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CRM ⇄ Database

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

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

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  • 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 PostgreSQL

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

Syncing Attio to PostgreSQL gives product and engineering teams an operational mirror of the CRM: People, Companies, and Deals land in Postgres Tables where they can be queried with SQL, joined against product data, and served to internal applications. Writes back to Attio let those same systems update CRM records without touching the Attio API.

Stacksync mirrors Deals, Workspaces, Custom objects, People from Attio into Sequences, Custom Types and Enums, Tables, Views in PostgreSQL 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

  • 01 Join Attio Companies against product usage tables in Postgres to flag expansion-ready accounts.
  • 02 Power internal tools that read and write Attio Deals through standard SQL instead of API integration code.
  • 03 Enforce data quality with Primary and Unique Keys on synced tables, catching duplicate People before they spread.
  • 04 Run a two-way dual-run when migrating to Attio from another CRM.

Common sync patterns

CRM as SQL

Attio People, Companies, and Deals sync into PostgreSQL Tables under a dedicated Schema for querying and joins.

Reverse ETL to the CRM

rows updated in Postgres, such as computed account scores, write back to the matching Attio Company or Custom object.

Analytics-ready views

build PostgreSQL Views and Materialized Views over synced Deal data for dashboards without hitting Attio rate limits.

What you can sync between Attio and PostgreSQL

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 PostgreSQL objects How this pairing syncs
Companies Standard company object; matched to billing and product accounts in two-way syncs. JSONB Columns Hold semi-structured payloads such as nested SaaS objects or metadata. Companies is specific to Attio and JSONB Columns to PostgreSQL — each maps to any object or custom field on the other side.
Users Synced with incremental and full sync per the Stacksync docs. Sequences Generate surrogate keys for rows created by inbound syncs. Users is specific to Attio and Sequences to PostgreSQL — 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. Custom Types and Enums Constrain synced values to a fixed set, mirroring picklist fields. Deals is specific to Attio and Custom Types and Enums to PostgreSQL — each maps to any object or custom field on the other side.
Workspaces Synced with incremental and full sync per the Stacksync docs. Tables The primary sync target; rows map one-to-one to records in connected SaaS systems. Workspaces is specific to Attio and Tables to PostgreSQL — 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. Views Read-side projections used to expose joined or filtered data to a sync. Custom objects is specific to Attio and Views to PostgreSQL — each maps to any object or custom field on the other side.
People Standard person object; synced with marketing tools and warehouse person tables. Materialized Views Precomputed result sets synced outward on a refresh schedule. People is specific to Attio and Materialized Views to PostgreSQL — each maps to any object or custom field on the other side.

How changes propagate between Attio and PostgreSQL

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 PostgreSQL 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 PostgreSQL as a row-level write, with types converted between the two schemas.

PostgreSQL Attio Sub-second propagation

DetectionChanges in PostgreSQL are captured at the source via change data capture — no polling loop against its API. Logical replication (wal_level = logical) for change data capture via the "Postgres" connector.

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.
  • PostgreSQL: No API rate limits; throughput is bounded by connection limits, instance resources, and replication slot throughput.
What ships with Attio ⇄ PostgreSQL

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Attio or PostgreSQL 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 PostgreSQL record.

Observability

Monitoring

Track your Attio ⇄ PostgreSQL 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 PostgreSQL.

How the Attio and PostgreSQL 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

PostgreSQL

Integration surface
SQL wire protocol (PostgreSQL frontend/backend protocol)
Authentication
Database credentials (connection string or parameters), with optional SSL root certificate upload and optional SSH tunnel (SSH user + host); a least-privilege DB user
Change detection
Logical replication (wal_level = logical) for change data capture via the "Postgres" connector; database triggers (TRIGGER grant + stacksync_logging schema) via the trigger-based "Postgres Heroku" connector where
Capabilities
read · write · CDC
Rate limits
No API rate limits; throughput is bounded by connection limits, instance resources, and replication slot throughput
PostgreSQL setup guide
How it works

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

    Choose tables

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

Attio and PostgreSQL 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
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 569 integrations available for Attio and PostgreSQL.

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