Two-way sync
Changes in Apache Druid or Infor WMS instantly reflect in both systems. No stale data, no manual imports.
Keep Apache Druid 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 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 Infor WMS carries financials, operations, workforce data, or all three, the analysis belongs in Apache Druid next to everything else the company measures.
Stacksync syncs Shipments, Appointments, Items, Inventory from Infor WMS into tables in Apache Druid continuously, managing API limits and schema drift along the way. The connection is bi-directional, so values computed in Apache Druid can be written back to fields in Infor WMS where that is useful.
Financial records land in Apache Druid as they change, so period-end reporting queries current numbers rather than last night's extract.
Worker and organization data syncs into Apache Druid for headcount, cost, and planning analysis alongside other company data.
Operational records become queryable tables in Apache Druid, joinable with sales and finance data.
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.
| Apache Druid objects | Infor WMS objects | |
|---|---|---|
| Lookups Key-value mappings joined at query time, refreshable from external systems. | Items Item definitions keep the WMS aligned with the ERP or OMS item master. | |
| Tasks Batch ingestion and compaction jobs monitored during data loads. | Inventory On-hand quantities by location feed available-to-promise in order-taking systems. | |
| Datasources The table-like unit of storage and querying, the main target of reads and ingestion. | Receipts / ASNs Advance shipment notices and receipt confirmations sync with procurement systems. | |
| Segments Time-partitioned immutable files that hold datasource data; ingestion produces them. | Shipment Orders Outbound orders arrive from the ERP or OMS for allocation and picking. | |
| Dimensions String and categorical columns used for filtering and grouping in synced queries. | Waves Wave assignments group orders for fulfillment and can be reported outward. | |
| Metrics Numeric columns, often pre-aggregated at ingestion via rollup. | Tasks Warehouse task data supports labor and productivity reporting in BI tools. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Apache Druid–Infor WMS connection.
Changes in Apache Druid or Infor WMS instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Apache Druid 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 Apache Druid or Infor WMS record.
Track your Apache Druid ⇄ Infor WMS sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Apache Druid 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 Apache Druid 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 Apache Druid 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 Apache Druid and Infor WMS: authenticate both systems, choose the objects to sync (such as Apache Druid's Lookups and Tasks), map fields visually, and changes propagate both ways in milliseconds — no code required.
Change detection on Apache Druid: Not applicable for reads out (polling by time interval); data enters Druid through streaming or batch ingestion rather than row updates. 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 Apache Druid side: Lookups, Tasks, Datasources, Segments, plus custom fields where Apache Druid exposes them. On the Infor WMS side: Shipments, Appointments, Items, Inventory. 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 Apache Druid and Infor WMS: Where Infor WMS holds the books: finance reporting from live data; Where Infor WMS is the HR system of record: workforce analytics; Where Infor WMS runs operations: order and supply analysis. Financial records land in Apache Druid as they change, so period-end reporting queries current numbers rather than last night's extract.
Apache Druid: REST API (SQL over HTTP and native JSON queries); JDBC via Avatica. Authentication: Deployment-dependent: basic authentication or an authenticator extension; often fronted by a proxy. 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.
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 Apache Druid and Infor WMS.