Real-time
Two-way sync
Changes in Atlassian or Infor M3 instantly reflect in both systems. No stale data, no manual imports.
Business productivity ⇄ ERP
Atlassian to Infor M3 integration — real-time, two-way sync
Keep Atlassian and Infor M3 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 Atlassian and Infor M3
Bridge the tools people work in and the system the business runs on: real-time, two-way sync between Atlassian and Infor M3.
The ERP holds the records the business is run on, and it is rarely where day-to-day work happens. Atlassian is closer to the work, and the two often need the same facts about the same people, organizations, and transactions. Bridging them by hand, or by nightly file transfer, leaves each side out of date for hours at a time.
Stacksync syncs Jira Projects, Boards and Sprints, Issue Comments, Attachments in Atlassian with Invoices, Warehouses, Price Lists, Items in Infor M3 bi-directionally and in real time, with field-level mapping and rules for which system wins on conflict. Changes made where the work happens reach the system of record within seconds, and the reverse.
Common use cases
- Keep Jira and a second tracker (for example a customer's Jira instance) aligned during co-delivery projects.
- Sync Confluence page metadata into a knowledge index so other tools can link to current documentation.
- Feed manufacturing order status to a customer portal for order tracking in fashion, food, or equipment supply chains
- Keep supplier and purchase order data aligned between M3 and procurement tools
Where Atlassian faces customers and Infor M3 carries account records
Order, invoice, or account status from Infor M3 appears alongside the customer in Atlassian, so front-line teams answer from live data.
Where Infor M3 is the HR or people system of record
Worker and organization data from Infor M3 stays current in Atlassian, so the tools people use daily reflect the org as it actually is.
Master data corrections travel
A customer, supplier, or contact detail corrected in either system updates the other, ending duplicate maintenance.
What you can sync between Atlassian and Infor M3
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.
| Atlassian objects | Infor M3 objects | |
|---|---|---|
| Jira Projects Containers that scope issues, workflows, and permissions for a sync. | Items Item master records provide the SKU, unit, and attribute data other systems price and sell against. | |
| Boards and Sprints Agile structures read to report on sprint contents and status. | Customers Customer master records sync with CRM account records to keep one shared customer file. | |
| Issue Comments Threaded discussion synced into linked tickets in external systems. | Suppliers Supplier records align procurement tools with the vendors M3 purchases from. | |
| Attachments Files on issues mirrored to paired records where needed. | Customer Orders Orders created in commerce or CRM systems land in M3 for fulfillment and invoicing. | |
| Custom Fields Instance-specific fields (customfield IDs) that carry most business-specific data in syncs. | Purchase Orders PO headers and lines sync outward so buyers and receiving teams see the same demand. | |
| Workflows and Statuses Status transitions mapped to stages in the paired system. | Manufacturing Orders Production order status feeds portals and CRMs so promised dates reflect the shop floor. |
What ships with Atlassian ⇄ Infor M3
Connect Atlassian and Infor M3 for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Atlassian–Infor M3 connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Atlassian or Infor M3 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 Atlassian or Infor M3 record.
Observability
Monitoring
Track your Atlassian ⇄ Infor M3 sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between Atlassian and Infor M3.
How the Atlassian and Infor M3 connectors work
Atlassian
- Integration surface
- REST APIs per product (Jira Cloud and Confluence Cloud)
- Authentication
- OAuth 2.0 (3LO) for apps or API tokens with basic auth for scripts
- Change detection
- Webhooks on issue and page events, plus JQL polling on the updated timestamp for backfill
- Capabilities
- read · write · webhooks
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
How it works
How to connect Atlassian to Infor M3 — 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 Atlassian and Infor M3 with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Atlassian
connected
Infor M3
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Atlassian and Infor M3 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 · Atlassian ⇄ Infor M3Customers 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.
Atlassian Infor M3Company company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Atlassian and Infor M3 integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between Atlassian and Infor M3: authenticate both systems, choose the objects to sync (such as Atlassian's Jira Projects and Boards and Sprints), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Atlassian: Each Atlassian product has its own REST API and resource model; a sync spanning Jira and Confluence talks to separate endpoints under one Atlassian identity. Infor M3: M3 business logic is exposed through M3 API programs (MI programs), which Infor publishes as REST endpoints through the ION API gateway rather than as a single flat resource model. Stacksync's field mapping accounts for these differences between Atlassian and Infor M3 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 Atlassian and Infor M3 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 Atlassian and Infor M3 connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Atlassian–Infor M3 integration in-house.
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Yes — Stacksync ships production-grade connectors for both Atlassian and Infor M3. 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 Atlassian: Webhooks on issue and page events, plus JQL polling on the updated timestamp for backfill. On Infor M3: Event publishing through Infor ION (Business Object Documents), configured in ION, or scheduled polling of API endpoints. 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 Atlassian and Infor M3.
Popular · 8 of 386
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Atlassian ⇄ Rootstock ERP -
Atlassian ⇄ Sage 100 - Atlassian ⇄ Sage 300
- Atlassian ⇄ Sage Intacct
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Infor M3 ⇄ Twilio -
Infor M3 ⇄ GitHub -
Infor M3 ⇄ Braze -
Infor M3 ⇄ ConnectWise
No integrations match .
