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Data warehouse ⇄ ERP

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

Keep Amazon Redshift 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 Redshift and Infor M3

Put Infor M3's records in Amazon Redshift as live tables for reporting and analysis, without extract jobs, and write results back where Infor M3 can use them.

ERP data is some of the most asked-for data in the warehouse and some of the hardest to get: the record types are many, the APIs are strict, and extract jobs are brittle. Whether Infor M3 carries financials, operations, workforce data, or all three, the analysis belongs in Amazon Redshift next to everything else the company measures.

Stacksync syncs Customer Orders, Purchase Orders, Manufacturing Orders, Inventory Balances from Infor M3 into tables in Amazon Redshift continuously, managing API limits and schema drift along the way. The connection is bi-directional, so values computed in Amazon Redshift can be written back to fields in Infor M3 where that is useful.

Common use cases

  • Centralize CRM, ERP, and product data in Redshift so analysts join it with warehouse tables.
  • Publish finance rollups computed in Redshift back to spreadsheets or operational tools.
  • 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

Where Infor M3 is the HR system of record: workforce analytics

Worker and organization data syncs into Amazon Redshift for headcount, cost, and planning analysis alongside other company data.

Where Infor M3 runs operations: order and supply analysis

Operational records become queryable tables in Amazon Redshift, joinable with sales and finance data.

Group reporting across systems

Combine Infor M3's records with data synced from other systems in Amazon Redshift for consolidated views no single system can produce.

What you can sync between Amazon Redshift 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 Redshift objects Infor M3 objects
Stored Procedures SQL procedures sometimes invoked around load steps. Price Lists Pricing data keeps quoting tools consistent with the prices M3 will actually invoice.
Users and Groups Principals used to grant a sync connection scoped access. Items Item master records provide the SKU, unit, and attribute data other systems price and sell against.
Databases Top-level containers within a cluster or serverless workgroup. Customers Customer master records sync with CRM account records to keep one shared customer file.
Schemas Namespaces used to organize synced tables and control grants. Suppliers Supplier records align procurement tools with the vendors M3 purchases from.
Tables Columnar tables used as sync destinations for SaaS and database data. Customer Orders Orders created in commerce or CRM systems land in M3 for fulfillment and invoicing.
Views SQL views readable as modeled sources for reverse syncs. Purchase Orders PO headers and lines sync outward so buyers and receiving teams see the same demand.
What ships with Amazon Redshift ⇄ Infor M3

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

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

Real-time

Two-way sync

Changes in Amazon Redshift 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 Redshift 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 Redshift or Infor M3 record.

Observability

Monitoring

Track your Amazon Redshift ⇄ 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 Redshift and Infor M3.

How the Amazon Redshift and Infor M3 connectors work

Amazon Redshift

Integration surface
SQL over JDBC/ODBC (PostgreSQL-derived protocol); Redshift Data API over HTTPS
Authentication
Database credentials or IAM-based authentication
Change detection
Polling or query-based diffing; Redshift does not expose a transaction log for external CDC consumers
Capabilities
read · write
Rate limits
Bounded by cluster or serverless capacity and concurrency settings rather than API quotas

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

    Choose tables

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

Amazon Redshift 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 Redshift and Infor M3.

Popular · 8 of 386
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