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Database ⇄ ERP

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

Keep Amazon RDS 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 RDS and Infor M3

Give your engineers Infor M3's data in Amazon RDS: 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 Customers, Suppliers, Customer Orders, Purchase Orders from Infor M3 into Amazon RDS 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 RDS sync back into Infor M3 with its validations respected.

Common use cases

  • Use a read replica as the sync source to keep change capture load off the primary instance
  • Bi-directional sync between an RDS database and a CRM so application data and sales data stay consistent without custom integration code
  • Keep supplier and purchase order data aligned between M3 and procurement tools
  • Consolidate M3 transactional data into an analytics database for cross-plant reporting

Read ERP records with a query

Records from Infor M3 live in Amazon RDS 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 Amazon RDS, so jobs and triggers can respond as the business record changes.

What you can sync between Amazon RDS 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 RDS objects Infor M3 objects
Schemas Namespaces within a database used to isolate synced tables. Warehouses Warehouse and facility records scope inventory and order data during mapping.
Tables The core sync target; rows map to records in connected SaaS systems. Price Lists Pricing data keeps quoting tools consistent with the prices M3 will actually invoice.
Views Read-side projections exposed to outbound syncs. Items Item master records provide the SKU, unit, and attribute data other systems price and sell against.
Columns Field-level mapping targets, typed per the underlying engine. Customers Customer master records sync with CRM account records to keep one shared customer file.
Primary and Unique Keys Match keys for idempotent upserts. Suppliers Supplier records align procurement tools with the vendors M3 purchases from.
Read Replicas Low-impact read endpoints often used as the source side of a sync. Customer Orders Orders created in commerce or CRM systems land in M3 for fulfillment and invoicing.
What ships with Amazon RDS ⇄ Infor M3

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

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

Real-time

Two-way sync

Changes in Amazon RDS 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 RDS 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 RDS or Infor M3 record.

Observability

Monitoring

Track your Amazon RDS ⇄ 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 RDS and Infor M3.

How the Amazon RDS and Infor M3 connectors work

Amazon RDS

Integration surface
SQL wire protocol of the chosen engine (PostgreSQL, MySQL, MariaDB, SQL Server, Oracle)
Authentication
Database credentials over SSL/TLS, or IAM database authentication on supported engines
Change detection
Engine-native log-based CDC: MySQL/MariaDB binlog, PostgreSQL logical replication, SQL Server CDC; enabled through RDS parameter groups, with polling as a fallback
Capabilities
read · write · CDC
Rate limits
No API rate limits; throughput depends on instance class, storage IOPS, 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 RDS 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 RDS 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 RDS connected
    Infor M3 connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

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

Amazon RDS 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 RDS and Infor M3.

Popular · 8 of 386
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