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CRM ⇄ Database

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

Keep Kustomer 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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Why teams connect Kustomer and Postgres Heroku

Treat Kustomer 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 Tags, Notes, Customers, Conversations from Kustomer into Schemas, Primary and Unique Keys, JSONB Columns, Sequences in Postgres Heroku with real-time, bi-directional sync. Read CRM records with plain queries; write updates from your application and they appear in Kustomer 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 customers bi-directionally with the CRM and ERP so agents see deal, billing, and subscription context on the timeline
  • Push order and shipment records from commerce systems into Kustomer custom objects so agents answer order-status questions without switching tools
  • Reflect billing and subscription records into the app database so product logic reads local rows
  • Expose CRM objects as Postgres tables the Heroku application can query and join directly

Product events onto CRM records

Signup, usage, or lifecycle changes written to Postgres Heroku sync onto the matching records in Kustomer, 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 Kustomer API, limits, and retries.

Trigger workflows from CRM changes

Field and stage updates in Kustomer arrive as row changes in Postgres Heroku, ready to drive jobs and notifications.

What you can sync between Kustomer 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.

Kustomer objects Postgres Heroku objects
Notes Internal annotations carry context alongside synced conversations. Schemas Namespaces that scope which tables a sync reads and writes.
Customers The central record whose timeline aggregates every interaction; external attributes sync onto it. Primary and Unique Keys Match keys for idempotent upserts from connected systems.
Conversations Support threads across channels sync outward for analytics and CRM context. JSONB Columns Semi-structured payloads for nested SaaS objects and metadata.
Messages Individual messages within conversations support full-thread replication. Sequences Generate surrogate keys for rows created by inbound syncs.
Companies Organization records group customers and map to CRM accounts. Follower Databases Heroku-managed read replicas usable as low-impact sync sources.
Custom Objects (Klasses) Structured external records such as orders and subscriptions synced in to appear on the customer timeline. Tables Standard Postgres tables; the primary two-way sync target for app data.
What ships with Kustomer ⇄ Postgres Heroku

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Kustomer 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 Kustomer or Postgres Heroku record.

Observability

Monitoring

Track your Kustomer ⇄ 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 Kustomer and Postgres Heroku.

How the Kustomer and Postgres Heroku connectors work

Kustomer

Integration surface
REST API
Authentication
API key used as a bearer token, scoped by role
Change detection
Outbound webhooks on record events, plus polling for backfill
Capabilities
read · write · webhooks
Rate limits
Subject to the platform's API rate limits

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

    Choose tables

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

Kustomer 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 Kustomer and Postgres Heroku.

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