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.
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.
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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 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
- 01 Give backend services read and write access to ERP or billing data by syncing it into Aurora tables the application already queries.
- 02 Stream row changes from Aurora into SaaS tools via binlog CDC instead of scheduled batch exports.
- 03 Keep the item master aligned between the ERP and the WMS so new SKUs are receivable on day one.
- 04 Feed shipment events into a customer-facing database for order tracking.
Common sync patterns
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 | How this pairing syncs | |
|---|---|---|---|
| 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. | Rows is specific to AWS Aurora MySQL and Inventory balances to Blue Yonder WMS — 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. | Inbound shipments (ASNs) Advance ship notices created from purchase orders to drive receiving. | Columns is specific to AWS Aurora MySQL and Inbound shipments (ASNs) to Blue Yonder WMS — 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. | Purchase orders Expected receipts pushed from the ERP so the warehouse can plan inbound work. | Primary keys and indexes is specific to AWS Aurora MySQL and Purchase orders to Blue Yonder WMS — 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. | Outbound orders Pick, pack, and ship instructions created from sales orders in the ERP or OMS. | Views is specific to AWS Aurora MySQL and Outbound orders to Blue Yonder WMS — 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. | Shipments and shipment confirmations Completed outbound events synced back to update order status and trigger invoicing. | Foreign keys is specific to AWS Aurora MySQL and Shipments and shipment confirmations to Blue Yonder WMS — 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. | Locations and facilities Warehouse, zone, and bin structures referenced by every inventory transaction. | Stored procedures and triggers is specific to AWS Aurora MySQL and Locations and facilities to Blue Yonder WMS — each maps to any object or custom field on the other side. |
How changes propagate between AWS Aurora MySQL and Blue Yonder WMS
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 Blue Yonder WMS 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 Blue Yonder WMS through its API, with automatic retries and rate-limit backoff.
Blue Yonder WMS AWS Aurora MySQL Interval-based propagation
DetectionStacksync polls Blue Yonder WMS for changes on an incremental schedule, reading only records changed since the previous pass. Polling and scheduled extracts.
DeliveryEach detected change is applied to AWS Aurora MySQL as a row-level write, with types converted between the two schemas.
Rate-limit considerations
- Blue Yonder WMS: Subject to the platform's API rate limits, which vary by contract and hosting model.
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.
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.
- 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.
AWS Aurora MySQL
connected
Blue Yonder WMS
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 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.
objects · AWS Aurora MySQL ⇄ Blue Yonder WMSCustomers 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 Blue Yonder WMSCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
AWS Aurora MySQL and Blue Yonder WMS integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between AWS Aurora MySQL and Blue Yonder WMS: 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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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.
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Common patterns for AWS Aurora MySQL and Blue Yonder WMS: React to ERP changes; Where Blue Yonder WMS is the HR system of record: people data for internal systems; Controlled write-back. Updates in Blue Yonder WMS arrive as row changes in AWS Aurora MySQL, so jobs and triggers can respond as the business record changes.
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AWS Aurora MySQL: SQL wire protocol (MySQL-compatible), standard MySQL drivers and JDBC. Authentication: Database credentials, optionally AWS IAM database authentication, over TLS. Blue Yonder WMS: 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. Stacksync manages authentication, retries, and rate limits on both sides.
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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. Blue Yonder WMS: Blue Yonder has been owned by Panasonic since 2021 and packages WMS alongside its supply chain planning suite. Stacksync's field mapping accounts for these differences between AWS Aurora MySQL and Blue Yonder WMS 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 Blue Yonder WMS records are not retained after a sync operation.
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 347 integrations available for AWS Aurora MySQL and Blue Yonder WMS.
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