Real-time
Two-way sync
Changes in Amazon S3 or Infor M3 instantly reflect in both systems. No stale data, no manual imports.
Storage ⇄ ERP
Amazon S3 to Infor M3 integration — real-time, two-way sync
Keep Amazon S3 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 Amazon S3 and Infor M3
Move the documents and data that Infor M3 produces into Amazon S3 as files, and let files stored in Amazon S3 update the records they belong to in Infor M3, continuously and without exports or manual filing.
Infor M3 runs the business on structured records: Suppliers, Customer Orders, Purchase Orders, Manufacturing Orders. Amazon S3 holds files and the metadata that describes them: Buckets, Objects, Object metadata, Object tags. The two do not share a customer table or an order ledger. What they share is documents. Nearly every record Infor M3 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 M3 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 Suppliers, Customer Orders, Purchase Orders, Manufacturing Orders in Infor M3 and Buckets, Objects, Object metadata, Object tags 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 M3. 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 M3 and the file in Amazon S3 never describe two different versions of the same document.
Common use cases
- 01 Push orders captured in a CRM into M3 as customer orders without manual re-entry
- 02 Mirror M3 customers and invoices into a CRM or warehouse so sales and finance share one AR view
- 03 Index every new Object's key, size, LastModified, and user metadata into a Postgres catalog table so applications query S3 contents in SQL instead of paging ListObjectsV2.
- 04 Two-way sync Object tags with a database so retention or classification labels set in an internal app write back onto S3 objects via the tagging API without rewriting the files.
Common sync patterns
Metadata that files itself
Record fields from Infor M3, 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 M3, so a document captured outside the finance system still reaches the books.
An archive that stays current
As records change in Infor M3, 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 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.
| Amazon S3 objects | Infor M3 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. | Items Item master records provide the SKU, unit, and attribute data other systems price and sell against. | Object tags is specific to Amazon S3 and Items to Infor M3 — 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. | Customers Customer master records sync with CRM account records to keep one shared customer file. | Object versions is specific to Amazon S3 and Customers to Infor M3 — 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. | Suppliers Supplier records align procurement tools with the vendors M3 purchases from. | Prefixes (folders) is specific to Amazon S3 and Suppliers to Infor M3 — 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. | Customer Orders Orders created in commerce or CRM systems land in M3 for fulfillment and invoicing. | Multipart uploads is specific to Amazon S3 and Customer Orders to Infor M3 — 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. | Purchase Orders PO headers and lines sync outward so buyers and receiving teams see the same demand. | Buckets is specific to Amazon S3 and Purchase Orders to Infor M3 — 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. | Manufacturing Orders Production order status feeds portals and CRMs so promised dates reflect the shop floor. | Objects is specific to Amazon S3 and Manufacturing Orders to Infor M3 — each maps to any object or custom field on the other side. |
How changes propagate between Amazon S3 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.
Amazon S3 Infor M3 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 M3 through its API, with automatic retries and rate-limit backoff.
Infor M3 Amazon S3 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 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 M3: Subject to Infor ION API gateway throttling policies.
What ships with Amazon S3 ⇄ Infor M3
Connect Amazon S3 and Infor M3 for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Amazon S3–Infor M3 connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Amazon S3 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 Amazon S3 or Infor M3 record.
Observability
Monitoring
Track your Amazon S3 ⇄ 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 Amazon S3 and Infor M3.
How the Amazon S3 and Infor M3 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 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 Amazon S3 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 Amazon S3 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.
Amazon S3
connected
Infor M3
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Amazon S3 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 · Amazon S3 ⇄ 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.
Amazon S3 Infor M3Company company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Amazon S3 and Infor M3 integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between Amazon S3 and Infor M3: 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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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 Amazon S3 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 Amazon S3 and Infor M3 connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Amazon S3–Infor M3 integration in-house.
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Yes — Stacksync ships production-grade connectors for both Amazon S3 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 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 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 Infor M3 side: Suppliers, Customer Orders, Purchase Orders, Manufacturing Orders, plus custom fields where Infor M3 exposes them. On the Amazon S3 side: Buckets, Objects, Object metadata, Object tags. 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 496 integrations available for Amazon S3 and Infor M3.
Popular · 6 of 496
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Amazon S3 ⇄ Epicor ERP -
Amazon S3 ⇄ Extensiv (3PL Central) -
Amazon S3 ⇄ Fishbowl Manufacturing -
Infor M3 ⇄ Box -
Infor M3 ⇄ Sharepoint -
Infor M3 ⇄ Egnyte
No integrations match .
