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Database ⇄ CRM

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

Keep Postgres Heroku and Shopify 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 Postgres Heroku and Shopify

Treat Shopify 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 Customers, Abandoned Checkouts, Products, ProductMedias from Shopify 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 Shopify 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

  • Mirror the product catalog from a PIM or database into Shopify products, variants, and metafields.
  • Sync orders, customers, and inventory into Postgres for operational reporting across stores.
  • 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 Shopify 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 Shopify, 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 Shopify API, limits, and retries.

What you can sync between Postgres Heroku and Shopify

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.

Postgres Heroku objects Shopify objects
Sequences Generate surrogate keys for rows created by inbound syncs. ProductMedias Synced with incremental and full sync per the Stacksync docs.
Follower Databases Heroku-managed read replicas usable as low-impact sync sources. ProductVariants Synced with incremental and full sync per the Stacksync docs.
Tables Standard Postgres tables; the primary two-way sync target for app data. Orders Purchase transactions; pushed to ERPs for fulfillment and billing, and read into databases for reporting.
Views Read-side projections exposed to outbound syncs. Customers Buyer records; matched to CRM contacts for marketing and lifetime-value analysis.
Materialized Views Precomputed result sets synced outward on refresh. Abandoned Checkouts Synced with incremental and full sync per the Stacksync docs.
Schemas Namespaces that scope which tables a sync reads and writes. Products Catalog entries; often mastered in a PIM or ERP and written into Shopify.
What ships with Postgres Heroku ⇄ Shopify

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

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

Observability

Monitoring

Track your Postgres Heroku ⇄ Shopify sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Postgres Heroku and Shopify.

How the Postgres Heroku and Shopify connectors work

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

Shopify

Integration surface
GraphQL Admin API (primary) and REST Admin API (legacy)
Authentication
OAuth via a custom Shopify app: admin creates an app in the Shopify Dev Dashboard, enables required API scopes, sets the Stacksync redirect URL, then supplies shop name + Client ID and Client Secret to Stacksync
Change detection
Webhook topics per resource, with polling on updated_at as a fallback
Capabilities
read · write · webhooks
Rate limits
GraphQL uses a calculated query-cost budget; the REST API uses a leaky-bucket model.
Shopify setup guide
How it works

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

    Choose tables

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

Postgres Heroku and Shopify 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.

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 386 integrations available for Postgres Heroku and Shopify.

Popular · 8 of 386
All Postgres Heroku integrations All Shopify integrations Browse all integrations
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