Two-way sync
Changes in Cloudera Data Platform or Oracle Fusion ERP instantly reflect in both systems. No stale data, no manual imports.
Keep Cloudera Data Platform 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 Cloudera Data Platform next to everything else the company measures.
Stacksync syncs Items, Projects, Fixed Assets, Payments from Oracle Fusion ERP into tables in Cloudera Data Platform continuously, managing API limits and schema drift along the way. The connection is bi-directional, so values computed in Cloudera Data Platform can be written back to fields in Oracle Fusion ERP where that is useful.
Operational records become queryable tables in Cloudera Data Platform, joinable with sales and finance data.
Combine Oracle Fusion ERP's records with data synced from other systems in Cloudera Data Platform for consolidated views no single system can produce.
Classifications or reference values computed in Cloudera Data Platform sync back onto the corresponding records in Oracle Fusion ERP.
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.
| Cloudera Data Platform objects | Oracle Fusion ERP objects | |
|---|---|---|
| Iceberg tables Open table format tables in newer CDP versions, with snapshot metadata usable for incremental reads. | Journal Entries GL journals imported from subledgers and external systems. | |
| Views SQL views that can present curated, sync-ready projections of raw lake data. | GL Balances Account balances read for consolidation and reporting. | |
| Partitions Table partitions (often by date) that incremental extraction jobs use to scope reads. | Items Product master data shared with supply chain and commerce systems. | |
| Object store / HDFS files Underlying Parquet or ORC files on HDFS or cloud storage backing the tables. | Projects Project and task structures synced with delivery and time-tracking tools. | |
| Databases Logical namespaces in the shared Hive Metastore that group tables for access control and syncs. | Fixed Assets Asset records reconciled with procurement and tracking systems. | |
| Hive tables Warehouse tables queried over JDBC/ODBC; classic managed tables are append-oriented. | Payments Disbursement records read to confirm settlement in upstream tools. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Cloudera Data Platform–Oracle Fusion ERP connection.
Changes in Cloudera Data Platform or Oracle Fusion ERP instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Cloudera Data Platform 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 Cloudera Data Platform or Oracle Fusion ERP record.
Track your Cloudera Data Platform ⇄ Oracle Fusion ERP sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Cloudera Data Platform 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 Cloudera Data Platform 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 Cloudera Data Platform 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 Cloudera Data Platform and Oracle Fusion ERP: authenticate both systems, choose the objects to sync (such as Cloudera Data Platform's Iceberg tables and Views), map fields visually, and changes propagate both ways in milliseconds — no code required.
On the Cloudera Data Platform side: Views, Partitions, Object store / HDFS files, Databases, plus custom fields where Cloudera Data Platform exposes them. On the Oracle Fusion ERP side: Items, Projects, Fixed Assets, Payments. 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 Cloudera Data Platform and Oracle Fusion ERP: Where Oracle Fusion ERP runs operations: order and supply analysis; Group reporting across systems; Write-back where Oracle Fusion ERP exposes writable fields. Operational records become queryable tables in Cloudera Data Platform, joinable with sales and finance data.
Cloudera Data Platform: JDBC/ODBC over Hive and Impala SQL endpoints, plus REST management APIs. Authentication: Kerberos, LDAP, or workload user credentials, often brokered through the Knox gateway. 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.
Cloudera Data Platform: CDP bundles open-source engines (Hive, Impala, Spark, Kudu) behind a shared Hive Metastore and shared security via Apache Ranger, so integrations usually target a SQL endpoint rather than storage directly. Oracle Fusion ERP: Most REST resources expose audit attributes like last-update timestamps, which serve as the incremental cursor for polling syncs. Stacksync's field mapping accounts for these differences between Cloudera Data Platform and Oracle Fusion ERP without custom code.
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 Cloudera Data Platform and Oracle Fusion ERP.