Do I need a separate data warehouse for my Airtable data?

No. Definite includes a built-in lakehouse, so you don't need to pay for a separate warehouse like Snowflake, BigQuery, or Redshift. Your Airtable data syncs into open Parquet storage and is queried by a DuckDB-powered engine for high-performance analytics. Definite handles encrypted, persistent storage behind the scenes with enterprise-grade security, automatic syncing, and backups. You get lightning-fast queries, built-in business intelligence tools, and SOC 2 compliant security, all without the overhead or complexity of running a separate warehouse.

Can I analyze my Airtable data with other data sources?

Yes. Definite lets you connect and analyze data across all your tools: app databases, CRMs, marketing automation, analytics, and customer support platforms. Our built-in Sync Engine supports 500+ data sources, with options for daily, hourly, or near real-time syncs. You can select metrics and dimensions from your Airtable data alongside other sources to explore insights, build dashboards, and share results (no SQL needed, unless you want to). Or simply ask Fi, our AI analyst, to find answers, uncover patterns, and instantly create charts and reports for you.

Can Definite connect Airtable data to tools like Python, SQL, Google Sheets, or Slack?

Yes. Definite integrates seamlessly with the tools you already use. You can run Python scripts for advanced analysis, query your data directly with SQL, or sync results to Google Sheets and Slack for easy sharing. Data can be exported in CSV, Excel, or JSON, accessed via the Metrics API, or embedded directly into your product or internal dashboards. Definite makes it simple to connect, automate, and share insights wherever your team works.

How does Definite's AI actually work?

Definite includes Fi, our AI data analyst that understands your business data and speaks your language. Fi can explore your connected sources, write SQL, and build charts or dashboards in minutes, turning plain-English questions into real analysis. Under the hood, Fi uses Definite's semantic models and query engine to interpret context, generate accurate queries, and explain results clearly. The result: faster insights, fewer bottlenecks, and analytics that finally deliver ROI.

Can I use Definite for free?

Yes. Definite offers a free plan for qualifying startups that includes core analytics, dashboards, and AI insights: everything you need to get started. You can upgrade anytime for more data sources, faster syncs, and advanced automations.

Definite runs as a private deployment in your own cloud (AWS, GCP, Azure, or anywhere with Kubernetes); you keep control of data, compute, and networking. Request a demo →

Explore with AI

← All connectors/Project & Collaboration

§ Connector

Airtable

Analyze your Airtable data with AI today.

Build dashboards, automate reports, and ask questions in plain English — all from your Airtable data, no complex infrastructure to maintain.

See Airtable in Definite →Try it free

Have multiple Airtable accounts? Analytics across multiple Airtable accounts →

Want it to watch your Airtable data and act on its own? Meet the Airtable agent →

§ Live with

§ What you get

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.

Standard on every Definite connector

Sync cadence

Hourly or faster

CDC

Native where supported

Auth

OAuth / API key

Row-level security

Yes

Tables & streams

3 objects

◆Record

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.

salesmarketing

◆Table

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.

engagementgeneral_data_storage

◆Base

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.

engagementproduct

Authentication

Uses a personal access token from your Airtable account (sent as a Bearer token) to authenticate

Requirements

Requires a Airtable account to connect.

§ How it works