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Database ⇄ ERP

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

Keep Amazon Aurora 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

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Why teams connect Amazon Aurora and Infor M3

Give your engineers Infor M3's data in Amazon Aurora: 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 Manufacturing Orders, Inventory Balances, Invoices, Warehouses from Infor M3 into Amazon Aurora 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 Amazon Aurora sync back into Infor M3 with its validations respected.

Common use cases

  • Stream row-level changes from Aurora into a warehouse for near-real-time analytics without batch exports.
  • Consolidate several Aurora clusters into one reporting database.
  • 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

React to ERP changes

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

Where Infor M3 is the HR system of record: people data for internal systems

Worker and org records stay current in Amazon Aurora for provisioning, access, and reporting systems that read from the database.

Controlled write-back

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

What you can sync between Amazon Aurora 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.

Amazon Aurora objects Infor M3 objects
Read Replicas Reader endpoints that syncs can target to keep load off the writer. Customers Customer master records sync with CRM account records to keep one shared customer file.
Databases Logical databases within a cluster that scope a sync connection. Suppliers Supplier records align procurement tools with the vendors M3 purchases from.
Schemas Namespaces (PostgreSQL) or database-level grouping (MySQL) used in table selection. Customer Orders Orders created in commerce or CRM systems land in M3 for fulfillment and invoicing.
Tables Relational tables synced bi-directionally at row level. Purchase Orders PO headers and lines sync outward so buyers and receiving teams see the same demand.
Views Read-only query-backed sources for downstream syncs. Manufacturing Orders Production order status feeds portals and CRMs so promised dates reflect the shop floor.
Materialized Views Precomputed result sets (PostgreSQL-compatible clusters) readable as sources. Inventory Balances On-hand quantities by warehouse drive available-to-promise in downstream channels.
What ships with Amazon Aurora ⇄ Infor M3

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Amazon Aurora 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 Amazon Aurora or Infor M3 record.

Observability

Monitoring

Track your Amazon Aurora ⇄ 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 Amazon Aurora and Infor M3.

How the Amazon Aurora and Infor M3 connectors work

Amazon Aurora

Integration surface
MySQL or PostgreSQL wire protocol (SQL); optional RDS Data API over HTTPS
Authentication
Database credentials or IAM database authentication
Change detection
Log-based CDC: binlog on MySQL-compatible clusters, logical replication/decoding on PostgreSQL-compatible clusters; polling as a fallback
Capabilities
read · write · CDC
Rate limits
No API rate limits for wire-protocol access; throughput is bounded by instance class and connection limits

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 Amazon Aurora 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 Amazon Aurora 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
    Amazon Aurora connected
    Infor M3 connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Amazon Aurora 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 · Amazon Aurora ⇄ 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
    Amazon Aurora Infor M3
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Amazon Aurora 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 Amazon Aurora and Infor M3.

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