Two-way sync
Changes in Amazon Aurora or SAP Business One instantly reflect in both systems. No stale data, no manual imports.
Keep Amazon Aurora 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.
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 Activities, Business Partners, Items, Sales Orders from SAP Business One into Amazon Aurora 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 Amazon Aurora sync back into SAP Business One with its validations respected.
Choose exactly which tables and fields may flow from Amazon Aurora back into SAP Business One, keeping the ERP authoritative.
Records from SAP Business One live in Amazon Aurora as ordinary tables or collections, joinable with the rest of your data.
Scripts and services read and write the synced tables; Stacksync handles the SAP Business One interface, limits, and retries.
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 Aurora objects | SAP Business One objects | How this pairing syncs | |
|---|---|---|---|
| Databases Logical databases within a cluster that scope a sync connection. | Sales Orders Order documents with header and line structure created from external channels. | Databases is specific to Amazon Aurora and Sales Orders to SAP Business One — each maps to any object or custom field on the other side. | |
| Schemas Namespaces (PostgreSQL) or database-level grouping (MySQL) used in table selection. | A/R Invoices Billing documents synced outward for CRM visibility and payment tracking. | Schemas is specific to Amazon Aurora and A/R Invoices to SAP Business One — each maps to any object or custom field on the other side. | |
| Tables Relational tables synced bi-directionally at row level. | Purchase Orders Procurement documents exchanged with supplier-facing tools. | Tables is specific to Amazon Aurora and Purchase Orders to SAP Business One — each maps to any object or custom field on the other side. | |
| Views Read-only query-backed sources for downstream syncs. | Deliveries Fulfillment documents read to update shipment status in external systems. | Views is specific to Amazon Aurora and Deliveries to SAP Business One — each maps to any object or custom field on the other side. | |
| Materialized Views Precomputed result sets (PostgreSQL-compatible clusters) readable as sources. | Journal Entries GL postings replicated for financial reporting. | Materialized Views is specific to Amazon Aurora and Journal Entries to SAP Business One — each maps to any object or custom field on the other side. | |
| Columns and Data Types Standard MySQL or PostgreSQL types mapped during field mapping. | Warehouses Stock locations that scope inventory quantities in item syncs. | Columns and Data Types is specific to Amazon Aurora and Warehouses to SAP Business One — 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 Aurora are captured at the source via change data capture — no polling loop against its API. Log-based CDC: binlog on MySQL-compatible clusters, logical replication/decoding on PostgreSQL-compatible clusters.
DeliveryEach detected change is written to SAP Business One through its API, with automatic retries and rate-limit backoff.
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 Amazon Aurora 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 Aurora–SAP Business One connection.
Changes in Amazon Aurora or SAP Business One instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Amazon Aurora or SAP Business One 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 Aurora or SAP Business One record.
Track your Amazon Aurora ⇄ SAP Business One sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Amazon Aurora and SAP Business One.
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 Aurora 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.
Pick the Amazon Aurora 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.
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 Aurora and SAP Business One: authenticate both systems, choose the objects to sync (such as Amazon Aurora's Databases and Schemas), map fields visually, and changes propagate both ways in milliseconds — no code required.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Amazon Aurora and SAP Business One connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Amazon Aurora–SAP Business One integration in-house.
Yes — Stacksync ships production-grade connectors for both Amazon Aurora and SAP Business One. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on Amazon Aurora: Log-based CDC: binlog on MySQL-compatible clusters, logical replication/decoding on PostgreSQL-compatible clusters; polling as a fallback. On SAP Business One: Polling on update timestamps; no general-purpose webhook mechanism on the standard surface. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Amazon Aurora side: Views, Materialized Views, Columns and Data Types, Primary and Foreign Keys, plus custom fields where Amazon Aurora exposes them. On the SAP Business One side: Activities, Business Partners, Items, Sales 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.
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 442 integrations available for Amazon Aurora and SAP Business One.