Two-way sync
Changes in Infor M3 or Splunk instantly reflect in both systems. No stale data, no manual imports.
Keep Infor M3 and Splunk 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 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 Splunk, next to the product, behavioral, and web data the team already measures.
Stacksync syncs Customers, Suppliers, Customer Orders, Purchase Orders from Infor M3 into Splunk continuously, handling API limits and schema drift as it goes, so each record type arrives as Fired Alerts, KV Store Collections, Indexes, HTTP Event Collector ready to report on. The connection is bi-directional, so segments, scores, and metrics computed in Splunk can be written back to fields in Infor M3 where that is useful.
Financial records from Infor M3 land in Splunk as they change, so revenue, margin, and spend dashboards read current figures rather than last night's export.
Orders, invoices, and account records from Infor M3 join the behavioral and usage data Splunk already tracks, so customer analysis spans activity and dollars in one view.
Operational records from Infor M3 become measurable in Splunk, joinable with the rest of what the company tracks for supply and fulfillment reporting.
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 | Splunk objects | How this pairing syncs | |
|---|---|---|---|
| Suppliers Supplier records align procurement tools with the vendors M3 purchases from. | Saved Searches Scheduled searches, reports, and the definitions behind alerts at /services/saved/searches with full create, update, and delete. Read out for governance and coverage review, or provisioned and updated from a config source. | Suppliers is specific to Infor M3 and Saved Searches to Splunk — each maps to any object or custom field on the other side. | |
| Customer Orders Orders created in commerce or CRM systems land in M3 for fulfillment and invoicing. | Fired Alerts Triggered alert instances listed at /services/alerts/fired_alerts; alert configuration (conditions, schedule, actions) lives on the corresponding saved search. Landed in a database for alert-trend and detection-coverage reporting. | Customer Orders is specific to Infor M3 and Fired Alerts to Splunk — 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. | KV Store Collections App-scoped, MongoDB-backed key-value collections at /servicesNS/{owner}/{app}/storage/collections/data/{collection} with full CRUD and batch endpoints. Genuinely bidirectional lookup/state store — read records out or write records in. | Purchase Orders is specific to Infor M3 and KV Store Collections to Splunk — 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. | Indexes Index inventory and settings (retention, max size, event counts) via /services/data/indexes, with create and edit; loaded into a database for capacity, retention, and data-onboarding tracking. | Manufacturing Orders is specific to Infor M3 and Indexes to Splunk — 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. | HTTP Event Collector The write-in path: POST events and metrics to /services/collector (port 8088, or 443 on Splunk Cloud) authenticated with a per-input HEC token, so external records are indexed alongside logs for search and correlation. | Inventory Balances is specific to Infor M3 and HTTP Event Collector to Splunk — each maps to any object or custom field on the other side. | |
| Invoices Billing documents flow to finance and CRM tools for AR visibility. | Users and Roles Accounts at /services/authentication/users and role/capability definitions at /services/authorization/roles, with full CRUD; exported for access reviews or provisioned from an identity source of truth. | Invoices is specific to Infor M3 and Users and Roles to Splunk — 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 written to Splunk through its API, with automatic retries and rate-limit backoff.
DetectionSplunk notifies Stacksync of record changes through webhook events. Time-range searches over indexed events (earliest/latest on _time or _indextime).
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–Splunk connection.
Changes in Infor M3 or Splunk instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Infor M3 or Splunk 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 Splunk record.
Track your Infor M3 ⇄ Splunk sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Infor M3 and Splunk.
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 Splunk 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 Splunk 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 Splunk: authenticate both systems, choose the objects to sync (such as Infor M3's Suppliers and Customer Orders), map fields visually, and changes propagate both ways in milliseconds — no code required.
Change detection on Infor M3: Event publishing through Infor ION (Business Object Documents), configured in ION, or scheduled polling of API endpoints. On Splunk: Time-range searches over indexed events (earliest/latest on _time or _indextime); events are immutable once indexed, so incremental extraction advances a time cursor rather than a modified-date CDC feed. Config objects such as saved searches and KV Store are polled; alerts can push via a saved-search webhook action. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Splunk side: Fired Alerts, KV Store Collections, Indexes, HTTP Event Collector, plus custom fields where Splunk exposes them. On the Infor M3 side: Customers, Suppliers, Customer Orders, Purchase Orders. Stacksync auto-detects both schemas and converts types between the two systems.
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 Splunk: Where Infor M3 holds the books: revenue and finance dashboards from live data; Where Infor M3 runs order-to-cash: customer and account analytics; Where Infor M3 runs operations: inventory and fulfillment metrics. Financial records from Infor M3 land in Splunk as they change, so revenue, margin, and spend dashboards read current figures rather than last night's export.
Infor M3: REST API (M3 API programs exposed through the Infor ION API gateway). Authentication: OAuth 2.0 via Infor OS / ION API authorization. Splunk: REST API (management API + HTTP Event Collector). Authentication: HTTP Basic (username/password), or a session key from POST /services/auth/login sent as Authorization: Splunk <key>, or a bearer authentication token (Authorization: Bearer <token>). The HTTP Event Collector uses its own per-input token (Authorization: Splunk <hec-token>). Management API defaults to port 8089; HEC to port 8088 (443 on Splunk Cloud). Stacksync manages authentication, retries, and rate limits on both sides.
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 477 integrations available for Infor M3 and Splunk.