Two-way sync
Changes in Apache Druid or Oracle Fusion ERP instantly reflect in both systems. No stale data, no manual imports.
Keep Apache Druid and Oracle Fusion 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 Oracle Fusion ERP carries financials, operations, workforce data, or all three, the analysis belongs in Apache Druid next to everything else the company measures.
Stacksync syncs Journal Entries, GL Balances, Items, Projects from Oracle Fusion 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 Oracle Fusion ERP 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 | Oracle Fusion ERP objects | |
|---|---|---|
| Segments Time-partitioned immutable files that hold datasource data; ingestion produces them. | Payables Invoices AP invoices created by external capture tools and read for payment status. | |
| Dimensions String and categorical columns used for filtering and grouping in synced queries. | Receivables Invoices Billing documents synced outward for collections and CRM visibility. | |
| Metrics Numeric columns, often pre-aggregated at ingestion via rollup. | Purchase Orders Procurement documents exchanged with supplier portals and sourcing tools. | |
| Ingestion Supervisors Long-running specs that pull from streams like Kafka; the write path into Druid. | Journal Entries GL journals imported from subledgers and external systems. | |
| Lookups Key-value mappings joined at query time, refreshable from external systems. | GL Balances Account balances read for consolidation and reporting. | |
| Tasks Batch ingestion and compaction jobs monitored during data loads. | Items Product master data shared with supply chain and commerce systems. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Apache Druid–Oracle Fusion ERP connection.
Changes in Apache Druid or Oracle Fusion ERP instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Apache Druid or Oracle Fusion 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 Oracle Fusion ERP record.
Track your Apache Druid ⇄ Oracle Fusion ERP sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Apache Druid and Oracle Fusion 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 Oracle Fusion 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 Oracle Fusion 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 Oracle Fusion ERP: authenticate both systems, choose the objects to sync (such as Apache Druid's Segments and Dimensions), 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 Oracle Fusion ERP: Polling on last-updated attributes; bulk deltas via scheduled extract processes; business events are available through Oracle's integration eventing rather than plain webhooks. 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: Segments, Dimensions, Metrics, Ingestion Supervisors, plus custom fields where Apache Druid exposes them. On the Oracle Fusion ERP side: Journal Entries, GL Balances, Items, Projects. 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 Oracle Fusion ERP: Where Oracle Fusion ERP holds the books: finance reporting from live data; Where Oracle Fusion ERP is the HR system of record: workforce analytics; Where Oracle Fusion ERP 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. Oracle Fusion ERP: REST APIs across Financials, Procurement, and Projects, with SOAP web services and scheduled bulk import/export processes (FBDI, BI Publisher) for volume operations. Authentication: OAuth 2.0 with JWT assertions, or basic authentication over TLS for service accounts. 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.
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Every pair below is a real-time, two-way sync. Search all 386 integrations available for Apache Druid and Oracle Fusion ERP.