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Database ⇄ ERP

AWS Aurora MySQL to Blue Yonder WMS integration — real-time, two-way sync

Keep AWS Aurora MySQL 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.

  • SOC 2 and 6 other compliance frameworks
  • POC with real engineers in minutes

Adopted by fast-scaling companies moving mission-critical data in real time

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Why teams connect AWS Aurora MySQL and Blue Yonder WMS

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

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 Items / SKUs, Inventory balances, Inbound shipments (ASNs), Purchase orders from Blue Yonder WMS into AWS Aurora MySQL 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 AWS Aurora MySQL sync back into Blue Yonder WMS with its validations respected.

Common use cases

  • Give backend services read and write access to ERP or billing data by syncing it into Aurora tables the application already queries.
  • Stream row changes from Aurora into SaaS tools via binlog CDC instead of scheduled batch exports.
  • Keep the item master aligned between the ERP and the WMS so new SKUs are receivable on day one.
  • Feed shipment events into a customer-facing database for order tracking.

React to ERP changes

Updates in Blue Yonder WMS arrive as row changes in AWS Aurora MySQL, so jobs and triggers can respond as the business record changes.

Where Blue Yonder WMS is the HR system of record: people data for internal systems

Worker and org records stay current in AWS Aurora MySQL for provisioning, access, and reporting systems that read from the database.

Controlled write-back

Choose exactly which tables and fields may flow from AWS Aurora MySQL back into Blue Yonder WMS, keeping the ERP authoritative.

What you can sync between AWS Aurora MySQL and Blue Yonder WMS

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 Blue Yonder WMS objects
Rows Inserted, updated, and deleted individually or in bulk during two-way syncs. Inventory balances On-hand quantities by location and lot, synced outward for availability and planning.
Columns MySQL data types are mapped to the paired system's field types during schema setup. Inbound shipments (ASNs) Advance ship notices created from purchase orders to drive receiving.
Primary keys and indexes Used to match rows across systems and keep incremental syncs efficient. Purchase orders Expected receipts pushed from the ERP so the warehouse can plan inbound work.
Views Can serve as read-only sync sources for derived or filtered datasets. Outbound orders Pick, pack, and ship instructions created from sales orders in the ERP or OMS.
Foreign keys Express relationships that syncs preserve when mapping to related objects elsewhere. Shipments and shipment confirmations Completed outbound events synced back to update order status and trigger invoicing.
Stored procedures and triggers Existing database logic keeps firing on rows written by a sync. Locations and facilities Warehouse, zone, and bin structures referenced by every inventory transaction.
What ships with AWS Aurora MySQL ⇄ Blue Yonder WMS

Connect AWS Aurora MySQL and Blue Yonder WMS for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every AWS Aurora MySQL–Blue Yonder WMS connection.

Real-time

Two-way sync

Changes in AWS Aurora MySQL or Blue Yonder WMS 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 Blue Yonder WMS 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 Blue Yonder WMS record.

Observability

Monitoring

Track your AWS Aurora MySQL ⇄ Blue Yonder WMS 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 Blue Yonder WMS.

How the AWS Aurora MySQL and Blue Yonder WMS 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

Blue Yonder WMS

Integration surface
REST APIs on Blue Yonder's cloud platform (formerly branded Luminate); long-standing WMS deployments also expose MOCA-based integration interfaces
Authentication
Token-based authentication; specifics vary by deployment and platform edition
Change detection
Polling and scheduled extracts; event-style feeds depend on the deployment
Capabilities
read · write
Rate limits
Subject to the platform's API rate limits, which vary by contract and hosting model
How it works

How to connect AWS Aurora MySQL to Blue Yonder WMS — 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 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.

    • OAuth 2.0
    • SSH tunnel
    • VPC peering
    AWS Aurora MySQL connected
    Blue Yonder WMS connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the AWS Aurora MySQL 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.

    • Standard objects
    • Custom objects
    • Auto-schema
    objects · AWS Aurora MySQL ⇄ Blue Yonder WMS
    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 Blue Yonder WMS
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
FAQ

AWS Aurora MySQL and Blue Yonder WMS integration FAQ

SECURITY

Security teams love 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
CSA STAR
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 386 integrations available for AWS Aurora MySQL and Blue Yonder WMS.

Popular · 8 of 386
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