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Data warehouse ⇄ ERP

Databricks to Körber WMS integration — real-time, two-way sync

Keep Databricks and Körber 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.

  • 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

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Why teams connect Databricks and Körber WMS

Put Körber WMS's records in Databricks as live tables for reporting and analysis, without extract jobs, and write results back where Körber WMS can use them.

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 Körber WMS carries financials, operations, workforce data, or all three, the analysis belongs in Databricks next to everything else the company measures.

Stacksync syncs Tasks, Returns, Items, Inventory from Körber 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 Körber WMS where that is useful.

Common use cases

  • Serve ML feature outputs computed in Databricks to production apps through a synced operational store.
  • Land CRM and ERP records in Delta tables continuously so lakehouse models work from current operational data.
  • Sync inventory positions from Körber WMS to an OMS or e-commerce platform so sellable stock reflects the warehouse
  • Push orders from the ERP into the WMS for fulfillment and return shipment confirmations automatically

Group reporting across systems

Combine Körber WMS's records with data synced from other systems in Databricks for consolidated views no single system can produce.

Write-back where Körber WMS exposes writable fields

Classifications or reference values computed in Databricks sync back onto the corresponding records in Körber WMS.

Where Körber WMS holds the books: finance reporting from live data

Financial records land in Databricks as they change, so period-end reporting queries current numbers rather than last night's extract.

What you can sync between Databricks and Körber 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.

Databricks objects Körber WMS objects
Change Data Feed Row-level change records on Delta tables that drive incremental reads. Orders Outbound orders arrive from the ERP or OMS for allocation and fulfillment.
Catalogs Top level of the Unity Catalog namespace, scoping which schemas a sync can address. Shipments Ship confirmations and tracking references return to the order source system.
Schemas Group tables and views; syncs typically target a dedicated schema per source system. Locations Bin and zone definitions scope inventory data during mapping.
Delta Tables The primary read and write target; operational data lands here as managed or external tables. Tasks Warehouse task data supports labor and throughput reporting.
Views Curated read-only projections used as sync sources for downstream tools. Returns Return receipts flow back to commerce and ERP systems for refunds and restocking.
Materialized Views Precomputed results read on a schedule for reverse-ETL style syncs. Items Item definitions keep the WMS aligned with the ERP item master.
What ships with Databricks ⇄ Körber WMS

Connect Databricks and Körber WMS for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Databricks–Körber WMS connection.

Real-time

Two-way sync

Changes in Databricks or Körber WMS instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Databricks or Körber 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 Databricks or Körber WMS record.

Observability

Monitoring

Track your Databricks ⇄ Körber WMS sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Databricks and Körber WMS.

How the Databricks and Körber WMS connectors work

Databricks

Integration surface
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
Change detection
Delta Lake Change Data Feed for row-level changes; otherwise incremental polling on watermark columns
Capabilities
read · write · CDC
Rate limits
Throughput depends on the SQL warehouse size; API calls are subject to workspace rate limits

Körber WMS

Integration surface
Varies by deployment; typically host-interface messages, file exchange, or vendor APIs via middleware
Authentication
Credentials issued per deployment
Change detection
Polling or message/file-based export from the WMS host interface
Capabilities
read · write
Rate limits
Constrained by deployment architecture rather than published API rate limits
How it works

How to connect Databricks to Körber 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 Databricks and Körber 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
    Databricks connected
    Körber WMS connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Databricks and Körber 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 · Databricks ⇄ Körber 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
    Databricks Körber WMS
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Databricks and Körber WMS 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 Databricks and Körber WMS.

Popular · 8 of 386
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