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Storage ⇄ ERP

Amazon S3 to SAP integration — real-time, two-way sync

Keep Amazon S3 and SAP 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 SAP

Move the documents and data that SAP produces into Amazon S3 as files, and let files stored in Amazon S3 update the records they belong to in SAP, continuously and without exports or manual filing.

SAP runs the business on structured records: Billing Documents, GL Accounts and Journal Entries, Production Orders, Inventory / Stock. Amazon S3 holds files and the metadata that describes them: Object tags, Object versions, Prefixes (folders), Multipart uploads. The two do not share a customer table or an order ledger. What they share is documents. Nearly every record SAP 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 SAP 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 Billing Documents, GL Accounts and Journal Entries, Production Orders, Inventory / Stock in SAP and Object tags, Object versions, Prefixes (folders), Multipart uploads 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 SAP. 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 SAP and the file in Amazon S3 never describe two different versions of the same document.

Common use cases

  • 01 Keep MES and WMS systems aligned with production orders and goods movements.
  • 02 Expose sales order and delivery status to customer portals through a synced Postgres database instead of direct SAP access.
  • 03 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.
  • 04 Reconcile Object versions and delete markers into an audit table so teams track when files under a compliance prefix were added, replaced, or removed.

Common sync patterns

Documents filed with their context

Files that SAP produces land in Amazon S3 labeled with the customer, document type, and reference number they belong to, so the right copy is one search away instead of buried in a folder.

Metadata that files itself

Record fields from SAP, 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 SAP, so a document captured outside the finance system still reaches the books.

What you can sync between Amazon S3 and SAP

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 SAP objects How this pairing syncs
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. Sales Orders Order documents written from external channels and read for status and fulfillment. Object versions is specific to Amazon S3 and Sales Orders to SAP — 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. Purchase Orders Procurement documents synced with supplier portals and spend tools. Prefixes (folders) is specific to Amazon S3 and Purchase Orders to SAP — 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. Outbound Deliveries Shipment documents synced to WMS, carriers, and customer portals. Multipart uploads is specific to Amazon S3 and Outbound Deliveries to SAP — 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. Billing Documents Invoices read for AR status and replicated for revenue reporting. Buckets is specific to Amazon S3 and Billing Documents to SAP — 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. GL Accounts and Journal Entries Financial postings replicated to warehouses for group finance analytics. Objects is specific to Amazon S3 and GL Accounts and Journal Entries to SAP — each maps to any object or custom field on the other side.
Object metadata System metadata (Content-Type, size, ETag, LastModified) plus user-defined x-amz-meta-* headers; user metadata is fixed at write time and only changeable by rewriting the object. Production Orders Manufacturing orders exchanged with MES and scheduling systems. Object metadata is specific to Amazon S3 and Production Orders to SAP — each maps to any object or custom field on the other side.

How changes propagate between Amazon S3 and SAP

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 SAP 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 SAP through its API, with automatic retries and rate-limit backoff.

SAP Amazon S3 Sub-second propagation

DetectionSAP notifies Stacksync of record changes through webhook events. Business events via SAP Event Mesh on S/4HANA.

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.
  • SAP: Throttling is configured at the gateway and tenant level rather than as a single published rate limit.
What ships with Amazon S3 ⇄ SAP

Connect Amazon S3 and SAP for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Amazon S3–SAP connection.

Real-time

Two-way sync

Changes in Amazon S3 or SAP instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Amazon S3 or SAP 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 SAP record.

Observability

Monitoring

Track your Amazon S3 ⇄ SAP 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 SAP.

How the Amazon S3 and SAP 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.

SAP

Integration surface
OData (v2/v4) APIs on S/4HANA; BAPI/RFC and IDoc on ECC and on-prem systems; SOAP services
Authentication
OAuth 2.0 or basic auth via communication arrangements on cloud editions; SAP user credentials for RFC on-prem
Change detection
Business events via SAP Event Mesh on S/4HANA; change pointers with IDocs or timestamp polling on ECC
Capabilities
read · write · webhooks
Rate limits
Throttling is configured at the gateway and tenant level rather than as a single published rate limit
How it works

How to connect Amazon S3 to SAP — 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.

  1. 01

    Connect your apps

    Authenticate Amazon S3 and SAP with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.

    • OAuth 2.0
    • SSH tunnel
    • VPC peering
    Amazon S3 connected
    SAP connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Amazon S3 and SAP 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.

    • Standard objects
    • Custom objects
    • Auto-schema
    objects · Amazon S3 ⇄ SAP
    Customers 12,480
    Sales Orders 8,213
    Invoices 5,902
    Items 1,344
  3. 03

    Map fields

    Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.

    • Auto-map
    • Type casting
    • Transforms
    Amazon S3 SAP
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
FAQ

Amazon S3 and SAP integration FAQ

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 521 integrations available for Amazon S3 and SAP.

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