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Database ⇄ ERP

AWS Aurora MySQL to SAP Business One integration — real-time, two-way sync

Keep AWS Aurora MySQL and SAP Business One 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 AWS Aurora MySQL and SAP Business One

Give your engineers SAP Business One's data in AWS Aurora MySQL: read it with normal queries, write back through the sync, and skip the ERP API entirely.

Connecting SAP Business One to AWS Aurora MySQL exposes ERP records — Business Partners, Items, and Sales Orders — as database Tables and Rows. Operations and engineering teams query and update them in SQL, integrating the ERP with e-commerce, warehousing, and reporting systems without custom API development.

Stacksync mirrors Purchase Orders, Deliveries, Journal Entries, Warehouses from SAP Business One into AWS Aurora MySQL and keeps both sides consistent in real time. Whatever SAP Business One 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 Business One with its validations respected.

Common use cases

  • 01 Feed web storefronts Item availability from Aurora without direct load on SAP Business One.
  • 02 Reconcile Purchase Orders and Deliveries against logistics data held in the database.
  • 03 Maintain a single Business Partner master shared between the ERP and custom applications.
  • 04 Stream row changes from Aurora into SaaS tools via binlog CDC instead of scheduled batch exports.

Common sync patterns

Order flow integration

Sales Orders created as Aurora Rows by external systems sync into SAP Business One, and Deliveries sync back.

Item and partner master mirror

Items and Business Partners replicate into Aurora Tables for downstream systems to read.

Invoice reporting

A/R Invoices sync to Aurora for SQL-based receivables and margin reporting.

What you can sync between AWS Aurora MySQL and SAP Business One

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 Business One objects How this pairing syncs
Tables The primary sync unit; each table maps one-to-one to a table or object in the paired system. Business Partners Combined customer, vendor, and lead master records; the anchor object for most syncs. Tables is specific to AWS Aurora MySQL and Business Partners to SAP Business One — each maps to any object or custom field on the other side.
Rows Inserted, updated, and deleted individually or in bulk during two-way syncs. Items Product master data including inventory levels, aligned with e-commerce and warehouse systems. Rows is specific to AWS Aurora MySQL and Items to SAP Business One — 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. Sales Orders Order documents with header and line structure created from external channels. Columns is specific to AWS Aurora MySQL and Sales Orders to SAP Business One — 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. A/R Invoices Billing documents synced outward for CRM visibility and payment tracking. Primary keys and indexes is specific to AWS Aurora MySQL and A/R Invoices to SAP Business One — 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. Purchase Orders Procurement documents exchanged with supplier-facing tools. Views is specific to AWS Aurora MySQL and Purchase Orders to SAP Business One — 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. Deliveries Fulfillment documents read to update shipment status in external systems. Foreign keys is specific to AWS Aurora MySQL and Deliveries to SAP Business One — each maps to any object or custom field on the other side.

How changes propagate between AWS Aurora MySQL and SAP Business One

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

SAP Business One AWS Aurora MySQL Interval-based propagation

DetectionStacksync polls SAP Business One for changes on an incremental schedule, reading only records changed since the previous pass. Polling on update timestamps.

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

What ships with AWS Aurora MySQL ⇄ SAP Business One

Connect AWS Aurora MySQL and SAP Business One for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every AWS Aurora MySQL–SAP Business One connection.

Real-time

Two-way sync

Changes in AWS Aurora MySQL or SAP Business One instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever AWS Aurora MySQL or SAP Business One 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 Business One record.

Observability

Monitoring

Track your AWS Aurora MySQL ⇄ SAP Business One 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 Business One.

How the AWS Aurora MySQL and SAP Business One 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 Business One

Integration surface
Service Layer, a REST API based on OData, plus the legacy COM-based DI API
Authentication
Session-based login with company database, username, and password against the Service Layer
Change detection
Polling on update timestamps; no general-purpose webhook mechanism on the standard surface
Capabilities
read · write
How it works

How to connect AWS Aurora MySQL to SAP Business One — 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 AWS Aurora MySQL and SAP Business One 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
    AWS Aurora MySQL connected
    SAP Business One connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the AWS Aurora MySQL and SAP Business One 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 · AWS Aurora MySQL ⇄ SAP Business One
    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
    AWS Aurora MySQL SAP Business One
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

AWS Aurora MySQL and SAP Business One 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.

Learn more about security
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:

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 458 integrations available for AWS Aurora MySQL and SAP Business One.

Popular · 7 of 458
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