Connect Airtable to your Definite lakehouse in minutes.
Native sync with row-level security, CDC where supported, and hourly-or-faster freshness. Query it with SQL, build dashboards, or ask Fi.
Everything Airtable exposes, modeled and queryable.
Extracts data from Airtable bases and tables, including all table rows (records) with field values plus record metadata (id and created time). Enables analysis of custom operational datasets managed in Airtable—such as project trackers, CRM lists, task boards, content calendars, and other bespoke tables—centralized into a warehouse or analytics environment.
Tables & streams
Represents individual rows within an Airtable table, including field values and record metadata. Powers operational analytics and KPIs tailored to each table—such as pipeline progression, task throughput, content calendar status, and campaign tracking.
A modeled dataset within a base, defined by its fields and data types. Enables schema-aware modeling of dimensions and measures, stable keys, and joins for downstream reporting and data quality checks.
Top-level container that groups related tables (a project or app) and scopes access. Useful for cataloging datasets and aggregating metrics across multiple tables within the same base.
Uses a personal access token from your Airtable account (sent as a Bearer token) to authenticate
Requires a Airtable account to connect.
Structured project data, process metrics, and relational information.
Three steps. One afternoon.
Authenticate Airtable in a few clicks. OAuth, API key, or IAM role — we handle secrets and rotation.
We pull every stream into your lakehouse. CDC where the API supports it; full + incremental otherwise. Hourly-or-faster, row-level secure.
SQL, dashboards, or ask Fi in plain English. Your Airtable data lives next to every other source — ready to join.
Build your own with the Definite SDK, or ask us — we add new connectors every week.
