Two-way sync
Changes in Amazon S3 or SAP instantly reflect in both systems. No stale data, no manual imports.
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.
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.
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.
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.
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.
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. |
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.
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.
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.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Amazon S3–SAP connection.
Changes in Amazon S3 or SAP instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Amazon S3 or SAP data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Amazon S3 or SAP record.
Track your Amazon S3 ⇄ SAP sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Amazon S3 and SAP.
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.
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.
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.
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Yes. Stacksync provides a managed, real-time two-way integration between Amazon S3 and SAP: authenticate both systems, choose the objects to sync (such as Amazon S3's Object versions and Prefixes (folders)), map fields visually, and changes propagate both ways in milliseconds — no code required.
SAP: On ECC, writes go through BAPIs or IDocs so document flow and posting logic are enforced; direct writes to database tables are not a supported path. Amazon S3: S3 provides strong read-after-write consistency for all operations, but it has no built-in change feed — near-real-time detection depends on S3 Event Notifications or EventBridge being configured on the bucket. Stacksync's field mapping accounts for these differences between Amazon S3 and SAP without custom code.
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 SAP records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Amazon S3 and SAP connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Amazon S3–SAP integration in-house.
Yes — Stacksync ships production-grade connectors for both Amazon S3 and SAP. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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 SAP: Business events via SAP Event Mesh on S/4HANA; change pointers with IDocs or timestamp polling on ECC. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
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.
Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.
Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.
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Every pair below is a real-time, two-way sync. Search all 521 integrations available for Amazon S3 and SAP.