Two-way sync
Changes in AWS Aurora PostgreSQL or Infor WMS instantly reflect in both systems. No stale data, no manual imports.
Keep AWS Aurora PostgreSQL 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 Appointments, Items, Inventory, Receipts / ASNs from Infor WMS into AWS Aurora PostgreSQL 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 AWS Aurora PostgreSQL sync back into Infor WMS with its validations respected.
Updates in Infor WMS arrive as row changes in AWS Aurora PostgreSQL, so jobs and triggers can respond as the business record changes.
Worker and org records stay current in AWS Aurora PostgreSQL for provisioning, access, and reporting systems that read from the database.
Choose exactly which tables and fields may flow from AWS Aurora PostgreSQL back into Infor WMS, keeping the ERP authoritative.
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 | Infor WMS objects | |
|---|---|---|
| Foreign keys Relationship metadata that syncs can translate into object references elsewhere. | Shipment Orders Outbound orders arrive from the ERP or OMS for allocation and picking. | |
| Replication slots and publications The logical replication objects that power log-based CDC. | Waves Wave assignments group orders for fulfillment and can be reported outward. | |
| Databases and schemas PostgreSQL's two-level namespace scopes which tables a sync connection targets. | Tasks Warehouse task data supports labor and productivity reporting in BI tools. | |
| Tables The core sync unit; rows are matched across systems by primary key. | Locations Bin and zone definitions scope inventory records during mapping. | |
| Rows Inserted, updated, and deleted in both directions during bi-directional syncs. | Shipments Ship confirmations and tracking references flow back to the order source system. | |
| Columns Rich Postgres types including JSONB and arrays are mapped to the paired system's fields. | Appointments Dock appointment data coordinates carriers and yard operations with external schedules. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every AWS Aurora PostgreSQL–Infor WMS connection.
Changes in AWS Aurora PostgreSQL or Infor WMS instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever AWS Aurora PostgreSQL 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 AWS Aurora PostgreSQL or Infor WMS record.
Track your AWS Aurora PostgreSQL ⇄ Infor WMS sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between AWS Aurora PostgreSQL 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 AWS Aurora PostgreSQL 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 AWS Aurora PostgreSQL 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 AWS Aurora PostgreSQL and Infor WMS: authenticate both systems, choose the objects to sync (such as AWS Aurora PostgreSQL's Foreign keys and Replication slots and publications), map fields visually, and changes propagate both ways in milliseconds — no code required.
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 AWS Aurora PostgreSQL and Infor WMS: React to ERP changes; Where Infor WMS is the HR system of record: people data for internal systems; Controlled write-back. Updates in Infor WMS arrive as row changes in AWS Aurora PostgreSQL, so jobs and triggers can respond as the business record changes.
AWS Aurora PostgreSQL: SQL wire protocol (PostgreSQL-compatible), standard Postgres drivers and JDBC. Authentication: Database credentials, optionally AWS IAM database authentication, over TLS. Infor WMS: REST API via the Infor OS / ION API gateway (cloud deployments run inside Infor CloudSuite). Authentication: OAuth 2.0 via Infor OS. Stacksync manages authentication, retries, and rate limits on both sides.
AWS Aurora PostgreSQL: Replication slots retain WAL for their consumers, so an interrupted CDC sync can resume without losing changes. Infor WMS: Cloud deployments of Infor WMS are delivered as part of Infor CloudSuite, so integration typically goes through the shared Infor OS / ION layer rather than a standalone product API. Stacksync's field mapping accounts for these differences between AWS Aurora PostgreSQL and Infor WMS without custom code.
Stacksync is SOC 2 Type II and ISO 27001 certified with HIPAA BAA support. Data is encrypted in transit, and a zero-persistent-storage architecture means AWS Aurora PostgreSQL and Infor WMS records are not retained after a sync operation.
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 AWS Aurora PostgreSQL and Infor WMS.