Real-time
Two-way sync
Changes in Infor M3 or MongoDB instantly reflect in both systems. No stale data, no manual imports.
ERP ⇄ Database
Infor M3 to MongoDB integration — real-time, two-way sync
Keep Infor M3 and MongoDB 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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Migrated from Mulesoft
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Migrated from Matillion
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Migrated from Fivetran
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Migrated from Celigo
Why teams connect Infor M3 and MongoDB
Give your engineers Infor M3's data in MongoDB: 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 Inventory Balances, Invoices, Warehouses, Price Lists from Infor M3 into MongoDB 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 MongoDB sync back into Infor M3 with its validations respected.
Common use cases
- Sync MongoDB collections with a CRM so customer documents written by the application appear as CRM records, and CRM edits flow back as document updates.
- Replicate operational MongoDB data into a relational database, flattening nested documents into normalized tables for SQL reporting.
- 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
Where Infor M3 is the HR system of record: people data for internal systems
Worker and org records stay current in MongoDB for provisioning, access, and reporting systems that read from the database.
Controlled write-back
Choose exactly which tables and fields may flow from MongoDB back into Infor M3, keeping the ERP authoritative.
Read ERP records with a query
Records from Infor M3 live in MongoDB as ordinary tables or collections, joinable with the rest of your data.
What you can sync between Infor M3 and MongoDB
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 | MongoDB objects | |
|---|---|---|
| Price Lists Pricing data keeps quoting tools consistent with the prices M3 will actually invoice. | GridFS files Chunked file storage whose metadata can be referenced by synced documents. | |
| Items Item master records provide the SKU, unit, and attribute data other systems price and sell against. | Databases Logical groupings of collections that scope a sync connection. | |
| Customers Customer master records sync with CRM account records to keep one shared customer file. | Collections The table-like sync unit; each collection maps to a table or object in the paired system. | |
| Suppliers Supplier records align procurement tools with the vendors M3 purchases from. | Documents BSON records created, updated, and deleted during syncs, keyed by _id. | |
| Customer Orders Orders created in commerce or CRM systems land in M3 for fulfillment and invoicing. | Embedded documents and arrays Nested structures that syncs flatten or map to related records in relational targets. | |
| Purchase Orders PO headers and lines sync outward so buyers and receiving teams see the same demand. | Indexes Keep lookups by sync key fast on large collections. |
What ships with Infor M3 ⇄ MongoDB
Connect Infor M3 and MongoDB for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Infor M3–MongoDB connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Infor M3 or MongoDB 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 MongoDB record.
Observability
Monitoring
Track your Infor M3 ⇄ MongoDB 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 MongoDB.
How the Infor M3 and MongoDB 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
MongoDB
- Integration surface
- MongoDB wire protocol via official drivers; Atlas additionally offers an administration REST API for cluster management
- Authentication
- Database credentials (username/password) or TLS/SSL X.509 certificate (.pem upload), entered individually or via a MongoDB connection string (SRV or standard); Stacksync IP allowlisting required
- Change detection
- MongoDB oplog and change streams (requires the database to run as a replica set — even single-node); Stacksync leverages these built-in tools to track changes in real time
- Capabilities
- read · write · CDC
How it works
How to connect Infor M3 to MongoDB — 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 MongoDB 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
MongoDB
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Infor M3 and MongoDB 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 ⇄ MongoDBCustomers 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 MongoDBCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Infor M3 and MongoDB integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between Infor M3 and MongoDB: authenticate both systems, choose the objects to sync (such as Infor M3's Price Lists and Items), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Yes — Stacksync ships production-grade connectors for both Infor M3 and MongoDB. 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 MongoDB: MongoDB oplog and change streams (requires the database to run as a replica set — even single-node); Stacksync leverages these built-in tools to track changes in real time. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
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On the MongoDB side: Embedded documents and arrays, Indexes, Views, Change streams, plus custom fields where MongoDB exposes them. On the Infor M3 side: Inventory Balances, Invoices, Warehouses, Price Lists. Stacksync auto-detects both schemas and converts types between the two systems.
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Yes. Each object mapping can be bidirectional or restricted to a single direction (both systems accept writes). Read-only mirrors, one-way pushes, and full two-way sync can be mixed in the same integration.
-
Common patterns for Infor M3 and MongoDB: Where Infor M3 is the HR system of record: people data for internal systems; Controlled write-back; Read ERP records with a query. Worker and org records stay current in MongoDB for provisioning, access, and reporting systems that read from the database.
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 MongoDB.
Popular · 8 of 386
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Infor M3 ⇄ Scaleway Postgres -
Infor M3 ⇄ TiDB -
Infor M3 ⇄ TimescaleDB -
Infor M3 ⇄ VoltDB - MongoDB ⇄ Infor LN
- MongoDB ⇄ Infor WMS
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MongoDB ⇄ IQMS (DELMIAworks) -
MongoDB ⇄ JobBOSS²
No integrations match .
