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Business productivity ⇄ Database

Customer.io to Postgres Heroku integration — real-time, two-way sync

Keep Customer.io 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 Customer.io and Postgres Heroku

Mirror Customer.io's data into Postgres Heroku so your own code can read and write it like any other table, with changes flowing both ways in seconds.

Engineers integrate with tools like Customer.io through APIs, which means auth, pagination, rate limits, webhooks, and retry logic, all maintained forever and all different for every tool. Meanwhile the data would be trivial to use if it simply lived in Postgres Heroku.

Stacksync mirrors Segments, Campaigns, Broadcasts, Deliveries / Messages from Customer.io into Schemas, Primary and Unique Keys, JSONB Columns, Sequences in Postgres Heroku and keeps both sides in sync in real time. Your services query the database directly, and inserts or updates your code makes flow back into Customer.io, so the tool and the database never disagree.

Common use cases

  • Push CRM segments and lead status into Customer.io so messaging respects sales stage.
  • Land delivery and engagement events (sent, opened, clicked, bounced) from reporting webhooks into a warehouse for attribution analysis.
  • Keep several Heroku app databases aligned with one system of record
  • Reflect billing and subscription records into the app database so product logic reads local rows

Automate Customer.io from your codebase

Write to the synced tables in Postgres Heroku and Stacksync propagates the change into Customer.io, replacing custom integration code.

React to changes as they happen

Updates in Customer.io arrive as row changes in Postgres Heroku, so triggers, jobs, and services can respond in near real time.

One integration pattern for the whole stack

Every synced tool looks the same from the database, so each new integration is configuration, not a new codebase.

What you can sync between Customer.io 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.

Customer.io objects Postgres Heroku objects
Events Behavioral events sent via the Track API that trigger campaigns. Views Read-side projections exposed to outbound syncs.
Segments Attribute- or event-based groups; data syncs feed the attributes segments evaluate. Materialized Views Precomputed result sets synced outward on refresh.
Campaigns Automated workflows whose membership and metrics can be read via the App API. Schemas Namespaces that scope which tables a sync reads and writes.
Broadcasts One-off sends to segments or audiences, triggerable via API. Primary and Unique Keys Match keys for idempotent upserts from connected systems.
Deliveries / Messages Per-recipient message records whose lifecycle events flow out through reporting webhooks. JSONB Columns Semi-structured payloads for nested SaaS objects and metadata.
Newsletters Recurring email sends with performance metrics available for reporting syncs. Sequences Generate surrogate keys for rows created by inbound syncs.
What ships with Customer.io ⇄ Postgres Heroku

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Customer.io 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 Customer.io or Postgres Heroku record.

Observability

Monitoring

Track your Customer.io ⇄ 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 Customer.io and Postgres Heroku.

How the Customer.io and Postgres Heroku connectors work

Customer.io

Integration surface
REST APIs split by purpose: Track API for data ingestion, App API for campaigns, people lookups, and messages
Authentication
Basic auth with site ID and API key for the Track API; bearer token for the App API
Change detection
Reporting webhooks push message and delivery events; person attribute changes are not streamed and require source-side detection
Capabilities
read · write · webhooks
Rate limits
Subject to per-API rate limits documented by Customer.io

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

    Choose tables

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

Customer.io 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 Customer.io and Postgres Heroku.

Popular · 8 of 386
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