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Database ⇄ ERP

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

Keep AWS Aurora PostgreSQL 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 AWS Aurora PostgreSQL and Körber WMS

Give your engineers Körber 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 Returns, Items, Inventory, Receipts / ASNs from Körber WMS into AWS Aurora PostgreSQL and keeps both sides consistent in real time. Whatever Körber 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 Körber WMS with its validations respected.

Common use cases

  • Capture row-level changes with logical replication and propagate them to SaaS tools without batch jobs.
  • Sync JSONB-heavy application data into structured objects in downstream business systems.
  • Consolidate warehouse task and throughput data into a BI warehouse for operations reporting
  • Sync inventory positions from Körber WMS to an OMS or e-commerce platform so sellable stock reflects the warehouse

Where Körber 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.

Controlled write-back

Choose exactly which tables and fields may flow from AWS Aurora PostgreSQL back into Körber WMS, keeping the ERP authoritative.

Read ERP records with a query

Records from Körber WMS live in AWS Aurora PostgreSQL as ordinary tables or collections, joinable with the rest of your data.

What you can sync between AWS Aurora PostgreSQL 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.

AWS Aurora PostgreSQL objects Körber WMS objects
Columns Rich Postgres types including JSONB and arrays are mapped to the paired system's fields. Locations Bin and zone definitions scope inventory data during mapping.
Primary keys and constraints Identify rows for upserts and enforce integrity on sync writes. Tasks Warehouse task data supports labor and throughput reporting.
Views and materialized views Usable as read-only sources for filtered or precomputed sync datasets. Returns Return receipts flow back to commerce and ERP systems for refunds and restocking.
Foreign keys Relationship metadata that syncs can translate into object references elsewhere. Items Item definitions keep the WMS aligned with the ERP item master.
Replication slots and publications The logical replication objects that power log-based CDC. Inventory On-hand quantities by location feed availability in order-taking systems.
Databases and schemas PostgreSQL's two-level namespace scopes which tables a sync connection targets. Receipts / ASNs Inbound notices and receipt confirmations sync with procurement systems.
What ships with AWS Aurora PostgreSQL ⇄ Körber WMS

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

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

Real-time

Two-way sync

Changes in AWS Aurora PostgreSQL or Körber 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 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 AWS Aurora PostgreSQL or Körber WMS record.

Observability

Monitoring

Track your AWS Aurora PostgreSQL ⇄ 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 AWS Aurora PostgreSQL and Körber WMS.

How the AWS Aurora PostgreSQL and Körber 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

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 AWS Aurora PostgreSQL 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 AWS Aurora PostgreSQL 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
    AWS Aurora PostgreSQL connected
    Körber WMS connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

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

AWS Aurora PostgreSQL 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 AWS Aurora PostgreSQL and Körber WMS.

Popular · 8 of 386
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