Real-time
Two-way sync
Changes in Amazon S3 or Infor WMS instantly reflect in both systems. No stale data, no manual imports.
Storage ⇄ ERP
Amazon S3 to Infor WMS integration — real-time, two-way sync
Keep Amazon S3 and Infor WMS in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
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Adopted by fast-scaling companies moving mission-critical data in real time
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Why teams connect Amazon S3 and Infor WMS
Move the documents and data that Infor WMS produces into Amazon S3 as files, and let files stored in Amazon S3 update the records they belong to in Infor WMS, continuously and without exports or manual filing.
Infor WMS runs the business on structured records: Appointments, Items, Inventory, Receipts / ASNs. Amazon S3 holds files and the metadata that describes them: Multipart uploads, Buckets, Objects, Object metadata. The two do not share a customer table or an order ledger. What they share is documents. Nearly every record Infor WMS touches produces a file that belongs in storage, whether an invoice, a purchase order, a statement, or a shipping doc, and many files that land in Amazon S3, from signed contracts to vendor bills to receipts, describe a transaction Infor WMS needs to record. Left unconnected, that link is maintained by hand: someone exports a PDF and drags it into a folder, or downloads a file and keys its details into a record.
Stacksync keeps Appointments, Items, Inventory, Receipts / ASNs in Infor WMS and Multipart uploads, Buckets, Objects, Object metadata in Amazon S3 in sync, bi-directionally and in real time. A document and its details, the customer, the type, the date, an amount, an order or invoice number, are mapped field by field, so a file arrives in Amazon S3 already labeled and filed, and metadata captured against a stored file can create or update the matching record in Infor WMS. Changes on either side show up within seconds, with conflict resolution in place of nightly exports and manual filing.
The result is that a transaction and the document that backs it stay together. Finance, operations, and audit teams find the file behind a record without digging through folders, and the record in Infor WMS and the file in Amazon S3 never describe two different versions of the same document.
Common use cases
- 01 Consolidate task and labor data into a BI warehouse for productivity reporting
- 02 Sync inventory positions from Infor WMS to an OMS or e-commerce platform so promised stock reflects the warehouse
- 03 Mirror Objects under a given Bucket and prefix into another bucket, region, or a warehouse external stage for backup or downstream processing.
- 04 Trigger a database or ERP record update the moment an S3 Event Notification fires an object-created event, for example when a partner drops an EDI or invoice file into an inbound prefix.
Common sync patterns
Metadata that files itself
Record fields from Infor WMS, like customer, date, amount, type, and reference number, become the metadata and tags on the stored file in Amazon S3, so storage stays organized without anyone tagging by hand.
Where Amazon S3 captures inbound files: details reach the record
A contract, vendor bill, or receipt added to Amazon S3 with its details can create or update the matching record in Infor WMS, so a document captured outside the finance system still reaches the books.
An archive that stays current
As records change in Infor WMS, the corresponding files and metadata in Amazon S3 are kept in step, so a stored document reflects the latest version rather than a stale one-time export.
What you can sync between Amazon S3 and Infor WMS
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.
| Amazon S3 objects | Infor WMS objects | How this pairing syncs | |
|---|---|---|---|
| Object tags Up to 10 key-value tags per object, mutable in place via the tagging API independent of content, so classification and retention labels sync two-way without rewriting files. | Waves Wave assignments group orders for fulfillment and can be reported outward. | Object tags is specific to Amazon S3 and Waves to Infor WMS — each maps to any object or custom field on the other side. | |
| Object versions When bucket versioning is enabled every write creates a new version ID; prior versions and delete markers are readable for history and audit syncs. | Tasks Warehouse task data supports labor and productivity reporting in BI tools. | Object versions is specific to Amazon S3 and Tasks to Infor WMS — each maps to any object or custom field on the other side. | |
| Prefixes (folders) Logical path segments in object keys used to scope a sync and to parallelize throughput, since S3 rate limits partition by prefix. | Locations Bin and zone definitions scope inventory records during mapping. | Prefixes (folders) is specific to Amazon S3 and Locations to Infor WMS — each maps to any object or custom field on the other side. | |
| Multipart uploads In-progress large-object uploads assembled from parts; objects above ~100 MB (required above 5 GB) are written this way, and incomplete uploads persist until completed or aborted. | Shipments Ship confirmations and tracking references flow back to the order source system. | Multipart uploads is specific to Amazon S3 and Shipments to Infor WMS — each maps to any object or custom field on the other side. | |
| Buckets Top-level, region-scoped containers that hold objects; enumerated to discover the namespaces and prefixes a sync should cover. | Appointments Dock appointment data coordinates carriers and yard operations with external schedules. | Buckets is specific to Amazon S3 and Appointments to Infor WMS — each maps to any object or custom field on the other side. | |
| Objects Files stored under a key; content is read with GET and written with PUT, and each object's key/size/ETag/LastModified is the unit indexed into a database. | Items Item definitions keep the WMS aligned with the ERP or OMS item master. | Objects is specific to Amazon S3 and Items to Infor WMS — each maps to any object or custom field on the other side. |
How changes propagate between Amazon S3 and Infor WMS
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.
Amazon S3 Infor WMS Sub-second propagation
DetectionAmazon S3 notifies Stacksync of record changes through webhook events. S3 Event Notifications push object-created, object-removed, and object-tagging events to SNS, SQS, Lambda, or EventBridge.
DeliveryEach detected change is written to Infor WMS through its API, with automatic retries and rate-limit backoff.
Infor WMS Amazon S3 Sub-second propagation
DetectionInfor WMS notifies Stacksync of record changes through webhook events. ION event publishing or scheduled polling of API endpoints.
DeliveryEach detected change is written to Amazon S3 through its API, with automatic retries and rate-limit backoff.
Rate-limit considerations
- Amazon S3: S3 sustains at least 3,500 PUT/COPY/POST/DELETE and 5,500 GET/HEAD requests per second per partitioned prefix and scales higher automatically; bursts can return HTTP 503 SlowDown while it repartitions.
- Infor WMS: Subject to Infor ION API gateway throttling policies.
What ships with Amazon S3 ⇄ Infor WMS
Connect Amazon S3 and Infor WMS for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Amazon S3–Infor WMS connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Amazon S3 or Infor WMS 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 Amazon S3 or Infor WMS record.
Observability
Monitoring
Track your Amazon S3 ⇄ Infor WMS sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between Amazon S3 and Infor WMS.
How the Amazon S3 and Infor WMS connectors work
Amazon S3
- Integration surface
- S3 REST API (also via AWS SDKs and the S3-compatible endpoint)
- Authentication
- AWS IAM credentials — an access key ID and secret access key signed with AWS Signature Version 4; supports temporary STS credentials and cross-account IAM roles
- Change detection
- S3 Event Notifications push object-created, object-removed, and object-tagging events to SNS, SQS, Lambda, or EventBridge; there is no modified-since query, so polling relies on each object's LastModified from ListObjectsV2
- Capabilities
- read · write · webhooks
- Rate limits
- S3 sustains at least 3,500 PUT/COPY/POST/DELETE and 5,500 GET/HEAD requests per second per partitioned prefix and scales higher automatically; bursts can return HTTP 503 SlowDown while it repartitions.
Infor WMS
- Integration surface
- REST API via the Infor OS / ION API gateway (cloud deployments run inside Infor CloudSuite)
- Authentication
- OAuth 2.0 via Infor OS
- Change detection
- ION event publishing 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 Amazon S3 to Infor WMS — 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 Amazon S3 and Infor WMS with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Amazon S3
connected
Infor WMS
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Amazon S3 and Infor WMS 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 · Amazon S3 ⇄ Infor WMSCustomers 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.
Amazon S3 Infor WMSCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Amazon S3 and Infor WMS integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between Amazon S3 and Infor WMS: authenticate both systems, choose the objects to sync (such as Amazon S3's Object tags and Object versions), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Yes — Stacksync ships production-grade connectors for both Amazon S3 and Infor WMS. 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 Amazon S3: S3 Event Notifications push object-created, object-removed, and object-tagging events to SNS, SQS, Lambda, or EventBridge; there is no modified-since query, so polling relies on each object's LastModified from ListObjectsV2. On Infor WMS: ION event publishing 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.
-
On the Infor WMS side: Appointments, Items, Inventory, Receipts / ASNs, plus custom fields where Infor WMS exposes them. On the Amazon S3 side: Multipart uploads, Buckets, Objects, Object metadata. Stacksync auto-detects both schemas and converts types between the two systems.
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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.
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Common patterns for Amazon S3 and Infor WMS: Metadata that files itself; Where Amazon S3 captures inbound files: details reach the record; An archive that stays current. Record fields from Infor WMS, like customer, date, amount, type, and reference number, become the metadata and tags on the stored file in Amazon S3, so storage stays organized without anyone tagging by hand.
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 383 integrations available for Amazon S3 and Infor WMS.
Popular · 6 of 383
- Amazon S3 ⇄ Infor CloudSuite
- Amazon S3 ⇄ Infor LN
- Amazon S3 ⇄ Infor M3
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Infor WMS ⇄ Sharepoint -
Infor WMS ⇄ Egnyte -
Infor WMS ⇄ Box
No integrations match .
