Two-way sync
Changes in Apache Druid or QAD ERP instantly reflect in both systems. No stale data, no manual imports.
Keep Apache Druid and QAD ERP 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 QAD ERP carries financials, operations, workforce data, or all three, the analysis belongs in Apache Druid next to everything else the company measures.
Stacksync syncs Purchase orders, Work orders, Inventory balances, General ledger transactions from QAD ERP 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 QAD ERP where that is useful.
Classifications or reference values computed in Apache Druid sync back onto the corresponding records in QAD ERP.
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.
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 | QAD ERP objects | |
|---|---|---|
| Lookups Key-value mappings joined at query time, refreshable from external systems. | Sales orders Demand records written in from EDI or e-commerce and read out for status | |
| Tasks Batch ingestion and compaction jobs monitored during data loads. | Purchase orders Procurement documents mirrored to planning and finance systems | |
| Datasources The table-like unit of storage and querying, the main target of reads and ingestion. | Work orders Production records replicated for scheduling and shop-floor analytics | |
| Segments Time-partitioned immutable files that hold datasource data; ingestion produces them. | Inventory balances Stock levels by site and location, synced for multi-plant visibility | |
| Dimensions String and categorical columns used for filtering and grouping in synced queries. | General ledger transactions Financial postings exported for consolidated reporting | |
| Metrics Numeric columns, often pre-aggregated at ingestion via rollup. | Items Item master records shared with CRM, e-commerce, and planning systems |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Apache Druid–QAD ERP connection.
Changes in Apache Druid or QAD ERP instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Apache Druid or QAD ERP 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 QAD ERP record.
Track your Apache Druid ⇄ QAD ERP sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Apache Druid and QAD ERP.
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 QAD ERP 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 QAD ERP 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 QAD ERP: 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.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Apache Druid and QAD ERP connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Apache Druid–QAD ERP integration in-house.
Yes — Stacksync ships production-grade connectors for both Apache Druid and QAD ERP. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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 QAD ERP: Polling on the API surface; document-based event exchange available through QXtend in supported configurations. 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: Dimensions, Metrics, Ingestion Supervisors, Lookups, plus custom fields where Apache Druid exposes them. On the QAD ERP side: Purchase orders, Work orders, Inventory balances, General ledger transactions. 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.
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 QAD ERP.