Two-way sync
Changes in Amazon Aurora or Blue Yonder WMS instantly reflect in both systems. No stale data, no manual imports.
Keep Amazon Aurora and Blue Yonder WMS 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 Receipts, Items / SKUs, Inventory balances, Inbound shipments (ASNs) from Blue Yonder WMS into Amazon Aurora and keeps both sides consistent in real time. Whatever Blue Yonder WMS 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 Blue Yonder WMS with its validations respected.
Choose exactly which tables and fields may flow from Amazon Aurora back into Blue Yonder WMS, keeping the ERP authoritative.
Records from Blue Yonder WMS 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 Blue Yonder WMS 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 | Blue Yonder WMS objects | |
|---|---|---|
| Schemas Namespaces (PostgreSQL) or database-level grouping (MySQL) used in table selection. | Outbound orders Pick, pack, and ship instructions created from sales orders in the ERP or OMS. | |
| Tables Relational tables synced bi-directionally at row level. | Shipments and shipment confirmations Completed outbound events synced back to update order status and trigger invoicing. | |
| Views Read-only query-backed sources for downstream syncs. | Locations and facilities Warehouse, zone, and bin structures referenced by every inventory transaction. | |
| Materialized Views Precomputed result sets (PostgreSQL-compatible clusters) readable as sources. | Receipts Confirmed inbound quantities written back to close purchase order lines. | |
| Columns and Data Types Standard MySQL or PostgreSQL types mapped during field mapping. | Items / SKUs Product master records that must match the ERP item master for warehouse operations to reconcile. | |
| Primary and Foreign Keys Constraints used to identify records and preserve relational integrity in syncs. | Inventory balances On-hand quantities by location and lot, synced outward for availability and planning. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Amazon Aurora–Blue Yonder WMS connection.
Changes in Amazon Aurora or Blue Yonder WMS instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Amazon Aurora or Blue Yonder WMS 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 Blue Yonder WMS record.
Track your Amazon Aurora ⇄ Blue Yonder WMS sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Amazon Aurora and Blue Yonder WMS.
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 Blue Yonder WMS 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 Blue Yonder WMS 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 Blue Yonder WMS: authenticate both systems, choose the objects to sync (such as Amazon Aurora's Schemas and Tables), 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 Blue Yonder WMS connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Amazon Aurora–Blue Yonder WMS integration in-house.
Yes — Stacksync ships production-grade connectors for both Amazon Aurora and Blue Yonder WMS. 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 Blue Yonder WMS: Polling and scheduled extracts; event-style feeds depend on the deployment. 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: Schemas, Tables, Views, Materialized Views, plus custom fields where Amazon Aurora exposes them. On the Blue Yonder WMS side: Receipts, Items / SKUs, Inventory balances, Inbound shipments (ASNs). 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 386 integrations available for Amazon Aurora and Blue Yonder WMS.