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CRM ⇄ Data warehouse

Attio to MotherDuck integration — real-time, two-way sync

Keep Attio and MotherDuck in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.

  • SOC 2 and 6 other compliance frameworks
  • POC with real engineers in minutes

Adopted by fast-scaling companies moving mission-critical data in real time

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Why teams connect Attio and MotherDuck

Sync Attio into MotherDuck continuously and push warehouse results back onto CRM records, one two-way connection instead of two pipelines.

Teams sync Attio into MotherDuck to make CRM data analyzable alongside the rest of the warehouse. Attio People, Companies, and Deals land in MotherDuck Tables where analysts query them with SQL, build Views, and share results through Database Shares.

Stacksync does both with one connection. Custom objects, People, Companies, Users from Attio land in MotherDuck as live tables, updated within seconds, and columns computed in MotherDuck write back to fields in Attio. There is no separate ETL and reverse-ETL stack to stitch together and no jobs to babysit.

Common use cases

  • 01 Build pipeline and win-rate analysis over Attio Deals entirely in SQL
  • 02 Join Attio Company data with product and billing Tables already in MotherDuck
  • 03 Share a governed CRM dataset with finance via a Database Share instead of CSV exports
  • 04 Write product usage and enrichment data into Attio attributes so GTM teams work from live account signals.

Common sync patterns

CRM to warehouse

Attio People, Companies, and Deals replicate into MotherDuck Tables under dedicated Schemas

Analytics distribution

Views over synced Attio data are exposed to other teams via MotherDuck Database Shares

Local analysis

synced CRM Tables are queried alongside attached local DuckDB databases for ad hoc work

What you can sync between Attio and MotherDuck

Representative objects on each side — any object or custom field can map to any target. Schemas are auto-detected; types are converted between the two systems.

Attio objects MotherDuck objects How this pairing syncs
Companies Standard company object; matched to billing and product accounts in two-way syncs. Views Modeled projections used as outbound sync sources. Companies is specific to Attio and Views to MotherDuck — each maps to any object or custom field on the other side.
Users Synced with incremental and full sync per the Stacksync docs. Database Shares Read-only copies of a database shared with other users or teams. Users is specific to Attio and Database Shares to MotherDuck — each maps to any object or custom field on the other side.
Deals Pipeline records; read out for revenue reporting and written to from automation. Attached Local DuckDB Databases Local files attached alongside cloud databases for hybrid queries. Deals is specific to Attio and Attached Local DuckDB Databases to MotherDuck — each maps to any object or custom field on the other side.
Workspaces Synced with incremental and full sync per the Stacksync docs. Databases Cloud-hosted DuckDB databases that scope a sync's reads and writes. Workspaces is specific to Attio and Databases to MotherDuck — each maps to any object or custom field on the other side.
Custom objects Workspace-defined objects that behave like standard ones in the API. Schemas Namespaces within a database used to organize synced tables. Custom objects is specific to Attio and Schemas to MotherDuck — each maps to any object or custom field on the other side.
People Standard person object; synced with marketing tools and warehouse person tables. Tables The main landing target for synced records and source for analysis. People is specific to Attio and Tables to MotherDuck — each maps to any object or custom field on the other side.

How changes propagate between Attio and MotherDuck

Each direction of the sync is driven by what the source system can signal and what the destination accepts — detection, delivery, and expected latency below.

Attio MotherDuck Sub-second propagation

DetectionAttio notifies Stacksync of record changes through webhook events. Webhooks on record and list-entry events, with polling as a fallback.

DeliveryEach detected change is applied to MotherDuck as a row-level write, with types converted between the two schemas.

MotherDuck Attio Interval-based propagation

DetectionStacksync polls MotherDuck for changes on an incremental schedule, reading only records changed since the previous pass. Polling.

DeliveryEach detected change is written to Attio through its API, with automatic retries and rate-limit backoff.

Rate-limit considerations

  • Attio: Subject to the platform's published API rate limits.
  • MotherDuck: Subject to the platform's compute and concurrency limits rather than per-request API rate limits.
What ships with Attio ⇄ MotherDuck

Connect Attio and MotherDuck for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Attio–MotherDuck connection.

Real-time

Two-way sync

Changes in Attio or MotherDuck instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Attio or MotherDuck data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.

At scale

Event queues

Handle millions of events per minute without losing a single Attio or MotherDuck record.

Observability

Monitoring

Track your Attio ⇄ MotherDuck sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Attio and MotherDuck.

How the Attio and MotherDuck connectors work

Attio

Integration surface
REST API
Authentication
Guided in-app connection ("Attio CRM" connection created in a few clicks, "without any coding required"); the docs do not name the underlying auth mechanism (OAuth vs API key)
Change detection
Webhooks on record and list-entry events, with polling as a fallback
Capabilities
read · write · webhooks
Rate limits
Subject to the platform's published API rate limits.
Attio setup guide

MotherDuck

Integration surface
SQL through DuckDB clients and drivers using a MotherDuck (md:) connection
Authentication
Access token created in MotherDuck (Settings > General > Create Token), pasted into Stacksync; database name and schema configurable if not using defaults
Change detection
Polling; no log-based CDC or webhook surface is exposed
Capabilities
read · write
Rate limits
Subject to the platform's compute and concurrency limits rather than per-request API rate limits
MotherDuck setup guide
How it works

How to connect Attio to MotherDuck — three steps, no code

Configure and sync within minutes, no code. Whether you sync 50k or 100M+ records, Stacksync handles the queues, infra, and plumbing. Integrations are non-invasive and need zero setup on your systems.

  1. 01

    Connect your apps

    Authenticate Attio and MotherDuck with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.

    • OAuth 2.0
    • SSH tunnel
    • VPC peering
    Attio connected
    MotherDuck connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Attio and MotherDuck objects to sync — Stacksync auto-detects both schemas, including custom fields where the platform exposes them. Sync to existing tables, or let Stacksync create new ones with ideal data types.

    • Standard objects
    • Custom objects
    • Auto-schema
    objects · Attio ⇄ MotherDuck
    Customers 12,480
    Sales Orders 8,213
    Invoices 5,902
    Items 1,344
  3. 03

    Map fields

    Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.

    • Auto-map
    • Type casting
    • Transforms
    Attio MotherDuck
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Attio and MotherDuck integration FAQ

SECURITY

Security teams trust Stacksync

As a data company, we understand the importance of keeping your data secure. Stacksync is built with security best practices to keep your data safe at every layer, and is DPF-certified for US, EU, UK and CH data transfers.

Learn more about security
SOC 2 Type II
ISO 27001
HIPAA BAA
GDPR
CCPA
CSA STAR
DPF US-EU-UK-CH
→ SECURITY WITH BENEFITS

SSO & SCIM

Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.

Alerts

Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.

Secure connection options

Securely connects to your systems with:

OAuth 2 SSH Tunnelling SSL certificates IP Whitelisting VPN gateway VPC peering and more

Related integrations

Every pair below is a real-time, two-way sync. Search all 392 integrations available for Attio and MotherDuck.

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