Real-time
Two-way sync
Changes in Körber WMS or Postgres Heroku instantly reflect in both systems. No stale data, no manual imports.
ERP ⇄ Database
Körber WMS to Postgres Heroku integration — real-time, two-way sync
Keep Körber 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.
- 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 Körber WMS and Postgres Heroku
Give your engineers Körber 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 Locations, Tasks, Returns, Items from Körber WMS into Postgres Heroku 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 Postgres Heroku sync back into Körber WMS with its validations respected.
Common use cases
- 01 Keep several Heroku app databases aligned with one system of record
- 02 Reflect billing and subscription records into the app database so product logic reads local rows
- 03 Consolidate warehouse task and throughput data into a BI warehouse for operations reporting
- 04 Sync inventory positions from Körber WMS to an OMS or e-commerce platform so sellable stock reflects the warehouse
Common sync patterns
Controlled write-back
Choose exactly which tables and fields may flow from Postgres Heroku back into Körber WMS, keeping the ERP authoritative.
Read ERP records with a query
Records from Körber 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 Körber WMS interface, limits, and retries.
What you can sync between Körber 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.
| Körber WMS objects | Postgres Heroku objects | How this pairing syncs | |
|---|---|---|---|
| Orders Outbound orders arrive from the ERP or OMS for allocation and fulfillment. | Views Read-side projections exposed to outbound syncs. | Orders is specific to Körber WMS and Views to Postgres Heroku — each maps to any object or custom field on the other side. | |
| Shipments Ship confirmations and tracking references return to the order source system. | Materialized Views Precomputed result sets synced outward on refresh. | Shipments is specific to Körber WMS and Materialized Views to Postgres Heroku — each maps to any object or custom field on the other side. | |
| Locations Bin and zone definitions scope inventory data during mapping. | Schemas Namespaces that scope which tables a sync reads and writes. | Locations is specific to Körber WMS and Schemas to Postgres Heroku — each maps to any object or custom field on the other side. | |
| Tasks Warehouse task data supports labor and throughput reporting. | Primary and Unique Keys Match keys for idempotent upserts from connected systems. | Tasks is specific to Körber WMS and Primary and Unique Keys to Postgres Heroku — each maps to any object or custom field on the other side. | |
| Returns Return receipts flow back to commerce and ERP systems for refunds and restocking. | JSONB Columns Semi-structured payloads for nested SaaS objects and metadata. | Returns is specific to Körber WMS and JSONB Columns to Postgres Heroku — each maps to any object or custom field on the other side. | |
| Items Item definitions keep the WMS aligned with the ERP item master. | Sequences Generate surrogate keys for rows created by inbound syncs. | Items is specific to Körber WMS and Sequences to Postgres Heroku — each maps to any object or custom field on the other side. |
How changes propagate between Körber WMS and Postgres Heroku
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.
Körber WMS Postgres Heroku Interval-based propagation
DetectionStacksync polls Körber WMS for changes on an incremental schedule, reading only records changed since the previous pass. Polling or message/file-based export from the WMS host interface.
DeliveryEach detected change is applied to Postgres Heroku as a row-level write, with types converted between the two schemas.
Postgres Heroku Körber WMS Interval-based propagation
DetectionStacksync polls Postgres Heroku for changes on an incremental schedule, reading only records changed since the previous pass. Trigger-based capture or polling in most configurations.
DeliveryEach detected change is written to Körber WMS through its API, with automatic retries and rate-limit backoff.
Rate-limit considerations
- Körber WMS: Constrained by deployment architecture rather than published API rate limits.
- Postgres Heroku: No API rate limits; connection counts and performance are bounded by the Heroku Postgres plan.
What ships with Körber WMS ⇄ Postgres Heroku
Connect Körber WMS and Postgres Heroku for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Körber WMS–Postgres Heroku connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Körber 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 Körber WMS or Postgres Heroku record.
Observability
Monitoring
Track your Körber 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 Körber WMS and Postgres Heroku.
How the Körber WMS and Postgres Heroku connectors work
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
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 Körber 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.
- 01
Connect your apps
Authenticate Körber 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.
Körber WMS
connected
Postgres Heroku
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Körber 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.
objects · Körber WMS ⇄ Postgres HerokuCustomers 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.
Körber WMS Postgres HerokuCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Körber WMS and Postgres Heroku integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between Körber WMS and Postgres Heroku: authenticate both systems, choose the objects to sync (such as Körber WMS's Orders and Shipments), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Stacksync pricing is usage-based and starts at $1,000/month, including the managed Körber WMS and Postgres Heroku connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Körber WMS–Postgres Heroku integration in-house.
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Yes — Stacksync ships production-grade connectors for both Körber WMS and Postgres Heroku. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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Change detection on Körber WMS: Polling or message/file-based export from the WMS host interface. On Postgres Heroku: Trigger-based capture or polling in most configurations; log-based logical replication availability depends on plan and Heroku's managed server settings. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
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On the Postgres Heroku side: JSONB Columns, Sequences, Follower Databases, Tables, plus custom fields where Postgres Heroku exposes them. On the Körber WMS side: Locations, Tasks, Returns, Items. Stacksync auto-detects both schemas and converts types between the two systems.
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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.
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:
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