Real-time
Two-way sync
Changes in AWS Aurora MySQL or SAP S/4HANA instantly reflect in both systems. No stale data, no manual imports.
Database ⇄ ERP
AWS Aurora MySQL to SAP S/4HANA integration — real-time, two-way sync
Keep AWS Aurora MySQL 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 AWS Aurora MySQL and SAP S/4HANA
Give your engineers SAP S/4HANA's data in AWS Aurora MySQL: read it with normal queries, write back through the sync, and skip the ERP API entirely.
Teams connect SAP S/4HANA to AWS Aurora MySQL to work with core ERP objects — Business Partners, Sales Orders, and Products / Materials — as SQL Tables and Rows. This gives integration and data teams direct relational access for reporting and system integration without custom API development against S/4HANA.
Stacksync mirrors Journal Entries, Customer / Supplier Roles, Production Orders, Business Partners from SAP S/4HANA into AWS Aurora MySQL 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 AWS Aurora MySQL sync back into SAP S/4HANA with its validations respected.
Common use cases
- 01 Serve custom applications Business Partner data from Aurora Views instead of direct S/4HANA calls.
- 02 Track order-to-delivery status by joining Sales Orders and Deliveries in the database.
- 03 Consolidate Purchase Orders from S/4HANA with supplier data already stored in Aurora.
- 04 Let operations teams edit records in a spreadsheet-style tool with changes written back to Aurora safely.
Common sync patterns
Sales order pipeline
Sales Orders written as Aurora Rows flow into SAP S/4HANA, with Deliveries and Billing Documents (Invoices) syncing back.
Material master replication
Products / Materials replicate into Aurora Tables with Columns and indexes maintained for downstream consumers.
Financial document reporting
Billing Documents (Invoices) sync to Aurora for SQL-based revenue and reconciliation queries.
What you can sync between AWS Aurora MySQL 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.
| AWS Aurora MySQL objects | SAP S/4HANA objects | How this pairing syncs | |
|---|---|---|---|
| Rows Inserted, updated, and deleted individually or in bulk during two-way syncs. | Products / Materials Material master data distributed to e-commerce, PIM, and CRM catalogs. | Rows is specific to AWS Aurora MySQL and Products / Materials to SAP S/4HANA — each maps to any object or custom field on the other side. | |
| Columns MySQL data types are mapped to the paired system's field types during schema setup. | Billing Documents (Invoices) Invoice data pushed to CRMs and payment or collections tools for finance visibility. | Columns is specific to AWS Aurora MySQL and Billing Documents (Invoices) to SAP S/4HANA — each maps to any object or custom field on the other side. | |
| Primary keys and indexes Used to match rows across systems and keep incremental syncs efficient. | Deliveries Outbound delivery status synced to customer-facing systems for order tracking. | Primary keys and indexes is specific to AWS Aurora MySQL and Deliveries to SAP S/4HANA — each maps to any object or custom field on the other side. | |
| Views Can serve as read-only sync sources for derived or filtered datasets. | Journal Entries Financial postings read into warehouses and consolidation tools for reporting. | Views is specific to AWS Aurora MySQL and Journal Entries to SAP S/4HANA — each maps to any object or custom field on the other side. | |
| Foreign keys Express relationships that syncs preserve when mapping to related objects elsewhere. | Customer / Supplier Roles Role-specific views of Business Partners mapped to CRM account types. | Foreign keys is specific to AWS Aurora MySQL and Customer / Supplier Roles to SAP S/4HANA — each maps to any object or custom field on the other side. | |
| Stored procedures and triggers Existing database logic keeps firing on rows written by a sync. | Production Orders Manufacturing order status surfaced in planning and operations tools. | Stored procedures and triggers is specific to AWS Aurora MySQL and Production Orders to SAP S/4HANA — each maps to any object or custom field on the other side. |
How changes propagate between AWS Aurora MySQL 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.
AWS Aurora MySQL SAP S/4HANA Sub-second propagation
DetectionChanges in AWS Aurora MySQL are captured at the source via change data capture — no polling loop against its API. Log-based CDC via the MySQL binary log (binlog), with polling on timestamp columns as a fallback.
DeliveryEach detected change is written to SAP S/4HANA through its API, with automatic retries and rate-limit backoff.
SAP S/4HANA AWS Aurora MySQL 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 AWS Aurora MySQL as a row-level write, with types converted between the two schemas.
Rate-limit considerations
- SAP S/4HANA: Subject to the platform's API rate limits, which vary by edition and communication arrangement.
What ships with AWS Aurora MySQL ⇄ SAP S/4HANA
Connect AWS Aurora MySQL and SAP S/4HANA for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every AWS Aurora MySQL–SAP S/4HANA connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever AWS Aurora MySQL 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 AWS Aurora MySQL or SAP S/4HANA record.
Observability
Monitoring
Track your AWS Aurora MySQL ⇄ 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 AWS Aurora MySQL and SAP S/4HANA.
How the AWS Aurora MySQL and SAP S/4HANA connectors work
AWS Aurora MySQL
- Integration surface
- SQL wire protocol (MySQL-compatible), standard MySQL drivers and JDBC
- Authentication
- Database credentials, optionally AWS IAM database authentication, over TLS
- Change detection
- Log-based CDC via the MySQL binary log (binlog), with polling on timestamp columns as a fallback
- Capabilities
- read · write · CDC
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 AWS Aurora MySQL 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.
- 01
Connect your apps
Authenticate AWS Aurora MySQL 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.
AWS Aurora MySQL
connected
SAP S/4HANA
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the AWS Aurora MySQL 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.
objects · AWS Aurora MySQL ⇄ SAP S/4HANACustomers 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.
AWS Aurora MySQL SAP S/4HANACompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
AWS Aurora MySQL and SAP S/4HANA integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between AWS Aurora MySQL and SAP S/4HANA: authenticate both systems, choose the objects to sync (such as AWS Aurora MySQL's Rows and Columns), map fields visually, and changes propagate both ways in milliseconds — no code required.
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AWS Aurora MySQL: Aurora separates compute from a distributed storage layer that replicates data six ways across three Availability Zones, independent of the instances that CDC readers and sync writers connect to. SAP S/4HANA: Released integration APIs are published as OData services in the SAP Business Accelerator Hub, backed by CDS views. Stacksync's field mapping accounts for these differences between AWS Aurora MySQL and SAP S/4HANA without custom code.
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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 AWS Aurora MySQL and SAP S/4HANA 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 AWS Aurora MySQL and SAP S/4HANA connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom AWS Aurora MySQL–SAP S/4HANA integration in-house.
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Yes — Stacksync ships production-grade connectors for both AWS Aurora MySQL and SAP S/4HANA. 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 AWS Aurora MySQL: Log-based CDC via the MySQL binary log (binlog), with polling on timestamp columns as a fallback. On SAP S/4HANA: Polling on change timestamps exposed by the OData services; business events can be emitted through SAP's event infrastructure on cloud editions. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
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 453 integrations available for AWS Aurora MySQL and SAP S/4HANA.
Popular · 5 of 453
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AWS Aurora MySQL ⇄ NetSuite -
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