Skip to content
CRM ⇄ Database

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

Keep Attio and DuckDB 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

Case study
Migrated from Mulesoft
Case study
Migrated from Celigo
Migrated from Heroku Connect
Migrated from Matillion
Case study
Migrated from Fivetran
Case study
Migrated from Celigo
Why teams connect Attio and DuckDB

Treat Attio like part of your database: its records live in DuckDB as real tables, and writes in either place sync to the other in seconds.

Product and engineering teams constantly need CRM data, and the CRM API is a poor way to get it: rate limits, pagination, custom objects, and integration code that breaks when an admin renames a field. What they actually want is the data in DuckDB, where it can be queried and joined like everything else.

Stacksync mirrors Workspaces, Custom objects, People, Companies from Attio into Tables, Views, External files (Parquet/CSV/JSON), Attached databases in DuckDB with real-time, bi-directional sync. Read CRM records with plain queries; write updates from your application and they appear in Attio with validation intact. Go-to-market teams keep working in the CRM, engineers keep working in the database, and neither has to think about the other.

Common use cases

  • Sync companies, people, and deals with Postgres so ops teams enrich and update CRM records with SQL.
  • Write product usage and enrichment data into Attio attributes so GTM teams work from live account signals.
  • Sync SaaS data to Parquet on object storage and query it with DuckDB without standing up a warehouse.
  • Push aggregates computed in DuckDB out to a CRM or business tools so analysis results reach operational systems.

Internal tools without API code

Back-office apps read and write the synced tables; Stacksync handles the Attio API, limits, and retries.

Trigger workflows from CRM changes

Field and stage updates in Attio arrive as row changes in DuckDB, ready to drive jobs and notifications.

Query the CRM like a database

Accounts, contacts, and custom objects from Attio become tables in DuckDB you can join with application data directly.

What you can sync between Attio and DuckDB

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 DuckDB objects
Custom objects Workspace-defined objects that behave like standard ones in the API. Tables Columnar tables created via SQL; the destination for materialized sync data.
People Standard person object; synced with marketing tools and warehouse person tables. Views SQL views used to shape or filter data for downstream consumers.
Companies Standard company object; matched to billing and product accounts in two-way syncs. External files (Parquet/CSV/JSON) Files DuckDB queries in place without loading, common as a sync interchange format.
Users Synced with incremental and full sync per the Stacksync docs. Attached databases Additional database files or external systems attached into one session for cross-source queries.
Deals Pipeline records; read out for revenue reporting and written to from automation. Database files Single-file .duckdb databases that jobs read and write directly on disk or object storage.
Workspaces Synced with incremental and full sync per the Stacksync docs. Schemas Namespaces within a database used to organize tables in sync outputs.
What ships with Attio ⇄ DuckDB

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Attio or DuckDB 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 DuckDB record.

Observability

Monitoring

Track your Attio ⇄ DuckDB 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 DuckDB.

How the Attio and DuckDB 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

DuckDB

Integration surface
In-process SQL engine via client libraries (Python, Node.js, JDBC, CLI); no server or network API by default
Authentication
None built in; access control is file-system level (MotherDuck adds token auth for its hosted service)
Change detection
Polling or full re-reads; no change feed or transaction log API
Capabilities
read · write
Rate limits
No API rate limits; throughput is bounded by local compute and I/O
How it works

How to connect Attio to DuckDB — 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 DuckDB 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
    DuckDB connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Attio and DuckDB 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 ⇄ DuckDB
    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 DuckDB
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
FAQ

Attio and DuckDB integration FAQ

SECURITY

Security teams love 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.

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:

Related integrations

Every pair below is a real-time, two-way sync. Search all 386 integrations available for Attio and DuckDB.

Popular · 8 of 386
Coworkers laughing in front of a laptop in a casual office setting

Your last integration took months.
Your next one takes a prompt.