Real-time
Two-way sync
Changes in Infor M3 or Yellowbrick instantly reflect in both systems. No stale data, no manual imports.
ERP ⇄ Data warehouse
Infor M3 to Yellowbrick integration — real-time, two-way sync
Keep Infor M3 and Yellowbrick 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 Yellowbrick
Put Infor M3's records in Yellowbrick 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 Yellowbrick next to everything else the company measures.
Stacksync syncs Suppliers, Customer Orders, Purchase Orders, Manufacturing Orders from Infor M3 into tables in Yellowbrick continuously, managing API limits and schema drift along the way. The connection is bi-directional, so values computed in Yellowbrick can be written back to fields in Infor M3 where that is useful.
Common use cases
- Land ERP transactional extracts in Yellowbrick for finance and supply-chain analytics.
- Push warehouse-computed aggregates or segments back into operational tools such as a CRM.
- Consolidate M3 transactional data into an analytics database for cross-plant reporting
- Sync M3 item master and inventory balances to commerce or CPQ systems so quotes price against live stock
Where Infor M3 is the HR system of record: workforce analytics
Worker and organization data syncs into Yellowbrick 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 Yellowbrick, joinable with sales and finance data.
Group reporting across systems
Combine Infor M3's records with data synced from other systems in Yellowbrick for consolidated views no single system can produce.
What you can sync between Infor M3 and Yellowbrick
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 | Yellowbrick objects | |
|---|---|---|
| Warehouses Warehouse and facility records scope inventory and order data during mapping. | Users and Roles Access-control objects that govern what a sync service account can read and write. | |
| Price Lists Pricing data keeps quoting tools consistent with the prices M3 will actually invoice. | Databases Top-level containers for schemas and tables. | |
| Items Item master records provide the SKU, unit, and attribute data other systems price and sell against. | Schemas Namespaces used to organize synced datasets by source or domain. | |
| Customers Customer master records sync with CRM account records to keep one shared customer file. | Tables Columnar MPP tables; the primary targets for warehouse syncs. | |
| Suppliers Supplier records align procurement tools with the vendors M3 purchases from. | Views Logical views used to shape reads for BI and downstream syncs. |
What ships with Infor M3 ⇄ Yellowbrick
Connect Infor M3 and Yellowbrick for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Infor M3–Yellowbrick connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Infor M3 or Yellowbrick 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 Yellowbrick record.
Observability
Monitoring
Track your Infor M3 ⇄ Yellowbrick 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 Yellowbrick.
How the Infor M3 and Yellowbrick 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
Yellowbrick
- Integration surface
- SQL wire protocol (PostgreSQL-compatible) with JDBC/ODBC drivers; bulk loading via the ybload utility
- Authentication
- Database credentials, with LDAP and Kerberos options in enterprise deployments
- Change detection
- Polling on timestamp columns; no exposed transaction-log CDC
- Capabilities
- read · write
- Rate limits
- No API rate limits; throughput depends on cluster sizing, and bulk loads should use ybload rather than row-by-row inserts.
How it works
How to connect Infor M3 to Yellowbrick — 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 Yellowbrick 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
Yellowbrick
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Infor M3 and Yellowbrick 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 ⇄ YellowbrickCustomers 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 YellowbrickCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Infor M3 and Yellowbrick integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between Infor M3 and Yellowbrick: authenticate both systems, choose the objects to sync (such as Infor M3's Warehouses and Price Lists), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Yellowbrick: The engine is a distributed MPP columnar system deployable on-premises and in public clouds. 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 Yellowbrick 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 Yellowbrick 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 Yellowbrick connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Infor M3–Yellowbrick integration in-house.
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Yes — Stacksync ships production-grade connectors for both Infor M3 and Yellowbrick. 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 Yellowbrick: Polling on timestamp columns; no exposed transaction-log CDC. 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 Yellowbrick.
Popular · 8 of 386
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Infor M3 ⇄ ClickHouse -
Infor M3 ⇄ Cloudera Data Platform -
Infor M3 ⇄ Dremio -
Infor M3 ⇄ Exasol -
Yellowbrick ⇄ Plex ERP -
Yellowbrick ⇄ QAD ERP -
Yellowbrick ⇄ Rootstock ERP -
Yellowbrick ⇄ Sage 100
No integrations match .
