Real-time
Two-way sync
Changes in Infor M3 or Treasuredata instantly reflect in both systems. No stale data, no manual imports.
ERP ⇄ Analytics
Infor M3 to Treasuredata integration — real-time, two-way sync
Keep Infor M3 and Treasuredata 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
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Adopted by fast-scaling companies moving mission-critical data in real time
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Why teams connect Infor M3 and Treasuredata
Put Infor M3's records into Treasuredata as live data for reporting and dashboards, without nightly exports, and send the segments and metrics Treasuredata computes back where Infor M3 can use them.
ERP data is some of the most requested data for analysis and some of the hardest to pull: the record types are many, the APIs are strict, and export jobs break on every upgrade. Whether Infor M3 carries financials, operations, workforce data, or all three, those numbers belong in Treasuredata, next to the product, behavioral, and web data the team already measures.
Stacksync syncs Suppliers, Customer Orders, Purchase Orders, Manufacturing Orders from Infor M3 into Treasuredata continuously, handling API limits and schema drift as it goes, so each record type arrives as Master (Parent) Segments, Segments, Journeys, Predictive Segments ready to report on. The connection is bi-directional, so segments, scores, and metrics computed in Treasuredata can be written back to fields in Infor M3 where that is useful.
Common use cases
- 01 Push Predictive Segment propensity scores from TD onto customer records in an operational database or CRM for prioritization and lead routing.
- 02 Write CRM and product-usage records into TD Tables so they become source tables feeding parent-segment unification.
- 03 Sync M3 item master and inventory balances to commerce or CPQ systems so quotes price against live stock
- 04 Push orders captured in a CRM into M3 as customer orders without manual re-entry
Common sync patterns
Where Infor M3 runs order-to-cash: customer and account analytics
Orders, invoices, and account records from Infor M3 join the behavioral and usage data Treasuredata already tracks, so customer analysis spans activity and dollars in one view.
Where Infor M3 runs operations: inventory and fulfillment metrics
Operational records from Infor M3 become measurable in Treasuredata, joinable with the rest of what the company tracks for supply and fulfillment reporting.
Where Infor M3 is the HR system of record: workforce and cost analysis
Worker and organization data from Infor M3 syncs into Treasuredata for headcount, cost, and utilization reporting alongside other company data.
What you can sync between Infor M3 and Treasuredata
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 | Treasuredata objects | How this pairing syncs | |
|---|---|---|---|
| Customer Orders Orders created in commerce or CRM systems land in M3 for fulfillment and invoicing. | Databases Logical containers for tables; a sync targets one database and maps its tables to warehouse or operational-DB tables. | Customer Orders is specific to Infor M3 and Databases to Treasuredata — each maps to any object or custom field on the other side. | |
| Purchase Orders PO headers and lines sync outward so buyers and receiving teams see the same demand. | Tables Columnar log tables in TD's Plazma storage; every row carries a mandatory `time` column (Unix epoch) that Stacksync uses as the incremental watermark and partition key. Synced two-way with warehouse or database tables. | Purchase Orders is specific to Infor M3 and Tables to Treasuredata — each maps to any object or custom field on the other side. | |
| Manufacturing Orders Production order status feeds portals and CRMs so promised dates reflect the shop floor. | Master (Parent) Segments Unified customer profiles assembled from multiple source tables in Audience Studio; read out to push enriched attributes onto CRM or warehouse records. | Manufacturing Orders is specific to Infor M3 and Master (Parent) Segments to Treasuredata — each maps to any object or custom field on the other side. | |
| Inventory Balances On-hand quantities by warehouse drive available-to-promise in downstream channels. | Segments Campaign subsets of a parent segment; membership read out to activate audiences in downstream systems, or audience flags written back onto records. | Inventory Balances is specific to Infor M3 and Segments to Treasuredata — each maps to any object or custom field on the other side. | |
| Invoices Billing documents flow to finance and CRM tools for AR visibility. | Journeys Timeline-based event sequences in Audience Studio; stage and membership read out for reporting and cross-system activation. | Invoices is specific to Infor M3 and Journeys to Treasuredata — each maps to any object or custom field on the other side. | |
| Warehouses Warehouse and facility records scope inventory and order data during mapping. | Predictive Segments AI/ML-scored segments; propensity scores read out and written onto customer records in a CRM or database for prioritization. | Warehouses is specific to Infor M3 and Predictive Segments to Treasuredata — each maps to any object or custom field on the other side. |
How changes propagate between Infor M3 and Treasuredata
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.
Infor M3 Treasuredata Sub-second propagation
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 written to Treasuredata through its API, with automatic retries and rate-limit backoff.
Treasuredata Infor M3 Interval-based propagation
DetectionStacksync polls Treasuredata for changes on an incremental schedule, reading only records changed since the previous pass. Polling on the mandatory `time` column (Unix-epoch partition key) or an updated-at column.
DeliveryEach detected change is written to Infor M3 through its API, with automatic retries and rate-limit backoff.
Rate-limit considerations
- Infor M3: Subject to Infor ION API gateway throttling policies.
- Treasuredata: TD does not publish a fixed request-per-second cap; query throughput is bounded by the account's compute resource pool and large reads/exports run as asynchronous jobs.
What ships with Infor M3 ⇄ Treasuredata
Connect Infor M3 and Treasuredata for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Infor M3–Treasuredata connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Infor M3 or Treasuredata 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 Treasuredata record.
Observability
Monitoring
Track your Infor M3 ⇄ Treasuredata 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 Treasuredata.
How the Infor M3 and Treasuredata 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
Treasuredata
- Integration surface
- TD API v3 (REST) for databases, tables, and jobs, plus the Audience API (REST) for CDP segments and journeys
- Authentication
- API key sent as an `Authorization: TD1 <api_key>` header (per-user or account key from the TD Console); requests go to the region-specific endpoint (e.g. api.treasuredata.com for US, with separate EU and Tokyo endpoints)
- Change detection
- Polling on the mandatory `time` column (Unix-epoch partition key) or an updated-at column; TD stores append-oriented columnar data with no per-row CDC stream, so incremental syncs query for rows past a stored watermark
- Capabilities
- read · write
- Rate limits
- TD does not publish a fixed request-per-second cap; query throughput is bounded by the account's compute resource pool and large reads/exports run as asynchronous jobs
How it works
How to connect Infor M3 to Treasuredata — 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 Treasuredata 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
Treasuredata
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Infor M3 and Treasuredata 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 ⇄ TreasuredataCustomers 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 TreasuredataCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Infor M3 and Treasuredata integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between Infor M3 and Treasuredata: authenticate both systems, choose the objects to sync (such as Infor M3's Customer Orders and Purchase Orders), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Common patterns for Infor M3 and Treasuredata: Where Infor M3 runs order-to-cash: customer and account analytics; Where Infor M3 runs operations: inventory and fulfillment metrics; Where Infor M3 is the HR system of record: workforce and cost analysis. Orders, invoices, and account records from Infor M3 join the behavioral and usage data Treasuredata already tracks, so customer analysis spans activity and dollars in one view.
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Infor M3: REST API (M3 API programs exposed through the Infor ION API gateway). Authentication: OAuth 2.0 via Infor OS / ION API authorization. Treasuredata: TD API v3 (REST) for databases, tables, and jobs, plus the Audience API (REST) for CDP segments and journeys. Authentication: API key sent as an `Authorization: TD1 <api_key>` header (per-user or account key from the TD Console); requests go to the region-specific endpoint (e.g. api.treasuredata.com for US, with separate EU and Tokyo endpoints). Stacksync manages authentication, retries, and rate limits on both sides.
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Treasuredata: Queries run as asynchronous jobs on Presto/Trino or Hive; large reads and exports are pulled from job results rather than a single synchronous response. Infor M3: Most M3 records are scoped by a company, division, facility, and warehouse hierarchy, which integration mappings need to carry explicitly. Stacksync's field mapping accounts for these differences between Infor M3 and Treasuredata 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 Treasuredata 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 Treasuredata connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Infor M3–Treasuredata integration in-house.
SECURITY
Security teams trust 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
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
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