Attio connector

Set up the Attio connector in Kaivo: authentication, configuration, the BigQuery tables it syncs, and answers to common questions.

Written By Lauri Raivio

Last updated About 5 hours ago

Kaivo is a fully managed data platform that syncs your Attio data into a Google BigQuery warehouse and keeps it up to date automatically. There is no pipeline to build and no infrastructure to run, so you can spend your time analysing your CRM data instead of moving it.

What is the Attio connector

Sync your Attio CRM data into BigQuery with Kaivo to report on your pipeline and customer relationships alongside the rest of your data.

CategoryCRM
StatusGenerally available
AuthenticationAPI key
SetupSelf-service

Getting started with the Attio connector

  1. Sign up for Kaivo and create a workspace.
  2. Connect your Attio account.
  3. Choose which tables to sync.
  4. Wait for the initial sync to finish.
  5. Query your data in BigQuery or your favourite AI or BI tool.

Authenticating Attio

Authenticate with your Access Token.

FieldDescription
Access Token

Personal access token for your Attio workspace. Create one under Workspace settings → Developers → Access tokens in Attio. Set Read permissions for the following data:

  • User Management
  • Records
  • Object Configuration
  • List configuration

Configuring the Attio connector

When you set up the connector, you provide:

FieldDescription
Custom Object Slugs

If you are using custom objects and want them in your reports, get their slugs. Slugs are available from the Configuration tab of their Object listing under "Identifier / Slug"

Tables and columns synced from Attio

The streams and columns for this connector aren't listed automatically yet.

How the Attio sync works

After the first load, Kaivo keeps your BigQuery warehouse up to date for you. Where Attio supports it, each sync pulls only new and changed records so it stays fast; otherwise it refreshes the whole table. Every record keeps its original ID, so you won't get duplicate rows.

Frequently asked questions

How long does the initial sync take for Attio?

It depends on how much history is in your Attio account. Most initial syncs finish within minutes, while large accounts can take a few hours. After that, syncs only fetch new and changed records, so they're much faster.

Can I sync only some tables or columns?

Yes. You pick which tables to sync when you set up the connection and can change the selection later. Tables you don't select are never copied to your warehouse.

What happens when Attio's schema changes?

New fields are never added automatically. You choose which fields to sync, so data you haven't selected (sensitive personal data, for example) never lands in your warehouse. When a new field appears, it becomes available for you to add. What happens to removed or renamed fields depends on a table's sync mode: full-refresh tables always match what's currently in Attio, so dropped fields disappear, while incremental tables keep their existing columns and history, so an old field stays and newly added fields fill in over time.

How do I handle GDPR or data deletion requests?

Your data lives in your own Kaivo-managed BigQuery warehouse, so the most direct option is to delete or anonymise specific records right in BigQuery. If you delete data in Attio instead, full-refresh tables drop it on the next sync, while incremental tables keep it, so you would remove the row in BigQuery or ask us to run a full refresh. To remove everything, delete the Attio connector in Kaivo and all of its synced data is deleted with it.

Common use cases for Attio data

Pipeline reporting

Track deals by stage and owner to measure conversion and forecast revenue.

Relationship insights

Analyse companies and people to find your most engaged accounts and contacts.

Activity tracking

See how outreach and interactions map to the deals that move forward.

CRM and product together

Combine Attio records with product or billing data to connect sales activity to outcomes.

Use Attio data in your AI and BI tools

Once Attio data lands in your Kaivo-managed BigQuery warehouse, you can explore it with AI tools or any BI tool that connects to BigQuery. Here's how the most common destinations work with Attio data.

Claude

Use Kaivo's MCP server to give Claude secure, workspace-scoped access to your data. Setup guide →

Power BI

Microsoft's BI tool with a native BigQuery connector. Supports direct query and scheduled refresh. Setup guide →

Data Studio

Free Google BI tool with native BigQuery support. One-click connection to your Kaivo warehouse; great for SMB teams on Google Workspace. Setup guide →

Tableau

The premium analytics standard, with native BigQuery integration. Setup guide →

Google Sheets

Use Connected Sheets to query BigQuery directly from a spreadsheet, with no SQL. Setup guide →

Excel

Connect via Power Query's BigQuery connector. Setup guide →

Metabase

Open-source BI tool with strong BigQuery support. Setup guide →

See our pricing page for Attio connector pricing and plan details.