Two-way sync
Changes in Citus or Infor WMS instantly reflect in both systems. No stale data, no manual imports.
Keep Citus and Infor 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.
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 / ASNs, Shipment Orders, Waves, Tasks from Infor WMS into Citus and keeps both sides consistent in real time. Whatever Infor 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 Citus sync back into Infor WMS with its validations respected.
Scripts and services read and write the synced tables; Stacksync handles the Infor WMS interface, limits, and retries.
Updates in Infor WMS arrive as row changes in Citus, so jobs and triggers can respond as the business record changes.
Worker and org records stay current in Citus for provisioning, access, and reporting systems that read from the database.
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.
| Citus objects | Infor WMS objects | How this pairing syncs | |
|---|---|---|---|
| Local tables Coordinator-only tables that behave exactly like standard PostgreSQL tables. | Inventory On-hand quantities by location feed available-to-promise in order-taking systems. | Local tables is specific to Citus and Inventory to Infor WMS — each maps to any object or custom field on the other side. | |
| Schemas Standard Postgres namespaces used to scope what a sync user can read and write. | Receipts / ASNs Advance shipment notices and receipt confirmations sync with procurement systems. | Schemas is specific to Citus and Receipts / ASNs to Infor WMS — each maps to any object or custom field on the other side. | |
| Views Curated projections over distributed data, often used as read-only sync sources. | Shipment Orders Outbound orders arrive from the ERP or OMS for allocation and picking. | Views is specific to Citus and Shipment Orders to Infor WMS — each maps to any object or custom field on the other side. | |
| Sequences Key generators that matter when external writes must not collide with application inserts. | Waves Wave assignments group orders for fulfillment and can be reported outward. | Sequences is specific to Citus and Waves to Infor WMS — each maps to any object or custom field on the other side. | |
| Distributed tables Tables sharded across worker nodes by a distribution column; the main sync target for large datasets. | Tasks Warehouse task data supports labor and productivity reporting in BI tools. | Distributed tables is specific to Citus and Tasks to Infor WMS — each maps to any object or custom field on the other side. | |
| Reference tables Small lookup tables replicated to every node, synced like ordinary Postgres tables. | Locations Bin and zone definitions scope inventory records during mapping. | Reference tables is specific to Citus and Locations to Infor WMS — each maps to any object or custom field on the other side. |
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.
DetectionChanges in Citus are captured at the source via change data capture — no polling loop against its API. PostgreSQL logical decoding / CDC, with caveats: changes to distributed tables occur on worker shards, so CDC setup differs from single-node Postgres.
DeliveryEach detected change is written to Infor WMS through its API, with automatic retries and rate-limit backoff.
DetectionInfor WMS notifies Stacksync of record changes through webhook events. ION event publishing or scheduled polling of API endpoints.
DeliveryEach detected change is applied to Citus as a row-level write, with types converted between the two schemas.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Citus–Infor WMS connection.
Changes in Citus or Infor WMS instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Citus or Infor WMS data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Citus or Infor WMS record.
Track your Citus ⇄ Infor WMS sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Citus and Infor WMS.
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 Citus and Infor WMS 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 Citus and Infor 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.
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 Citus and Infor WMS: authenticate both systems, choose the objects to sync (such as Citus's Local tables and Schemas), map fields visually, and changes propagate both ways in milliseconds — no code required.
Yes — Stacksync ships production-grade connectors for both Citus and Infor WMS. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on Citus: PostgreSQL logical decoding / CDC, with caveats: changes to distributed tables occur on worker shards, so CDC setup differs from single-node Postgres. On Infor WMS: ION event publishing or scheduled polling of API endpoints. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Citus side: Local tables, Schemas, Views, Sequences, plus custom fields where Citus exposes them. On the Infor WMS side: Receipts / ASNs, Shipment Orders, Waves, Tasks. 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 Citus and Infor WMS: Internal tools and automations without API code; React to ERP changes; Where Infor WMS is the HR system of record: people data for internal systems. Scripts and services read and write the synced tables; Stacksync handles the Infor WMS interface, limits, and retries.
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 320 integrations available for Citus and Infor WMS.