, driving smarter decisions and growth for businesses.

Pricing

Startup Plan: $80 per month, allows up to 1 million rows ingested, 3 connectors, 2 analyst seats, 100K rows per query, 5 projects, and unlimited viewers & editors.

Growth Plan: $150 per month, supports up to 3 million rows ingested, 5 connectors, 3 analyst seats (additional at $50 each), 500K rows per query, unlimited projects, and unlimited viewers & editors.

Full-Stack Plan: $300 per month, accommodates up to 10 million rows ingested, unlimited connectors, 5 analyst seats (additional at $60 each), 1M rows per query, unlimited projects, and unlimited viewers & editors.

Airbook offers a comprehensive solution combining 10+ products into one, providing simplicity, flexibility, and affordability compared to traditional data stacks.