Real-time
Two-way sync
Changes in Infor M3 or Okta instantly reflect in both systems. No stale data, no manual imports.
ERP ⇄ Security and identity
Infor M3 to Okta integration — real-time, two-way sync
Keep Infor M3 and Okta 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 Okta
Keep the employee, group, and account records that Infor M3 and Okta share aligned in real time, so a person added, moved, or offboarded in one system shows up correctly in the other within seconds.
An ERP and an identity system describe the same workforce from two angles. Infor M3 holds the authoritative record of who works at the company, and often their department, title, manager, and cost center. Okta controls the accounts, groups, and access those same people use every day. When the two aren't connected, every hire, transfer, and departure has to be keyed twice, and the window between someone leaving in Infor M3 and their account still being active in Okta is a real security exposure.
Stacksync syncs Purchase Orders, Manufacturing Orders, Inventory Balances, Invoices in Infor M3 with Policies, System Log, Devices, Users in Okta in real time, with field-level mapping and conflict resolution in place of CSV exports and nightly jobs. A new hire, a department change, or a termination propagates within seconds, and where you want changes to flow both ways — the ERP's org data into the directory, account status back into the ERP — the same mapping handles it.
That matters most at offboarding and audit time. When the directory reflects the ERP's current headcount and org structure, disabling access no longer depends on someone remembering to update a second system, and access reviews start from a roster both sides already agree on.
Common use cases
- 01 Mirror M3 customers and invoices into a CRM or warehouse so sales and finance share one AR view
- 02 Feed manufacturing order status to a customer portal for order tracking in fashion, food, or equipment supply chains
- 03 Drive Group Rules and policy assignments from HR attributes so access changes the moment a title, department, or location changes.
- 04 Sync Groups and their memberships two-way between Okta and a database or IdP so downstream app access stays aligned with source-of-truth org data.
Common sync patterns
Keep profile attributes current
A name, email, title, manager, or department corrected in either system updates the other, so directory entries and employee records don't drift apart.
Align group and department membership
When someone changes team or department, their group or organizational-unit membership updates to match, keeping access tied to their current role.
One roster on a shared key
People are matched across both systems on an identifier you choose, such as work email or employee ID, so there is a single accurate list of who is active.
What you can sync between Infor M3 and Okta
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 | Okta objects | How this pairing syncs | |
|---|---|---|---|
| Customers Customer master records sync with CRM account records to keep one shared customer file. | System Log Immutable audit event stream of logins, admin changes, and lifecycle events; read-only, polled by timestamp and used as the change feed and SIEM source. | Customers is specific to Infor M3 and System Log to Okta — each maps to any object or custom field on the other side. | |
| Suppliers Supplier records align procurement tools with the vendors M3 purchases from. | Devices Registered and managed device records tied to users; read to correlate access with device posture and to feed inventory or conditional-access reporting. | Suppliers is specific to Infor M3 and Devices to Okta — 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. | Users Universal Directory user records with profile attributes, credentials, and lifecycle status (staged, active, suspended, deprovisioned); full CRUD, so users are created, updated, activated, and deactivated to match an HR or identity source. | Customer Orders is specific to Infor M3 and Users to Okta — 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. | Groups Okta groups (OKTA_GROUP, APP_GROUP, BUILT_IN) and their memberships; OKTA_GROUP records and membership are written to drive app and resource access. | Purchase Orders is specific to Infor M3 and Groups to Okta — 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. | Applications App integrations (SAML, OIDC, SWA) with per-user and per-group assignments; read and updated to manage which identities can reach each downstream app. | Manufacturing Orders is specific to Infor M3 and Applications to Okta — 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. | Group Rules Dynamic rules that add users to groups from profile attributes; read and written to automate access based on department, title, or location. | Inventory Balances is specific to Infor M3 and Group Rules to Okta — each maps to any object or custom field on the other side. |
How changes propagate between Infor M3 and Okta
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 Okta 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 Okta through its API, with automatic retries and rate-limit backoff.
Okta Infor M3 Sub-second propagation
DetectionOkta notifies Stacksync of record changes through webhook events. Event Hooks send an HTTPS POST to a subscribed endpoint on events such as user.lifecycle.create and group.user_membership.add (after a one-time.
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.
- Okta: Rate limits are enforced per org, per endpoint group, per minute and vary by Okta edition; responses carry X-Rate-Limit-Limit, X-Rate-Limit-Remaining, and X-Rate-Limit-Reset headers and exceeding one returns HTTP 429. The System Log is more tightly limited (about 120 requests/minute) and a separate concurrent-request cap (default 75 in-flight transactions) also applies.
What ships with Infor M3 ⇄ Okta
Connect Infor M3 and Okta for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Infor M3–Okta connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Infor M3 or Okta 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 Okta record.
Observability
Monitoring
Track your Infor M3 ⇄ Okta 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 Okta.
How the Infor M3 and Okta 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
Okta
- Integration surface
- REST API (Okta Management API, /api/v1) with Event Hooks for outbound events and the System Log API as the change feed
- Authentication
- SSWS API tokens (Authorization: SSWS {token}) scoped to the creating admin's permissions, or OAuth 2.0 for Okta service apps using a private-key-JWT client-credentials grant with granular scopes (DPoP supported)
- Change detection
- Event Hooks send an HTTPS POST to a subscribed endpoint on events such as user.lifecycle.create and group.user_membership.add (after a one-time verification handshake); the System Log API (/api/v1/logs) is polled by the since parameter and the next Link header for a near-real-time change feed
- Capabilities
- read · write · webhooks
- Rate limits
- Rate limits are enforced per org, per endpoint group, per minute and vary by Okta edition; responses carry X-Rate-Limit-Limit, X-Rate-Limit-Remaining, and X-Rate-Limit-Reset headers and exceeding one returns HTTP 429. The System Log is more tightly limited (about 120 requests/minute) and a separate concurrent-request cap (default 75 in-flight transactions) also applies.
How it works
How to connect Infor M3 to Okta — 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 Okta 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
Okta
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Infor M3 and Okta 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 ⇄ OktaCustomers 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 OktaCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Infor M3 and Okta integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between Infor M3 and Okta: authenticate both systems, choose the objects to sync (such as Infor M3's Customers and Suppliers), map fields visually, and changes propagate both ways in milliseconds — no code required.
-
Infor M3: Most M3 records are scoped by a company, division, facility, and warehouse hierarchy, which integration mappings need to carry explicitly. Okta: Rate limits are per org and per endpoint and vary by edition; the System Log endpoint is limited to roughly 120 requests per minute, and a concurrent-transaction cap (default 75) can return HTTP 429 independently of the per-minute limit. Stacksync's field mapping accounts for these differences between Infor M3 and Okta 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 Okta 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 Okta connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Infor M3–Okta integration in-house.
-
Yes — Stacksync ships production-grade connectors for both Infor M3 and Okta. 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 Okta: Event Hooks send an HTTPS POST to a subscribed endpoint on events such as user.lifecycle.create and group.user_membership.add (after a one-time verification handshake); the System Log API (/api/v1/logs) is polled by the since parameter and the next Link header for a near-real-time change feed. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
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
Every pair below is a real-time, two-way sync. Search all 503 integrations available for Infor M3 and Okta.
Popular · 8 of 503
-
Infor M3 ⇄ Jumpcloud -
Infor M3 ⇄ Active Directory - Infor M3 ⇄ Azure Active Directory
-
Infor M3 ⇄ Onelogin -
Okta ⇄ Rootstock ERP -
Okta ⇄ Sage 100 - Okta ⇄ Sage 300
- Okta ⇄ Sage Intacct
No integrations match .
