Skip to content
Database ⇄ ERP

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

Keep AWS Aurora PostgreSQL and Infor M3 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 AWS Aurora PostgreSQL and Infor M3

Give your engineers Infor M3's data in AWS Aurora 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 Items, Customers, Suppliers, Customer Orders from Infor M3 into AWS Aurora 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 AWS Aurora PostgreSQL sync back into Infor M3 with its validations respected.

Common use cases

  • Expose ERP records such as customers, orders, and invoices as Postgres tables the engineering team can query and update with plain SQL.
  • Capture row-level changes with logical replication and propagate them to SaaS tools without batch jobs.
  • Mirror M3 customers and invoices into a CRM or warehouse so sales and finance share one AR view
  • Feed manufacturing order status to a customer portal for order tracking in fashion, food, or equipment supply chains

Read ERP records with a query

Records from Infor M3 live in AWS Aurora 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.

React to ERP changes

Updates in Infor M3 arrive as row changes in AWS Aurora PostgreSQL, so jobs and triggers can respond as the business record changes.

What you can sync between AWS Aurora PostgreSQL and Infor M3

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.

AWS Aurora PostgreSQL objects Infor M3 objects
Columns Rich Postgres types including JSONB and arrays are mapped to the paired system's fields. Invoices Billing documents flow to finance and CRM tools for AR visibility.
Primary keys and constraints Identify rows for upserts and enforce integrity on sync writes. Warehouses Warehouse and facility records scope inventory and order data during mapping.
Views and materialized views Usable as read-only sources for filtered or precomputed sync datasets. Price Lists Pricing data keeps quoting tools consistent with the prices M3 will actually invoice.
Foreign keys Relationship metadata that syncs can translate into object references elsewhere. Items Item master records provide the SKU, unit, and attribute data other systems price and sell against.
Replication slots and publications The logical replication objects that power log-based CDC. Customers Customer master records sync with CRM account records to keep one shared customer file.
Databases and schemas PostgreSQL's two-level namespace scopes which tables a sync connection targets. Suppliers Supplier records align procurement tools with the vendors M3 purchases from.
What ships with AWS Aurora PostgreSQL ⇄ Infor M3

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

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

Observability

Monitoring

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

Trading partners

EDI

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

How the AWS Aurora PostgreSQL and Infor M3 connectors work

AWS Aurora PostgreSQL

Integration surface
SQL wire protocol (PostgreSQL-compatible), standard Postgres drivers and JDBC
Authentication
Database credentials, optionally AWS IAM database authentication, over TLS
Change detection
Log-based CDC via PostgreSQL logical replication (WAL decoding through replication slots), with timestamp polling as a fallback
Capabilities
read · write · CDC

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
How it works

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

    Choose tables

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

AWS Aurora PostgreSQL and Infor M3 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 AWS Aurora PostgreSQL and Infor M3.

Popular · 8 of 386
All AWS Aurora PostgreSQL integrations All Infor M3 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