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Database ⇄ ERP

Amazon DynamoDB to SAP S/4HANA integration — real-time, two-way sync

Keep Amazon DynamoDB and SAP S/4HANA 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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Why teams connect Amazon DynamoDB and SAP S/4HANA

Give your engineers SAP S/4HANA's data in Amazon DynamoDB: read it with normal queries, write back through the sync, and skip the ERP API entirely.

ERP data sits behind interfaces built for the ERP's own modules, not for your internal systems. Teams that need those records, for reporting services, internal tools, or automations, end up writing integration code against a strict API and maintaining it through every upgrade.

Stacksync mirrors Products / Materials, Billing Documents (Invoices), Deliveries, Journal Entries from SAP S/4HANA into Amazon DynamoDB and keeps both sides consistent in real time. Whatever SAP S/4HANA is the system of record for, whether financials, operations, people, or procurement, those records become rows your code can query, and changes written in Amazon DynamoDB sync back into SAP S/4HANA with its validations respected.

Common use cases

  • 01 Backfill or migrate records into DynamoDB from another database using BatchWriteItem, then keep the two stores in continuous sync.
  • 02 Mirror a high-write DynamoDB table into a relational database so teams can join NoSQL application data against relational tables for reporting.
  • 03 Replicate material master and pricing data to e-commerce and quoting tools.
  • 04 Feed S/4HANA financial and logistics documents into a data warehouse for reporting without custom ABAP extracts.

Common sync patterns

Where SAP S/4HANA is the HR system of record: people data for internal systems

Worker and org records stay current in Amazon DynamoDB for provisioning, access, and reporting systems that read from the database.

Controlled write-back

Choose exactly which tables and fields may flow from Amazon DynamoDB back into SAP S/4HANA, keeping the ERP authoritative.

Read ERP records with a query

Records from SAP S/4HANA live in Amazon DynamoDB as ordinary tables or collections, joinable with the rest of your data.

What you can sync between Amazon DynamoDB and SAP S/4HANA

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 DynamoDB objects SAP S/4HANA objects How this pairing syncs
DynamoDB Streams Ordered item-level change records (INSERT, MODIFY, REMOVE) with old/new image views and 24-hour retention; the native change-data-capture source Stacksync reads for near-real-time sync. Journal Entries Financial postings read into warehouses and consolidation tools for reporting. DynamoDB Streams is specific to Amazon DynamoDB and Journal Entries to SAP S/4HANA — each maps to any object or custom field on the other side.
Global Tables Multi-region, active-active replicas of a table kept in sync by DynamoDB; each region is read and written locally with last-writer-wins conflict resolution. Customer / Supplier Roles Role-specific views of Business Partners mapped to CRM account types. Global Tables is specific to Amazon DynamoDB and Customer / Supplier Roles to SAP S/4HANA — each maps to any object or custom field on the other side.
Time to Live (TTL) Per-item expiry timestamps; DynamoDB deletes expired items in the background and emits a Streams REMOVE record for each deletion. Production Orders Manufacturing order status surfaced in planning and operations tools. Time to Live (TTL) is specific to Amazon DynamoDB and Production Orders to SAP S/4HANA — each maps to any object or custom field on the other side.
Tables Top-level containers, each with a partition key and optional sort key; Stacksync syncs a table as a stream of items with full read and write via PutItem, UpdateItem, and DeleteItem. Business Partners Unified customer and supplier master records, the anchor entity for CRM-to-ERP account syncs. Tables is specific to Amazon DynamoDB and Business Partners to SAP S/4HANA — each maps to any object or custom field on the other side.
Items Individual schemaless records (attributes up to 400 KB each); read with GetItem, Query, and Scan and written with PutItem or BatchWriteItem, so write is supported here. Sales Orders Order headers and line items synced to CRMs and fulfillment systems as they are created or amended. Items is specific to Amazon DynamoDB and Sales Orders to SAP S/4HANA — each maps to any object or custom field on the other side.
Global secondary indexes (GSIs) Alternate key projections that let you Query by non-key attributes without a full table Scan; read-only views maintained automatically by DynamoDB. Purchase Orders Procurement documents shared with supplier portals and spend-management tools. Global secondary indexes (GSIs) is specific to Amazon DynamoDB and Purchase Orders to SAP S/4HANA — each maps to any object or custom field on the other side.

How changes propagate between Amazon DynamoDB and SAP S/4HANA

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 DynamoDB SAP S/4HANA Sub-second propagation

DetectionChanges in Amazon DynamoDB are captured at the source via change data capture — no polling loop against its API. DynamoDB Streams emit ordered item-level change records (INSERT, MODIFY, REMOVE) with KEYS_ONLY, NEW_IMAGE, OLD_IMAGE, or NEW_AND_OLD_IMAGES views.

DeliveryEach detected change is written to SAP S/4HANA through its API, with automatic retries and rate-limit backoff.

SAP S/4HANA Amazon DynamoDB Interval-based propagation

DetectionStacksync polls SAP S/4HANA for changes on an incremental schedule, reading only records changed since the previous pass. Polling on change timestamps exposed by the OData services.

DeliveryEach detected change is applied to Amazon DynamoDB as a row-level write, with types converted between the two schemas.

Rate-limit considerations

  • Amazon DynamoDB: Throughput is metered in read/write capacity units (provisioned or on-demand): 1 WCU = one 1 KB write per second, 1 RCU = one strongly-consistent 4 KB read per second. Exceeding capacity or the ~3,000 RCU / 1,000 WCU per-partition ceiling returns ProvisionedThroughputExceededException with throttling.
  • SAP S/4HANA: Subject to the platform's API rate limits, which vary by edition and communication arrangement.
What ships with Amazon DynamoDB ⇄ SAP S/4HANA

Connect Amazon DynamoDB and SAP S/4HANA for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Amazon DynamoDB–SAP S/4HANA connection.

Real-time

Two-way sync

Changes in Amazon DynamoDB or SAP S/4HANA instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Amazon DynamoDB or SAP S/4HANA 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 DynamoDB or SAP S/4HANA record.

Observability

Monitoring

Track your Amazon DynamoDB ⇄ SAP S/4HANA sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Amazon DynamoDB and SAP S/4HANA.

How the Amazon DynamoDB and SAP S/4HANA connectors work

Amazon DynamoDB

Integration surface
AWS SDK / low-level HTTPS JSON API at dynamodb.<region>.amazonaws.com (PutItem, GetItem, UpdateItem, DeleteItem, Query, Scan, BatchWriteItem, TransactWriteItems), plus PartiQL (ExecuteStatement) for SQL-style access and DynamoDB Streams for change capture.
Authentication
AWS Signature Version 4 (SigV4) signed requests using an IAM access key ID and secret key, or temporary STS credentials from an assumed IAM role; IAM policies scope access down to table and item level.
Change detection
DynamoDB Streams emit ordered item-level change records (INSERT, MODIFY, REMOVE) with KEYS_ONLY, NEW_IMAGE, OLD_IMAGE, or NEW_AND_OLD_IMAGES views and 24-hour retention, read via shard iterators (or Kinesis Data Streams for longer retention). No native HTTP webhooks.
Capabilities
read · write · CDC
Rate limits
Throughput is metered in read/write capacity units (provisioned or on-demand): 1 WCU = one 1 KB write per second, 1 RCU = one strongly-consistent 4 KB read per second. Exceeding capacity or the ~3,000 RCU / 1,000 WCU per-partition ceiling returns ProvisionedThroughputExceededException with throttling.

SAP S/4HANA

Integration surface
OData REST APIs (v2/v4), with SOAP, BAPI/RFC, and IDoc interfaces on on-premise editions
Authentication
OAuth 2.0 with communication arrangements on cloud editions; basic auth or certificate-based on-premise
Change detection
Polling on change timestamps exposed by the OData services; business events can be emitted through SAP's event infrastructure on cloud editions
Capabilities
read · write
Rate limits
Subject to the platform's API rate limits, which vary by edition and communication arrangement
How it works

How to connect Amazon DynamoDB to SAP S/4HANA — 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 DynamoDB and SAP S/4HANA 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 DynamoDB connected
    SAP S/4HANA connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Amazon DynamoDB and SAP S/4HANA 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 DynamoDB ⇄ SAP S/4HANA
    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 DynamoDB SAP S/4HANA
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Amazon DynamoDB and SAP S/4HANA 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.

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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:

OAuth 2 SSH Tunnelling SSL certificates IP Whitelisting VPN gateway VPC peering and more

Related integrations

Every pair below is a real-time, two-way sync. Search all 541 integrations available for Amazon DynamoDB and SAP S/4HANA.

Popular · 6 of 541
All Amazon DynamoDB integrations All SAP S/4HANA integrations Browse all integrations
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