# Attio + BigQuery

> Integrate contacts, companies, and deals data from Attio into BigQuery with Erathos. Start for free.

Source: https://www.erathos.com/en/pipelines/attio-bigquery
Em português: https://www.erathos.com/pipelines/attio-bigquery

Attio is a modern and fully customizable CRM that allows you to model contacts, companies, and deals data the exact way your sales team actually works.

With Erathos, your Attio data lands in BigQuery in minutes, ready to be joined with other business data sources in ad-hoc queries, without your team having to manage ingestion infrastructure.

### What Attio data does Erathos sync to BigQuery?

The integration automatically syncs all key Attio objects:

- **Contacts**: profile data and history for each person
- **Companies**: firmographic data and account relationships
- **Deals**: stage, value, and owner for each opportunity
- **Lists**: segmentations and custom lists created within Attio
- **Notes**: annotations linked to contacts, companies, or deals
- **Activity History**: interactions and status changes over time

### Why sync Attio to BigQuery?

Inside BigQuery, you can join Attio data with other business sources, running ad-hoc queries on massive volumes in seconds, all without managing infrastructure.

### How it works

Erathos connects to Attio via their official API and syncs your data incrementally: only new or updated records are processed in each run, keeping pipelines fast and BigQuery costs predictable. You choose the sync frequency (from every 5 minutes to daily), the objects to sync, and the destination dataset. Every run is tracked with full observability: execution time, rows processed, error context, and instant alerts via Slack or email if anything goes wrong.

## Data in your data warehouse in minutes

### Out-of-the-box Attio connector

Connect Attio to BigQuery and export contacts, companies, and deals automatically. No intermediary spreadsheets, no scripts.

### Full control over your Attio pipelines

Configure the schedule, frequency, and sync mode at the table level. Incremental sync only processes new or updated records, keeping BigQuery costs predictable and your data always up to date.

### End-to-end observability

Stop finding out about Attio failures only when the business team complains. Every execution is logged with run time, rows processed, and error context. Get automatic alerts via Slack, Discord, or email the moment something goes wrong.

## Syncing Attio data to BigQuery has never been easier

Erathos is a data ingestion platform for sales and data teams. With the Attio connector, you can automatically export contacts, companies, and deals directly to BigQuery—with no intermediary spreadsheets, no custom scripts, and full observability.

## FAQ

### What is Erathos and how can it help my company?

Erathos is a data ingestion platform built for reliability, transparency, and control. We help data teams connect tools like Attio to their data warehouse with full observability over every execution, zero maintenance, and none of the opacity of traditional market tools.

### What Attio data does Erathos sync to BigQuery?

Erathos syncs contacts, companies, deals, lists, notes, and activity history from Attio to BigQuery.

### How often does Erathos sync data from Attio to BigQuery?

You can configure the sync frequency from every 5 minutes to daily, at the table level. Erathos uses incremental syncs, meaning only new or updated records are processed in each run, keeping your Attio pipeline efficient and BigQuery costs predictable.

### What happens if an Attio sync fails?

Erathos automatically detects failures and sends alerts to your email, Slack, or Discord with full context—not just "job failed." Smart retries handle transient errors, and every run is logged with runtime, processed rows, and error context so your team can debug in minutes, not hours.

### Is there a free trial available for the Attio connector?

Yes. Every Erathos connector comes with a 14-day free trial. Connect Attio to BigQuery and start syncing immediately—no credit card required.
