Skip to content
ERP ⇄ Database

Infor M3 to PostgreSQL integration — real-time, two-way sync

Keep Infor M3 and PostgreSQL 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

Case study
Migrated from Mulesoft
Case study
Migrated from Celigo
Migrated from Heroku Connect
Migrated from Matillion
Case study
Migrated from Fivetran
Case study
Migrated from Celigo
Why teams connect Infor M3 and PostgreSQL

Give your engineers Infor M3's data in PostgreSQL: read it with normal queries, write back through the sync, and skip the ERP API entirely.

ERP data sits behind interfaces built for the ERP's own modules, not for your internal systems. Teams that need those records, for reporting services, internal tools, or automations, end up writing integration code against a strict API and maintaining it through every upgrade.

Stacksync mirrors Warehouses, Price Lists, Items, Customers from Infor M3 into PostgreSQL and keeps both sides consistent in real time. Whatever Infor M3 is the system of record for, whether financials, operations, people, or procurement, those records become rows your code can query, and changes written in PostgreSQL sync back into Infor M3 with its validations respected.

Common use cases

  • Expose SaaS objects (CRM contacts, ERP invoices, support tickets) as Postgres tables that internal tools can query and join
  • Let an application write to its own database and have those rows appear as records in business systems in near real time
  • Sync M3 item master and inventory balances to commerce or CPQ systems so quotes price against live stock
  • Push orders captured in a CRM into M3 as customer orders without manual re-entry

Controlled write-back

Choose exactly which tables and fields may flow from PostgreSQL back into Infor M3, keeping the ERP authoritative.

Read ERP records with a query

Records from Infor M3 live in PostgreSQL as ordinary tables or collections, joinable with the rest of your data.

Internal tools and automations without API code

Scripts and services read and write the synced tables; Stacksync handles the Infor M3 interface, limits, and retries.

What you can sync between Infor M3 and PostgreSQL

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.

Infor M3 objects PostgreSQL objects
Price Lists Pricing data keeps quoting tools consistent with the prices M3 will actually invoice. Tables The primary sync target; rows map one-to-one to records in connected SaaS systems.
Items Item master records provide the SKU, unit, and attribute data other systems price and sell against. Views Read-side projections used to expose joined or filtered data to a sync.
Customers Customer master records sync with CRM account records to keep one shared customer file. Materialized Views Precomputed result sets synced outward on a refresh schedule.
Suppliers Supplier records align procurement tools with the vendors M3 purchases from. Schemas Namespaces that scope which tables a sync reads and writes.
Customer Orders Orders created in commerce or CRM systems land in M3 for fulfillment and invoicing. Columns Field-level mapping targets; types are mapped to the connected system's field types.
Purchase Orders PO headers and lines sync outward so buyers and receiving teams see the same demand. Primary and Unique Keys Used as match keys for idempotent upserts and conflict resolution.
What ships with Infor M3 ⇄ PostgreSQL

Connect Infor M3 and PostgreSQL for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Infor M3–PostgreSQL connection.

Real-time

Two-way sync

Changes in Infor M3 or PostgreSQL instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Infor M3 or PostgreSQL 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 Infor M3 or PostgreSQL record.

Observability

Monitoring

Track your Infor M3 ⇄ PostgreSQL sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Infor M3 and PostgreSQL.

How the Infor M3 and PostgreSQL connectors work

Infor M3

Integration surface
REST API (M3 API programs exposed through the Infor ION API gateway)
Authentication
OAuth 2.0 via Infor OS / ION API authorization
Change detection
Event publishing through Infor ION (Business Object Documents), configured in ION, or scheduled polling of API endpoints
Capabilities
read · write · webhooks
Rate limits
Subject to Infor ION API gateway throttling policies

PostgreSQL

Integration surface
SQL wire protocol (PostgreSQL frontend/backend protocol)
Authentication
Database credentials (connection string or parameters), with optional SSL root certificate upload and optional SSH tunnel (SSH user + host); a least-privilege DB user
Change detection
Logical replication (wal_level = logical) for change data capture via the "Postgres" connector; database triggers (TRIGGER grant + stacksync_logging schema) via the trigger-based "Postgres Heroku" connector where
Capabilities
read · write · CDC
Rate limits
No API rate limits; throughput is bounded by connection limits, instance resources, and replication slot throughput
PostgreSQL setup guide
How it works

How to connect Infor M3 to PostgreSQL — 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 Infor M3 and PostgreSQL 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
    Infor M3 connected
    PostgreSQL connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Infor M3 and PostgreSQL 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 · Infor M3 ⇄ PostgreSQL
    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
    Infor M3 PostgreSQL
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
Try interactive demo
FAQ

Infor M3 and PostgreSQL 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 Infor M3 and PostgreSQL.

Popular · 8 of 386
All Infor M3 integrations All PostgreSQL integrations Browse all integrations
Coworkers laughing in front of a laptop in a casual office setting

Your last integration took months.
Your next one takes a prompt.

Book a demo Tour the platform on your own