Two-way sync
Changes in Amazon DynamoDB or SAP instantly reflect in both systems. No stale data, no manual imports.
Keep Amazon DynamoDB 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.
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 Outbound Deliveries, Billing Documents, GL Accounts and Journal Entries, Production Orders from SAP into Amazon DynamoDB and keeps both sides consistent in real time. Whatever SAP 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 with its validations respected.
Updates in SAP arrive as row changes in Amazon DynamoDB, so jobs and triggers can respond as the business record changes.
Worker and org records stay current in Amazon DynamoDB for provisioning, access, and reporting systems that read from the database.
Choose exactly which tables and fields may flow from Amazon DynamoDB back into SAP, keeping the ERP authoritative.
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 objects | How this pairing syncs | |
|---|---|---|---|
| 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. | Outbound Deliveries Shipment documents synced to WMS, carriers, and customer portals. | Global Tables is specific to Amazon DynamoDB and Outbound Deliveries to SAP — 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. | Billing Documents Invoices read for AR status and replicated for revenue reporting. | Time to Live (TTL) is specific to Amazon DynamoDB and Billing Documents to SAP — 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. | GL Accounts and Journal Entries Financial postings replicated to warehouses for group finance analytics. | Tables is specific to Amazon DynamoDB and GL Accounts and Journal Entries to SAP — 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. | Production Orders Manufacturing orders exchanged with MES and scheduling systems. | Items is specific to Amazon DynamoDB and Production Orders to SAP — 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. | Inventory / Stock Plant and storage-location quantities synced to storefronts and planning tools. | Global secondary indexes (GSIs) is specific to Amazon DynamoDB and Inventory / Stock to SAP — each maps to any object or custom field on the other side. | |
| Local secondary indexes (LSIs) Extra sort keys within the same partition key, defined at table creation; queried like the base table for alternate access patterns. | Cost Centers Controlling masters read for mapping costs in finance integrations. | Local secondary indexes (LSIs) is specific to Amazon DynamoDB and Cost Centers 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.
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 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 applied to Amazon DynamoDB as a row-level write, with types converted between the two schemas.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Amazon DynamoDB–SAP connection.
Changes in Amazon DynamoDB or SAP instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Amazon DynamoDB 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 DynamoDB or SAP record.
Track your Amazon DynamoDB ⇄ SAP sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Amazon DynamoDB 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 DynamoDB 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 DynamoDB 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 DynamoDB and SAP: authenticate both systems, choose the objects to sync (such as Amazon DynamoDB's Global Tables and Time to Live (TTL)), map fields visually, and changes propagate both ways in milliseconds — no code required.
Yes — Stacksync ships production-grade connectors for both Amazon DynamoDB and SAP. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on Amazon DynamoDB: 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. 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.
On the Amazon DynamoDB side: Items, Global secondary indexes (GSIs), Local secondary indexes (LSIs), DynamoDB Streams, plus custom fields where Amazon DynamoDB exposes them. On the SAP side: Outbound Deliveries, Billing Documents, GL Accounts and Journal Entries, Production Orders. Stacksync auto-detects both schemas and converts types between the two systems.
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.
Common patterns for Amazon DynamoDB and SAP: React to ERP changes; Where SAP is the HR system of record: people data for internal systems; Controlled write-back. Updates in SAP arrive as row changes in Amazon DynamoDB, so jobs and triggers can respond as the business record changes.
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.
Securely connects to your systems with:
Every pair below is a real-time, two-way sync. Search all 562 integrations available for Amazon DynamoDB and SAP.