Real-time
Two-way sync
Changes in Blue Yonder WMS or Neo4j instantly reflect in both systems. No stale data, no manual imports.
ERP ⇄ Database
Blue Yonder WMS to Neo4j integration — real-time, two-way sync
Keep Blue Yonder WMS and Neo4j 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
Case study
Migrated from MuleSoft
Case study
Migrated from Celigo
Migrated from Heroku Connect
Migrated from Matillion
Case study
Migrated from Fivetran
Case study
Migrated from Celigo
Why teams connect Blue Yonder WMS and Neo4j
Give your engineers Blue Yonder WMS's data in Neo4j: 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 Receipts, Items / SKUs, Inventory balances, Inbound shipments (ASNs) from Blue Yonder WMS into Neo4j 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 Neo4j sync back into Blue Yonder WMS with its validations respected.
Common use cases
- 01 Feed identity and access data into a graph for entitlement and blast-radius analysis.
- 02 Write computed relationship scores (fraud, influence, similarity) back to operational systems.
- 03 Push sales orders from an OMS into the WMS for fulfillment and return shipment confirmations with tracking numbers.
- 04 Mirror WMS inventory balances into a warehouse or ERP so planning and finance see the same on-hand numbers.
Common sync patterns
React to ERP changes
Updates in Blue Yonder WMS arrive as row changes in Neo4j, 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 Neo4j for provisioning, access, and reporting systems that read from the database.
Controlled write-back
Choose exactly which tables and fields may flow from Neo4j back into Blue Yonder WMS, keeping the ERP authoritative.
What you can sync between Blue Yonder WMS and Neo4j
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 | Neo4j objects | How this pairing syncs | |
|---|---|---|---|
| Receipts Confirmed inbound quantities written back to close purchase order lines. | Indexes & Constraints Uniqueness constraints and indexes that make MERGE-based upserts reliable and fast. | Receipts is specific to Blue Yonder WMS and Indexes & Constraints to Neo4j — each maps to any object or custom field on the other side. | |
| Items / SKUs Product master records that must match the ERP item master for warehouse operations to reconcile. | Databases Named databases in a single instance that scope multi-tenant or multi-domain syncs. | Items / SKUs is specific to Blue Yonder WMS and Databases to Neo4j — each maps to any object or custom field on the other side. | |
| Inventory balances On-hand quantities by location and lot, synced outward for availability and planning. | Users & Roles Security principals controlling what an integration credential can query or modify. | Inventory balances is specific to Blue Yonder WMS and Users & Roles to Neo4j — each maps to any object or custom field on the other side. | |
| Inbound shipments (ASNs) Advance ship notices created from purchase orders to drive receiving. | Nodes Entity records (customers, products, accounts) written from source systems as labeled nodes. | Inbound shipments (ASNs) is specific to Blue Yonder WMS and Nodes to Neo4j — each maps to any object or custom field on the other side. | |
| Purchase orders Expected receipts pushed from the ERP so the warehouse can plan inbound work. | Relationships Typed, directed edges that carry the connections syncs exist to model. | Purchase orders is specific to Blue Yonder WMS and Relationships to Neo4j — each maps to any object or custom field on the other side. | |
| Outbound orders Pick, pack, and ship instructions created from sales orders in the ERP or OMS. | Properties Key-value attributes on both nodes and relationships, mapped from source fields. | Outbound orders is specific to Blue Yonder WMS and Properties to Neo4j — each maps to any object or custom field on the other side. |
How changes propagate between Blue Yonder WMS and Neo4j
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.
Blue Yonder WMS Neo4j 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 written to Neo4j through its API, with automatic retries and rate-limit backoff.
Neo4j Blue Yonder WMS Sub-second propagation
DetectionChanges in Neo4j are captured at the source via change data capture — no polling loop against its API. Neo4j Change Data Capture on Enterprise and Aura streams graph changes.
DeliveryEach detected change is written to Blue Yonder WMS through its API, with automatic retries and rate-limit backoff.
Rate-limit considerations
- Blue Yonder WMS: Subject to the platform's API rate limits, which vary by contract and hosting model.
What ships with Blue Yonder WMS ⇄ Neo4j
Connect Blue Yonder WMS and Neo4j for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Blue Yonder WMS–Neo4j connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Blue Yonder WMS or Neo4j 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 Neo4j record.
Observability
Monitoring
Track your Blue Yonder WMS ⇄ Neo4j 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 Neo4j.
How the Blue Yonder WMS and Neo4j 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
Neo4j
- Integration surface
- Bolt binary protocol with Cypher via official drivers, plus an HTTP query API
- Authentication
- Username/password (basic auth); enterprise deployments add SSO options
- Change detection
- Neo4j Change Data Capture on Enterprise and Aura streams graph changes; otherwise Cypher polling on timestamp properties
- Capabilities
- read · write · CDC
How it works
How to connect Blue Yonder WMS to Neo4j — 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 Blue Yonder WMS and Neo4j with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Blue Yonder WMS
connected
Neo4j
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Blue Yonder WMS and Neo4j 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 · Blue Yonder WMS ⇄ Neo4jCustomers 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.
Blue Yonder WMS Neo4jCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Blue Yonder WMS and Neo4j integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between Blue Yonder WMS and Neo4j: authenticate both systems, choose the objects to sync (such as Blue Yonder WMS's Receipts and Items / SKUs), map fields visually, and changes propagate both ways in milliseconds — no code required.
-
Common patterns for Blue Yonder WMS and Neo4j: 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 Neo4j, so jobs and triggers can respond as the business record changes.
-
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. Neo4j: Bolt binary protocol with Cypher via official drivers, plus an HTTP query API. Authentication: Username/password (basic auth); enterprise deployments add SSO options. Stacksync manages authentication, retries, and rate limits on both sides.
-
Neo4j: Cypher is its declarative query language, and MERGE semantics give integrations a native upsert primitive for idempotent syncs. Blue Yonder WMS: WMS data is transactional and location-granular (facility, zone, bin, lot), so syncs usually aggregate before pushing balances into an ERP. Stacksync's field mapping accounts for these differences between Blue Yonder WMS and Neo4j without custom code.
-
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 Blue Yonder WMS and Neo4j records are not retained after a sync operation.
-
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Blue Yonder WMS and Neo4j connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Blue Yonder WMS–Neo4j integration in-house.
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 412 integrations available for Blue Yonder WMS and Neo4j.
Popular · 4 of 412
No integrations match .
