Attio integration

Attio data, in your warehouse.

A built-in connector both ways: load Attio into your warehouse, and push modelled data back with reverse ETL.

name: raw.objects
type: ingestr
parameters:
  source_connection: attio
  source_table: 'objects'
  destination: snowflake
  incremental_strategy: merge

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

  1. extract · Attio objectsincremental
  2. load · snowflake raw.objectsmerged
  3. checks · not_null, unique

Loaded and checked. Downstream models can run.

How it connects

Connected in three steps.

AI-native CRM platform that helps companies build, scale, and grow their business with intelligent customer relationship management.

  1. 01

    Add a Attio 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.

  4. 04

    To write modelled data back into Attio, point an ingestr asset at it as the destination (reverse ETL).

Connection parameters

api_key
API key for authentication with the Attio API

Every way Attio works with Bruin

  • SourceBuilt-in ingestr sourceDocs →
  • DestinationBuilt-in ingestr destinationDocs →

Tables

5 tables, ready to load.

  • objects
  • records:{object_api_slug}
  • lists
  • list_entries:{list_id}
  • all_list_entries:{object_api_slug}

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 Attio.

Does Bruin have a built-in Attio integration?

Yes. Built-in ingestr source. Built-in ingestr destination.

Which Attio tables can Bruin load?

objects, records:{object_api_slug}, lists, list_entries:{list_id}, all_list_entries:{object_api_slug}.

Can Bruin write data back to Attio?

Yes, with reverse ETL. A regular ingestr asset reads a warehouse table and writes Attio records, matched on a field you choose (destination_table: 'people?matching_attribute=email_addresses').

Where can Attio 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 Attio?

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

A demo walks through your own data.

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