Two-way sync
Changes in Blue Yonder WMS or Databricks instantly reflect in both systems. No stale data, no manual imports.
Keep Blue Yonder WMS and Databricks in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
ERP data is some of the most asked-for data in the warehouse and some of the hardest to get: the record types are many, the APIs are strict, and extract jobs are brittle. Whether Blue Yonder WMS carries financials, operations, workforce data, or all three, the analysis belongs in Databricks next to everything else the company measures.
Stacksync syncs Inbound shipments (ASNs), Purchase orders, Outbound orders, Shipments and shipment confirmations from Blue Yonder WMS into tables in Databricks continuously, managing API limits and schema drift along the way. The connection is bi-directional, so values computed in Databricks can be written back to fields in Blue Yonder WMS where that is useful.
Financial records land in Databricks as they change, so period-end reporting queries current numbers rather than last night's extract.
Worker and organization data syncs into Databricks for headcount, cost, and planning analysis alongside other company data.
Operational records become queryable tables in Databricks, joinable with sales and finance data.
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 | Databricks objects | |
|---|---|---|
| Items / SKUs Product master records that must match the ERP item master for warehouse operations to reconcile. | Materialized Views Precomputed results read on a schedule for reverse-ETL style syncs. | |
| Inventory balances On-hand quantities by location and lot, synced outward for availability and planning. | Volumes Unity Catalog file storage used for staging bulk loads. | |
| Inbound shipments (ASNs) Advance ship notices created from purchase orders to drive receiving. | SQL Warehouses The compute endpoint a sync connects to for query execution. | |
| Purchase orders Expected receipts pushed from the ERP so the warehouse can plan inbound work. | Change Data Feed Row-level change records on Delta tables that drive incremental reads. | |
| Outbound orders Pick, pack, and ship instructions created from sales orders in the ERP or OMS. | Catalogs Top level of the Unity Catalog namespace, scoping which schemas a sync can address. | |
| Shipments and shipment confirmations Completed outbound events synced back to update order status and trigger invoicing. | Schemas Group tables and views; syncs typically target a dedicated schema per source system. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Blue Yonder WMS–Databricks connection.
Changes in Blue Yonder WMS or Databricks instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Blue Yonder WMS or Databricks data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Blue Yonder WMS or Databricks record.
Track your Blue Yonder WMS ⇄ Databricks sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Blue Yonder WMS and Databricks.
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.
Authenticate Blue Yonder WMS and Databricks with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Pick the Blue Yonder WMS and Databricks 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.
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Yes. Stacksync provides a managed, real-time two-way integration between Blue Yonder WMS and Databricks: authenticate both systems, choose the objects to sync (such as Blue Yonder WMS's Items / SKUs and Inventory balances), map fields visually, and changes propagate both ways in milliseconds — no code required.
On the Databricks side: Materialized Views, Volumes, SQL Warehouses, Change Data Feed, plus custom fields where Databricks exposes them. On the Blue Yonder WMS side: Inbound shipments (ASNs), Purchase orders, Outbound orders, Shipments and shipment confirmations. Stacksync auto-detects both schemas and converts types between the two systems.
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.
Common patterns for Blue Yonder WMS and Databricks: Where Blue Yonder WMS holds the books: finance reporting from live data; Where Blue Yonder WMS is the HR system of record: workforce analytics; Where Blue Yonder WMS runs operations: order and supply analysis. Financial records land in Databricks as they change, so period-end reporting queries current numbers rather than last night's extract.
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. Databricks: SQL over JDBC/ODBC via SQL warehouses, plus a REST API including statement execution. Authentication: Personal access tokens or OAuth machine-to-machine credentials for service principals. Stacksync manages authentication, retries, and rate limits on both sides.
Databricks: SQL warehouses expose standard JDBC/ODBC connectivity plus a REST statement-execution endpoint, so tools can integrate without cluster management. 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 Databricks without custom code.
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.
Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.
Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.
Securely connects to your systems with:
Every pair below is a real-time, two-way sync. Search all 386 integrations available for Blue Yonder WMS and Databricks.