Real-time
Real-time sync
Changes in Adobeanalytics or Infor M3 instantly reflect in both systems. No stale data, no manual imports.
Analytics ⇄ ERP
Adobeanalytics to Infor M3 integration — real-time data sync
Keep Adobeanalytics 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
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Adopted by fast-scaling companies moving mission-critical data in real time
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Why teams connect Adobeanalytics and Infor M3
Put Infor M3's records into Adobeanalytics as live data for reporting and dashboards, without nightly exports, and send the segments and metrics Adobeanalytics computes back where Infor M3 can use them.
Adobeanalytics is a read-only source: Stacksync reads its data in real time and delivers it into Infor M3, so Infor M3 always reflects the current state of Adobeanalytics — without exports, scripts, or schedulers.
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 Adobeanalytics, next to the product, behavioral, and web data the team already measures.
Common use cases
- 01 Read Users and Usage/Audit logs into a security or governance database for access reviews and tool-usage reporting across the Analytics company.
- 02 Feed report metrics into a data model that blends channel performance with conversion and cost data.
- 03 Mirror M3 customers and invoices into a CRM or warehouse so sales and finance share one AR view
- 04 Feed manufacturing order status to a customer portal for order tracking in fashion, food, or equipment supply chains
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 Adobeanalytics 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 Adobeanalytics, 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 Adobeanalytics for headcount, cost, and utilization reporting alongside other company data.
What you can sync between Adobeanalytics 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.
| Adobeanalytics objects | Infor M3 objects | How this pairing syncs | |
|---|---|---|---|
| Users Users in the Analytics company, read via GET /users and /users/me; loaded for access, entitlement, and identity reconciliation reporting. | Inventory Balances On-hand quantities by warehouse drive available-to-promise in downstream channels. | Users is specific to Adobeanalytics and Inventory Balances to Infor M3 — each maps to any object or custom field on the other side. | |
| Usage and Access Logs Admin audit and usage logs of report and tool activity, read via the usage/audit-log endpoints; loaded for security, governance, and adoption reporting. | Invoices Billing documents flow to finance and CRM tools for AR visibility. | Usage and Access Logs is specific to Adobeanalytics and Invoices to Infor M3 — each maps to any object or custom field on the other side. | |
| Reports Core reporting endpoint (POST /reports on analytics.adobe.io); returns ranked or trended report data for chosen metrics broken down by dimensions over a date range, with optional segment filters. The main dataset Stacksync reads out. | Warehouses Warehouse and facility records scope inventory and order data during mapping. | Reports is specific to Adobeanalytics and Warehouses to Infor M3 — each maps to any object or custom field on the other side. | |
| Dimensions Available report dimensions (eVars, props, and standard dimensions) per report suite, read via GET /dimensions; pulled as reporting metadata to build report requests and mirror the model. | Price Lists Pricing data keeps quoting tools consistent with the prices M3 will actually invoice. | Dimensions is specific to Adobeanalytics and Price Lists to Infor M3 — each maps to any object or custom field on the other side. | |
| Metrics Standard metrics available for a report suite, read via GET /metrics; read as metadata to construct report requests and document available measures. | Items Item master records provide the SKU, unit, and attribute data other systems price and sell against. | Metrics is specific to Adobeanalytics and Items to Infor M3 — each maps to any object or custom field on the other side. | |
| Calculated Metrics User-defined derived metrics, read via GET /calculatedmetrics; mirrored so downstream tools reference the same calculated-metric definitions. | Customers Customer master records sync with CRM account records to keep one shared customer file. | Calculated Metrics is specific to Adobeanalytics and Customers to Infor M3 — each maps to any object or custom field on the other side. |
How changes propagate between Adobeanalytics and Infor M3
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.
Adobeanalytics Infor M3 Interval-based propagation
DetectionStacksync polls Adobeanalytics for changes on an incremental schedule, reading only records changed since the previous pass. Pull-based over a date range: reports are requested for a from/to window and re-queried on a schedule.
DeliveryEach detected change is written to Infor M3 through its API, with automatic retries and rate-limit backoff.
Infor M3 Adobeanalytics 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.
DeliveryAdobeanalytics does not accept inbound record writes, so this direction carries requests rather than records: Adobeanalytics's output flows back as field updates on the originating Infor M3 records.
Rate-limit considerations
- Adobeanalytics: The Analytics 2.0 API enforces 12 requests per 6 seconds (about 120 per minute) per user; exceeding it returns HTTP 429 with error_code 429050. A separate per-report-suite reporting-engine throttle can slow large requests without returning an error.
- Infor M3: Subject to Infor ION API gateway throttling policies.
What ships with Adobeanalytics ⇄ Infor M3
Connect Adobeanalytics and Infor M3 for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Adobeanalytics–Infor M3 connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Adobeanalytics 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 Adobeanalytics or Infor M3 record.
Observability
Monitoring
Track your Adobeanalytics ⇄ 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 Adobeanalytics and Infor M3.
How the Adobeanalytics and Infor M3 connectors work
Adobeanalytics
- Integration surface
- Analytics 2.0 REST API on analytics.adobe.io for reporting and components; Data Feeds and Data Warehouse for raw hit-level export; Data Insertion and Bulk Data Insertion (CSV) APIs for inbound server-side collection.
- Authentication
- OAuth Server-to-Server via the Adobe Developer Console (JWT service-account auth was deprecated January 1, 2025). The company's global company ID is sent in the x-proxy-global-company-id header, and the integration needs at least the Report Suites, Metrics, and Dimensions permission groups.
- Change detection
- Pull-based over a date range: reports are requested for a from/to window and re-queried on a schedule. No change-data-capture feed or report-data webhooks; Adobe recommends not polling for new data faster than every 30 minutes and caching results.
- Capabilities
- read
- Rate limits
- The Analytics 2.0 API enforces 12 requests per 6 seconds (about 120 per minute) per user; exceeding it returns HTTP 429 with error_code 429050. A separate per-report-suite reporting-engine throttle can slow large requests without returning an error.
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 Adobeanalytics 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 Adobeanalytics 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.
Adobeanalytics
connected
Infor M3
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Adobeanalytics 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 · Adobeanalytics ⇄ 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.
Adobeanalytics Infor M3Company company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Adobeanalytics and Infor M3 integration FAQ
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Yes. Stacksync provides a managed, real-time integration between Adobeanalytics and Infor M3 — Adobeanalytics is a read-only source, so data flows from it into the other system: authenticate both systems, choose the objects to sync, map fields visually, and changes propagate in milliseconds — no code required.
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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 Adobeanalytics 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 Adobeanalytics and Infor M3 connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Adobeanalytics–Infor M3 integration in-house.
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Yes — Stacksync ships production-grade connectors for both Adobeanalytics 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 Adobeanalytics: Pull-based over a date range: reports are requested for a from/to window and re-queried on a schedule. No change-data-capture feed or report-data webhooks; Adobe recommends not polling for new data faster than every 30 minutes and caching results. 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.
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On the Adobeanalytics side: Usage and Access Logs, Reports, Dimensions, Metrics, plus custom fields where Adobeanalytics exposes them. On the Infor M3 side: Suppliers, Customer Orders, Purchase Orders, Manufacturing Orders. Stacksync auto-detects both schemas and converts types between the two systems.
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 436 integrations available for Adobeanalytics and Infor M3.
Popular · 8 of 436
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Adobeanalytics ⇄ Sage 100 - Adobeanalytics ⇄ Sage 300
- Adobeanalytics ⇄ Sage Intacct
- Adobeanalytics ⇄ Sage X3
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Infor M3 ⇄ Pendo -
Infor M3 ⇄ Splunk -
Infor M3 ⇄ Treasuredata -
Infor M3 ⇄ Mixpanel
No integrations match .
