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E-commerce ⇄ Database

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

Keep Magento 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 Magento and Postgres Heroku

Give your engineers Magento's products, orders, and customers in Postgres Heroku: read them with normal queries, write inventory and prices back through the sync, and skip the storefront API.

E-commerce data sits behind an API built for the storefront, not for your internal systems. Teams that need those records, for order routing, inventory logic, reporting, or back-office tools, end up writing integration code against a rate-limited API and maintaining it through every catalog change and platform upgrade.

Stacksync mirrors Invoices, Shipments, Carts / quotes, Products from Magento into Postgres Heroku and keeps both sides consistent in real time. Whatever Magento holds, whether products, orders, customers, or inventory, those records become rows your code can query, and changes written in Postgres Heroku, such as new prices, stock levels, or fulfillment status, sync back into Magento with its validations respected.

Merchandising and operations keep working in the storefront, engineers keep working in the database, and neither side has to reconcile against a nightly export.

Common use cases

  • 01 Reflect billing and subscription records into the app database so product logic reads local rows
  • 02 Expose CRM objects as Postgres tables the Heroku application can query and join directly
  • 03 Read new Orders to trigger provisioning, accounting, or 3PL fulfillment in an operational database as they are placed.
  • 04 Sync Orders, invoices, and shipments from Magento into Postgres or a warehouse for revenue, margin, and fulfillment-SLA reporting.

Common sync patterns

Order data where your code can use it

Orders and their status become rows in Postgres Heroku for routing, fulfillment, and reporting, without polling the platform.

Controlled write-back

Choose exactly which tables and fields may flow from Postgres Heroku back into Magento, keeping the store authoritative on what it owns.

Read the store's data with a query

Records from Magento, whether products, orders, customers, or inventory, live in Postgres Heroku as ordinary tables or collections, joinable with the rest of your data.

What you can sync between Magento 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.

Magento objects Postgres Heroku objects How this pairing syncs
Carts / quotes Active and guest carts (quotes) with items and totals; read for abandoned-cart analysis (not available on the Cloud Service subset). Primary and Unique Keys Match keys for idempotent upserts from connected systems. Carts / quotes is specific to Magento and Primary and Unique Keys to Postgres Heroku — each maps to any object or custom field on the other side.
Products Catalog items keyed by SKU; carry created_at/updated_at for incremental polling and are written two-way from a PIM or ERP into the storefront. JSONB Columns Semi-structured payloads for nested SaaS objects and metadata. Products is specific to Magento and JSONB Columns to Postgres Heroku — each maps to any object or custom field on the other side.
Configurable / variant products Parent configurable products link to simple product variants by attribute; synced so size/color SKUs and their prices stay aligned with source systems. Sequences Generate surrogate keys for rows created by inbound syncs. Configurable / variant products is specific to Magento and Sequences to Postgres Heroku — each maps to any object or custom field on the other side.
Categories Catalog tree and product-to-category assignments; written into Magento to control merchandising and read out for taxonomy reporting. Follower Databases Heroku-managed read replicas usable as low-impact sync sources. Categories is specific to Magento and Follower Databases to Postgres Heroku — each maps to any object or custom field on the other side.
Orders Sales orders with line items, totals, and status; typically read out of Magento into a warehouse or ERP for fulfillment and revenue reporting. Tables Standard Postgres tables; the primary two-way sync target for app data. Orders is specific to Magento and Tables to Postgres Heroku — each maps to any object or custom field on the other side.
Customers Customer accounts and address book; synced two-way with a CRM so order history and contact records stay consistent. Views Read-side projections exposed to outbound syncs. Customers is specific to Magento and Views to Postgres Heroku — each maps to any object or custom field on the other side.

How changes propagate between Magento 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.

Magento Postgres Heroku Sub-second propagation

DetectionMagento notifies Stacksync of record changes through webhook events. Polling with searchCriteria filters on updated_at (catalog, sales, and customer entities carry created_at/updated_at).

DeliveryEach detected change is applied to Postgres Heroku as a row-level write, with types converted between the two schemas.

Postgres Heroku Magento 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 Magento through its API, with automatic retries and rate-limit backoff.

Rate-limit considerations

  • Magento: No fixed request-per-minute cap on PaaS/on-prem; responses page via searchCriteria pageSize/currentPage under a default maximum page size of 300 (Web API Input Limits), with /async/bulk endpoints for large writes.
  • Postgres Heroku: No API rate limits; connection counts and performance are bounded by the Heroku Postgres plan.
What ships with Magento ⇄ Postgres Heroku

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Magento 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 Magento or Postgres Heroku record.

Observability

Monitoring

Track your Magento ⇄ 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 Magento and Postgres Heroku.

How the Magento and Postgres Heroku connectors work

Magento

Integration surface
REST and GraphQL Web APIs (SOAP also available)
Authentication
Token-based OAuth: an integration's access token (consumer key/secret + access token/secret) or a Bearer admin token (default 4-hour expiry); Adobe Commerce as a Cloud Service authenticates via Adobe IMS (OAuth 2)
Change detection
Polling with searchCriteria filters on updated_at (catalog, sales, and customer entities carry created_at/updated_at); optional near-real-time via the Adobe Commerce Webhooks / Adobe I/O Events modules (order/created, product/updated, customer/created)
Capabilities
read · write · webhooks
Rate limits
No fixed request-per-minute cap on PaaS/on-prem; responses page via searchCriteria pageSize/currentPage under a default maximum page size of 300 (Web API Input Limits), with /async/bulk endpoints for large writes.

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

    Choose tables

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

Magento 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
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 406 integrations available for Magento and Postgres Heroku.

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