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CRM ⇄ Database

Attio to Postgres Heroku integration — real-time, two-way sync

Keep Attio and Postgres Heroku 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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Adopted by fast-scaling companies moving mission-critical data in real time

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Why teams connect Attio and Postgres Heroku

Treat Attio like part of your database: its records live in Postgres Heroku 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 Postgres Heroku, where it can be queried and joined like everything else.

Stacksync mirrors Deals, Workspaces, Custom objects, People from Attio into Tables, Views, Materialized Views, Schemas in Postgres Heroku 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 Sync companies, people, and deals with Postgres so ops teams enrich and update CRM records with SQL.
  • 02 Write product usage and enrichment data into Attio attributes so GTM teams work from live account signals.
  • 03 Sync Heroku Postgres into a warehouse for reporting without running ETL dynos
  • 04 Keep several Heroku app databases aligned with one system of record

Common sync patterns

Query the CRM like a database

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

Product events onto CRM records

Signup, usage, or lifecycle changes written to Postgres Heroku sync onto the matching records in Attio, giving go-to-market teams live product context.

Internal tools without API code

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

What you can sync between Attio and Postgres Heroku

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 Postgres Heroku objects How this pairing syncs
Users Synced with incremental and full sync per the Stacksync docs. Materialized Views Precomputed result sets synced outward on refresh. Users is specific to Attio and Materialized Views to Postgres Heroku — 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. Schemas Namespaces that scope which tables a sync reads and writes. Deals is specific to Attio and Schemas to Postgres Heroku — each maps to any object or custom field on the other side.
Workspaces Synced with incremental and full sync per the Stacksync docs. Primary and Unique Keys Match keys for idempotent upserts from connected systems. Workspaces is specific to Attio and Primary and Unique Keys to Postgres Heroku — 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. JSONB Columns Semi-structured payloads for nested SaaS objects and metadata. Custom objects is specific to Attio and JSONB Columns to Postgres Heroku — each maps to any object or custom field on the other side.
People Standard person object; synced with marketing tools and warehouse person tables. Sequences Generate surrogate keys for rows created by inbound syncs. People is specific to Attio and Sequences to Postgres Heroku — each maps to any object or custom field on the other side.
Companies Standard company object; matched to billing and product accounts in two-way syncs. Follower Databases Heroku-managed read replicas usable as low-impact sync sources. Companies is specific to Attio and Follower Databases to Postgres Heroku — each maps to any object or custom field on the other side.

How changes propagate between Attio and Postgres Heroku

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

Postgres Heroku Attio Interval-based propagation

DetectionStacksync polls Postgres Heroku for changes on an incremental schedule, reading only records changed since the previous pass. Trigger-based capture or polling in most configurations.

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.
  • Postgres Heroku: No API rate limits; connection counts and performance are bounded by the Heroku Postgres plan.
What ships with Attio ⇄ Postgres Heroku

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Attio or Postgres Heroku 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 Postgres Heroku record.

Observability

Monitoring

Track your Attio ⇄ Postgres Heroku 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 Postgres Heroku.

How the Attio and Postgres Heroku 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

Postgres Heroku

Integration surface
SQL wire protocol (standard PostgreSQL)
Authentication
Database credentials from the Heroku DATABASE_URL config var; SSL required
Change detection
Trigger-based capture or polling in most configurations; log-based logical replication availability depends on plan and Heroku's managed server settings
Capabilities
read · write
Rate limits
No API rate limits; connection counts and performance are bounded by the Heroku Postgres plan
How it works

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

    Choose tables

    Pick the Attio and Postgres Heroku 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 ⇄ Postgres Heroku
    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 Postgres Heroku
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
Try interactive demo
FAQ

Attio and Postgres Heroku 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 472 integrations available for Attio and Postgres Heroku.

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