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Database ⇄ ERP

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

Keep AWS Aurora PostgreSQL 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 PostgreSQL and Blue Yonder WMS

Give your engineers Blue Yonder WMS's data in AWS Aurora PostgreSQL: 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 Purchase orders, Outbound orders, Shipments and shipment confirmations, Locations and facilities from Blue Yonder WMS into AWS Aurora PostgreSQL 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 PostgreSQL sync back into Blue Yonder WMS with its validations respected.

Common use cases

  • 01 Expose ERP records such as customers, orders, and invoices as Postgres tables the engineering team can query and update with plain SQL.
  • 02 Capture row-level changes with logical replication and propagate them to SaaS tools without batch jobs.
  • 03 Mirror WMS inventory balances into a warehouse or ERP so planning and finance see the same on-hand numbers.
  • 04 Keep the item master aligned between the ERP and the WMS so new SKUs are receivable on day one.

Common sync patterns

Internal tools and automations without API code

Scripts and services read and write the synced tables; Stacksync handles the Blue Yonder WMS interface, limits, and retries.

React to ERP changes

Updates in Blue Yonder WMS arrive as row changes in AWS Aurora PostgreSQL, 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 PostgreSQL for provisioning, access, and reporting systems that read from the database.

What you can sync between AWS Aurora PostgreSQL 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 PostgreSQL objects Blue Yonder WMS objects How this pairing syncs
Foreign keys Relationship metadata that syncs can translate into object references elsewhere. Receipts Confirmed inbound quantities written back to close purchase order lines. Foreign keys is specific to AWS Aurora PostgreSQL and Receipts to Blue Yonder WMS — each maps to any object or custom field on the other side.
Replication slots and publications The logical replication objects that power log-based CDC. Items / SKUs Product master records that must match the ERP item master for warehouse operations to reconcile. Replication slots and publications is specific to AWS Aurora PostgreSQL and Items / SKUs to Blue Yonder WMS — each maps to any object or custom field on the other side.
Databases and schemas PostgreSQL's two-level namespace scopes which tables a sync connection targets. Inventory balances On-hand quantities by location and lot, synced outward for availability and planning. Databases and schemas is specific to AWS Aurora PostgreSQL and Inventory balances to Blue Yonder WMS — each maps to any object or custom field on the other side.
Tables The core sync unit; rows are matched across systems by primary key. Inbound shipments (ASNs) Advance ship notices created from purchase orders to drive receiving. Tables is specific to AWS Aurora PostgreSQL and Inbound shipments (ASNs) to Blue Yonder WMS — each maps to any object or custom field on the other side.
Rows Inserted, updated, and deleted in both directions during bi-directional syncs. Purchase orders Expected receipts pushed from the ERP so the warehouse can plan inbound work. Rows is specific to AWS Aurora PostgreSQL and Purchase orders to Blue Yonder WMS — each maps to any object or custom field on the other side.
Columns Rich Postgres types including JSONB and arrays are mapped to the paired system's fields. Outbound orders Pick, pack, and ship instructions created from sales orders in the ERP or OMS. Columns is specific to AWS Aurora PostgreSQL and Outbound orders to Blue Yonder WMS — each maps to any object or custom field on the other side.

How changes propagate between AWS Aurora PostgreSQL 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 PostgreSQL Blue Yonder WMS Sub-second propagation

DetectionChanges in AWS Aurora PostgreSQL are captured at the source via change data capture — no polling loop against its API. Log-based CDC via PostgreSQL logical replication (WAL decoding through replication slots), with timestamp polling 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 PostgreSQL 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 PostgreSQL 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 PostgreSQL ⇄ Blue Yonder WMS

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

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

Real-time

Two-way sync

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

Observability

Monitoring

Track your AWS Aurora PostgreSQL ⇄ 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 PostgreSQL and Blue Yonder WMS.

How the AWS Aurora PostgreSQL and Blue Yonder WMS connectors work

AWS Aurora PostgreSQL

Integration surface
SQL wire protocol (PostgreSQL-compatible), standard Postgres drivers and JDBC
Authentication
Database credentials, optionally AWS IAM database authentication, over TLS
Change detection
Log-based CDC via PostgreSQL logical replication (WAL decoding through replication slots), with timestamp polling 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 PostgreSQL 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 PostgreSQL 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 PostgreSQL connected
    Blue Yonder WMS connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the AWS Aurora PostgreSQL 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 PostgreSQL ⇄ 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 PostgreSQL Blue Yonder WMS
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

AWS Aurora PostgreSQL and Blue Yonder WMS 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.

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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 349 integrations available for AWS Aurora PostgreSQL and Blue Yonder WMS.

Popular · 5 of 349
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