Airtable integration

Airtable data, in your warehouse.

A built-in ingestr connector: add credentials, pick tables, schedule it.

name: raw.base_id_table_id
type: ingestr
parameters:
  source_connection: airtable
  source_table: '<base_id>/<table_id>'
  destination: snowflake
  incremental_strategy: merge

$ bruin run assets/raw/airtable.asset.yml

  1. extract · Airtable <base_id>/<table_id>incremental
  2. load · snowflake raw._base_id_table_id_merged
  3. checks · not_null, unique

Loaded and checked. Downstream models can run.

How it connects

Connected in three steps.

Cloud-based platform that combines spreadsheet and database functionalities, designed for data management and collaboration.

  1. 01

    Add a Airtable connection with its credentials.

  2. 02

    Pick the tables to load and how: replace, append or merge.

  3. 03

    Bruin runs it on your schedule and checks every load.

Connection parameters

access_token
A personal access token for authentication with the Airtable API

Tables

1 tables, ready to load.

  • <base_id>/<table_id>

The platform

Part of the Bruin platform.

Data in, ready for everything downstream: the models, the checks, the lineage and the AI layer.

Frequently asked

Questions about Airtable.

Does Bruin have a built-in Airtable integration?

Yes. Built-in ingestr source.

Which Airtable tables can Bruin load?

<base_id>/<table_id>.

Where can Airtable data go?

Snowflake, BigQuery, Databricks, Redshift, ClickHouse, Postgres, DuckDB, MotherDuck, Microsoft Fabric and more, plus files on S3 and GCS.

How fresh is the data?

As fresh as your schedule. Incremental loads append, merge or replace a time window, every few minutes if you like.

Do we need Bruin Cloud?

No. The Bruin CLI and ingestr run locally, in CI or in your own orchestrator. Bruin Cloud adds scheduling, lineage, alerts and the AI data analyst on top.

Ready to connect Airtable?

$100 in credits and 50 AI tasks. No credit card.

A demo walks through your own data.

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