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ERP ⇄ Database

Blue Yonder WMS to Postgres Heroku integration — real-time, two-way sync

Keep Blue Yonder WMS and Postgres Heroku 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 Blue Yonder WMS and Postgres Heroku

Give your engineers Blue Yonder WMS's data in Postgres Heroku: 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 Inventory balances, Inbound shipments (ASNs), Purchase orders, Outbound orders from Blue Yonder WMS into Postgres Heroku 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 Postgres Heroku sync back into Blue Yonder WMS with its validations respected.

Common use cases

  • Reflect billing and subscription records into the app database so product logic reads local rows
  • Expose CRM objects as Postgres tables the Heroku application can query and join directly
  • 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.

Read ERP records with a query

Records from Blue Yonder WMS live in Postgres Heroku as ordinary tables or collections, joinable with the rest of your data.

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 Postgres Heroku, so jobs and triggers can respond as the business record changes.

What you can sync between Blue Yonder WMS and Postgres Heroku

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.

Blue Yonder WMS objects Postgres Heroku objects
Inbound shipments (ASNs) Advance ship notices created from purchase orders to drive receiving. JSONB Columns Semi-structured payloads for nested SaaS objects and metadata.
Purchase orders Expected receipts pushed from the ERP so the warehouse can plan inbound work. Sequences Generate surrogate keys for rows created by inbound syncs.
Outbound orders Pick, pack, and ship instructions created from sales orders in the ERP or OMS. Follower Databases Heroku-managed read replicas usable as low-impact sync sources.
Shipments and shipment confirmations Completed outbound events synced back to update order status and trigger invoicing. Tables Standard Postgres tables; the primary two-way sync target for app data.
Locations and facilities Warehouse, zone, and bin structures referenced by every inventory transaction. Views Read-side projections exposed to outbound syncs.
Receipts Confirmed inbound quantities written back to close purchase order lines. Materialized Views Precomputed result sets synced outward on refresh.
What ships with Blue Yonder WMS ⇄ Postgres Heroku

Connect Blue Yonder WMS and Postgres Heroku for flexible, real-time data sync.

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

Real-time

Two-way sync

Changes in Blue Yonder WMS or Postgres Heroku instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Blue Yonder WMS or Postgres Heroku 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 Blue Yonder WMS or Postgres Heroku record.

Observability

Monitoring

Track your Blue Yonder WMS ⇄ Postgres Heroku sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Blue Yonder WMS and Postgres Heroku.

How the Blue Yonder WMS and Postgres Heroku connectors work

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

Postgres Heroku

Integration surface
SQL wire protocol (standard PostgreSQL)
Authentication
Database credentials from the Heroku DATABASE_URL config var; SSL required
Change detection
Trigger-based capture or polling in most configurations; log-based logical replication availability depends on plan and Heroku's managed server settings
Capabilities
read · write
Rate limits
No API rate limits; connection counts and performance are bounded by the Heroku Postgres plan
How it works

How to connect Blue Yonder WMS to Postgres Heroku — 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 Blue Yonder WMS and Postgres Heroku 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
    Blue Yonder WMS connected
    Postgres Heroku connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Blue Yonder WMS and Postgres Heroku 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 · Blue Yonder WMS ⇄ Postgres Heroku
    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
    Blue Yonder WMS Postgres Heroku
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Blue Yonder WMS and Postgres Heroku 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.

Learn more about security
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:

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 386 integrations available for Blue Yonder WMS and Postgres Heroku.

Popular · 8 of 386
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