Real-time
Two-way sync
Changes in Infor M3 or Materialize instantly reflect in both systems. No stale data, no manual imports.
ERP ⇄ Data warehouse
Infor M3 to Materialize integration — real-time, two-way sync
Keep Infor M3 and Materialize 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 Materialize
Put Infor M3's records in Materialize 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 Materialize next to everything else the company measures.
Stacksync syncs Items, Customers, Suppliers, Customer Orders from Infor M3 into tables in Materialize continuously, managing API limits and schema drift along the way. The connection is bi-directional, so values computed in Materialize can be written back to fields in Infor M3 where that is useful.
Common use cases
- Drive alerting and operational tooling from SUBSCRIBE change streams instead of scheduled queries.
- Maintain real-time inventory, usage, or account-health counters consumed by customer-facing applications.
- Push orders captured in a CRM into M3 as customer orders without manual re-entry
- Mirror M3 customers and invoices into a CRM or warehouse so sales and finance share one AR view
Where Infor M3 holds the books: finance reporting from live data
Financial records land in Materialize as they change, so period-end reporting queries current numbers rather than last night's extract.
Where Infor M3 is the HR system of record: workforce analytics
Worker and organization data syncs into Materialize 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 Materialize, joinable with sales and finance data.
What you can sync between Infor M3 and Materialize
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 | Materialize objects | |
|---|---|---|
| Invoices Billing documents flow to finance and CRM tools for AR visibility. | Sources Ingestion points (Kafka, Postgres CDC, MySQL CDC, webhook) that feed external data into Materialize. | |
| Warehouses Warehouse and facility records scope inventory and order data during mapping. | Materialized Views Incrementally maintained query results that syncs read as continuously up-to-date datasets. | |
| Price Lists Pricing data keeps quoting tools consistent with the prices M3 will actually invoice. | Sinks Outbound connections that emit view changes to Kafka topics. | |
| Items Item master records provide the SKU, unit, and attribute data other systems price and sell against. | Indexes In-memory arrangements that make view reads fast for serving workloads. | |
| Customers Customer master records sync with CRM account records to keep one shared customer file. | Clusters Compute pools that isolate ingestion, view maintenance, and serving. | |
| Suppliers Supplier records align procurement tools with the vendors M3 purchases from. | Connections & Secrets Stored credentials and endpoints used by sources and sinks. |
What ships with Infor M3 ⇄ Materialize
Connect Infor M3 and Materialize for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Infor M3–Materialize connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Infor M3 or Materialize 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 Materialize record.
Observability
Monitoring
Track your Infor M3 ⇄ Materialize 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 Materialize.
How the Infor M3 and Materialize 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
Materialize
- Integration surface
- PostgreSQL wire protocol (SQL)
- Authentication
- Database credentials (username/password; app passwords in the managed cloud service)
- Change detection
- SUBSCRIBE queries stream row-level changes of any view or table to the client
- Capabilities
- read · write · CDC
How it works
How to connect Infor M3 to Materialize — 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.
- 01
Connect your apps
Authenticate Infor M3 and Materialize with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Infor M3
connected
Materialize
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Infor M3 and Materialize 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.
objects · Infor M3 ⇄ MaterializeCustomers 12,480Sales Orders 8,213Invoices 5,902Items 1,344 - 03
Map fields
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Infor M3 MaterializeCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Infor M3 and Materialize integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between Infor M3 and Materialize: authenticate both systems, choose the objects to sync (such as Infor M3's Invoices and Warehouses), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Materialize: Materialize speaks the PostgreSQL wire protocol, so standard Postgres drivers and tools connect without a custom client. Infor M3: Infor ION can publish standard Business Object Documents (for example sales orders and item master changes) as events for downstream consumers, giving an event-based alternative to polling once configured in ION. Stacksync's field mapping accounts for these differences between Infor M3 and Materialize without custom code.
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Stacksync is SOC 2 Type II and ISO 27001 certified with HIPAA BAA support. Data is encrypted in transit, and a zero-persistent-storage architecture means Infor M3 and Materialize records are not retained after a sync operation.
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Stacksync pricing is usage-based and starts at $1,000/month, including the managed Infor M3 and Materialize connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Infor M3–Materialize integration in-house.
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Yes — Stacksync ships production-grade connectors for both Infor M3 and Materialize. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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Change detection on Infor M3: Event publishing through Infor ION (Business Object Documents), configured in ION, or scheduled polling of API endpoints. On Materialize: SUBSCRIBE queries stream row-level changes of any view or table to the client. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
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.
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:
Related integrations
Every pair below is a real-time, two-way sync. Search all 386 integrations available for Infor M3 and Materialize.
Popular · 8 of 386
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Infor M3 ⇄ Teradata Vantage -
Infor M3 ⇄ Tinybird -
Infor M3 ⇄ Vertica -
Infor M3 ⇄ Yellowbrick -
Materialize ⇄ Macola ERP -
Materialize ⇄ Manhattan Associates WMS -
Materialize ⇄ Microsoft Dynamics GP - Materialize ⇄ Microsoft Dynamics NAV
No integrations match .
