Two-way sync
Changes in Apache Hive or Oracle Fusion ERP instantly reflect in both systems. No stale data, no manual imports.
Keep Apache Hive 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 Hive next to everything else the company measures.
Stacksync syncs Payables Invoices, Receivables Invoices, Purchase Orders, Journal Entries from Oracle Fusion ERP into tables in Apache Hive continuously, managing API limits and schema drift along the way. The connection is bi-directional, so values computed in Apache Hive can be written back to fields in Oracle Fusion ERP where that is useful.
Classifications or reference values computed in Apache Hive sync back onto the corresponding records in Oracle Fusion ERP.
Financial records land in Apache Hive as they change, so period-end reporting queries current numbers rather than last night's extract.
Worker and organization data syncs into Apache Hive 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 Hive objects | Oracle Fusion ERP objects | |
|---|---|---|
| Materialized Views Precomputed results available in newer Hive versions for faster reads. | Fixed Assets Asset records reconciled with procurement and tracking systems. | |
| ACID Tables ORC-backed transactional tables that support row-level insert, update, and delete. | Payments Disbursement records read to confirm settlement in upstream tools. | |
| Metastore Catalog The schema registry other engines (Spark, Presto, Impala) also read. | Suppliers Vendor master data synced with procurement and AP automation systems. | |
| Databases Metastore namespaces that scope tables and grants. | Customers Receivables customer records aligned with CRM accounts. | |
| Managed Tables Tables whose data lifecycle Hive controls, used as warehouse destinations. | Payables Invoices AP invoices created by external capture tools and read for payment status. | |
| External Tables Tables over existing files in HDFS or object storage, read without moving data. | Receivables Invoices Billing documents synced outward for collections and CRM visibility. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Apache Hive–Oracle Fusion ERP connection.
Changes in Apache Hive or Oracle Fusion ERP instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Apache Hive 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 Hive or Oracle Fusion ERP record.
Track your Apache Hive ⇄ Oracle Fusion ERP sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Apache Hive 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 Hive 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 Hive 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 Hive and Oracle Fusion ERP: authenticate both systems, choose the objects to sync (such as Apache Hive's Materialized Views and ACID Tables), map fields visually, and changes propagate both ways in milliseconds — no code required.
Apache Hive: SQL (HiveQL) over JDBC/ODBC via HiveServer2 (Thrift). Authentication: Deployment-dependent: Kerberos, LDAP, or username/password. 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.
Apache Hive: The Hive Metastore acts as a shared catalog consumed by other engines such as Spark, Presto/Trino, and Impala, so schema changes propagate beyond Hive itself. Oracle Fusion ERP: Fusion combines interactive REST APIs with high-volume batch channels such as file-based data import (FBDI), and production integrations commonly use both for the same object. Stacksync's field mapping accounts for these differences between Apache Hive and Oracle Fusion ERP 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 Apache Hive and Oracle Fusion ERP records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Apache Hive and Oracle Fusion ERP connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Apache Hive–Oracle Fusion ERP integration in-house.
Yes — Stacksync ships production-grade connectors for both Apache Hive and Oracle Fusion ERP. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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 Hive and Oracle Fusion ERP.