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CRM ⇄ Database

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

Keep Intercom 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.

  • 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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Migrated from Mulesoft
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Migrated from Celigo
Migrated from Heroku Connect
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Migrated from Fivetran
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Migrated from Celigo
Why teams connect Intercom and Postgres Heroku

Treat Intercom 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 Tickets, Data Events, Custom Data Attributes, Tags from Intercom 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 Intercom 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

  • Push product usage events from an application database into Intercom to trigger onboarding and retention messages
  • Mirror conversations and tickets into a warehouse for support analytics and SLA reporting
  • Sync Heroku Postgres into a warehouse for reporting without running ETL dynos
  • Keep several Heroku app databases aligned with one system of record

Query the CRM like a database

Accounts, contacts, and custom objects from Intercom 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 Intercom, 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 Intercom API, limits, and retries.

What you can sync between Intercom 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.

Intercom objects Postgres Heroku objects
Data Events Behavioral events pushed in from product databases trigger messages and flows. Views Read-side projections exposed to outbound syncs.
Custom Data Attributes Typed custom fields on contacts and companies hold synced billing and usage data. Materialized Views Precomputed result sets synced outward on refresh.
Tags Labels applied to contacts, companies, and conversations sync for routing and reporting. Schemas Namespaces that scope which tables a sync reads and writes.
Segments Saved audience definitions are readable for targeting parity across tools. Primary and Unique Keys Match keys for idempotent upserts from connected systems.
Admins & Teams Teammate records map conversation ownership to CRM users. JSONB Columns Semi-structured payloads for nested SaaS objects and metadata.
Articles Help center content is accessible via API for knowledge sync and audits. Sequences Generate surrogate keys for rows created by inbound syncs.
What ships with Intercom ⇄ Postgres Heroku

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Intercom 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 Intercom or Postgres Heroku record.

Observability

Monitoring

Track your Intercom ⇄ 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 Intercom and Postgres Heroku.

How the Intercom and Postgres Heroku connectors work

Intercom

Integration surface
REST API
Authentication
OAuth 2.0 for public apps or a workspace access token
Change detection
Webhook topic subscriptions for contact, company, and conversation events, plus polling for backfill
Capabilities
read · write · webhooks
Rate limits
Subject to per-app rate limits on the Intercom API

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 Intercom 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 Intercom 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
    Intercom connected
    Postgres Heroku connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Intercom 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 · Intercom ⇄ 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
    Intercom Postgres Heroku
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
FAQ

Intercom and Postgres Heroku 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 Intercom and Postgres Heroku.

Popular · 8 of 386
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