Two-way sync
Changes in Infor M3 or Materialize instantly reflect in both systems. No stale data, no manual imports.
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.
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.
Financial records land in Materialize as they change, so period-end reporting queries current numbers rather than last night's extract.
Worker and organization data syncs into Materialize for headcount, cost, and planning analysis alongside other company data.
Operational records become queryable tables in Materialize, joinable with sales and finance data.
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 | How this pairing syncs | |
|---|---|---|---|
| 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. | Invoices is specific to Infor M3 and Sources to Materialize — each maps to any object or custom field on the other side. | |
| 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. | Warehouses is specific to Infor M3 and Materialized Views to Materialize — each maps to any object or custom field on the other side. | |
| 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. | Price Lists is specific to Infor M3 and Sinks to Materialize — each maps to any object or custom field on the other side. | |
| 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. | Items is specific to Infor M3 and Indexes to Materialize — each maps to any object or custom field on the other side. | |
| 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. | Customers is specific to Infor M3 and Clusters to Materialize — each maps to any object or custom field on the other side. | |
| Suppliers Supplier records align procurement tools with the vendors M3 purchases from. | Connections & Secrets Stored credentials and endpoints used by sources and sinks. | Suppliers is specific to Infor M3 and Connections & Secrets to Materialize — each maps to any object or custom field on the other side. |
Each direction of the sync is driven by what the source system can signal and what the destination accepts — detection, delivery, and expected latency below.
DetectionInfor M3 notifies Stacksync of record changes through webhook events. Event publishing through Infor ION (Business Object Documents), configured in ION, or scheduled polling of API endpoints.
DeliveryEach detected change is applied to Materialize as a row-level write, with types converted between the two schemas.
DetectionChanges in Materialize are captured at the source via change data capture — no polling loop against its API. SUBSCRIBE queries stream row-level changes of any view or table to the client.
DeliveryEach detected change is written to Infor M3 through its API, with automatic retries and rate-limit backoff.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Infor M3–Materialize connection.
Changes in Infor M3 or Materialize instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Infor M3 or Materialize data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Infor M3 or Materialize record.
Track your Infor M3 ⇄ Materialize sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Infor M3 and Materialize.
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.
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.
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.
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
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.
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.
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.
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.
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.
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.
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.
Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.
Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.
Securely connects to your systems with:
Every pair below is a real-time, two-way sync. Search all 436 integrations available for Infor M3 and Materialize.