Oracle integration that reaches the systems other tools can't.
Connect Oracle Autonomous Data Lake to your OT, IoT, apps + operational systems in real-time. Stream live data into OCI object storage, and make lake data and AI actionable back in the operation.
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Live demo · Claude querying Oracle + ops via Rayven MCP
Trusted by 240+ teams across Australia + globally
Oracle is brilliant at what it does. Useless at everything else your data + AI needs to touch.
Operational data reaches the OCI lake through scheduled loads and hand-built pipelines, real-time machine data arrives late, and the analytics in Autonomous Database run on a picture of the operation that is already stale.
The integration tool you've already tried probably can't fix it.
App-to-app. Useful, until it isn't.
Connectors for Oracle, Slack + a thousand other cloud apps. Cheap + fast for the easy half of integration. Where they hit a wall:
- OT + IoT sources whose real-time streams need OCI Streaming or object ingestion, not batch loads
- ERP - including Oracle E-Business Suite and JD Edwards - and operational apps that hold the business context
- Edge and plant sites streaming telemetry into OCI Object Storage over intermittent links
- Autonomous Database and OCI Data Flow workloads that need complete, current operational data
OT, IoT, apps, streaming + AI. One platform.
The integration platform built for what other tools can't (or won't) reach - plus an AI data fabric, MCP server + app builder layered on top.
- Oracle + every OT, IoT and streaming data source
- OT/IoT, databases, streaming, files, ERP + custom-built connectors.
- Files, legacy SQL, FTP + custom-built connectors
- Real-time bidirectional sync, tier-aware + rate-limit-safe
- AI Data Fabric, MCP, automation + custom apps included
Oracle + Rayven: AI, automation + tools that reach every system you run.
5 examples of what Rayven customers run on Oracle + integrated systems. Built in weeks, not months.
Real-time data lands in the OCI lake
Rayven streams SCADA, historian and sensor data into OCI Object Storage as Parquet, exposed through Autonomous Database external tables, via OPC-UA, MQTT and CDC. Machine data is query-able in real-time, not after an overnight load.
Business context joins the lake
Master data from Oracle E-Business Suite, JD Edwards and other ERP flows into the OCI lake, so Autonomous Database analytics read machine data with its business context intact.
Autonomous Database insight acts live
Predictions from Autonomous Database and OCI on the lake push back to alerts, work orders and AI agents via Rayven MCP, so lake insight reaches the operation instead of stopping at a query.
Edge telemetry streams to the lake
Remote plants and sites buffer and stream telemetry into OCI Object Storage over intermittent links, so no operational event is lost before it reaches the lake and the analytics on top.
External tables serve downstream
Landed data serves Autonomous Database external tables and BI consistently, so the same current operational data feeds analytics and the data warehouse downstream.
Integration is the start with Rayven.
Here's what comes with it.
Rayven isn't just a Oracle connector. It's the operational software platform underneath - so once Oracle is connected, four more capabilities come online by default.
AI-ready data layer (AI Data Fabric)
Oracle data joined with ERP, IoT + legacy - contextualised, unified and structured so AI models, agents and tools can use it without ETL prep work.
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Live AI access (Rayven MCP)
Claude, ChatGPT + Gemini get live, governed access to Oracle and every other connected system. Your AI stops guessing - cites real Oracle records + numbers.
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Automation + AI agents
Workflows + AI agents act on Oracle data without human intervention - escalate at-risk accounts, trigger operational work, auto-update forecasts, draft customer comms.
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Custom apps + portals
Unified customer portals, ops dashboards, mobile field apps, partner portals - built on top of integrated Oracle data. No separate BI tool, no separate dev stack.
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All on top of your existing stack. No rip + replace. Oracle stays Oracle. Rayven works on what you've already built. Specifically tuned for real-time OT ingestion into OCI Object Storage with Data Catalog governance preserved.
Rayven is a five-layer platform ALL your integrations + much more
can run on.
Integration is one layer of Rayven. Data, execution, presentation + governance are the other four - all delivered as one platform on one commercial.
Pick the right tool for your stack.
Oracle integration looks different at every scale. Honest comparison of the four common paths - Rayven only wins on some of them.
The integration is the easy bit.
The platform + team behind it is the difference.
Platform + team. One commercial.
Not five vendors stitched together. Rayven is the platform AND the Australia-based expert team that scopes, builds + supports it. One commercial. No licence stacking, no finger-pointing.
Built for OCI Object Storage + external tables.
Rayven streams OT, IoT and app data into OCI Object Storage as Parquet, exposed through Autonomous Database external tables, via REST and SDK APIs with IAM auth. OCI Streaming ingestion lands machine data in real-time, and predictions sync back to operations and AI agents.
We stay after go-live.
No handoff. No disappearing. Rayven is a long-term partner when your Oracle evolves, your stack changes, or you push further. 24/7 support. Same team, same platform, same commercial.
Hosted your way, where you need.
Deploy as cloud, private cloud + on-premise - in Australia, the US, the UK, or anywhere else your Oracle data needs to live. Your residency, your rules, your local compliance environment.
The questions Oracle admins, RevOps + IT ask first.
If you're evaluating Rayven for Oracle integration, these are the things worth knowing before booking a call.
The 30-minute call covers
- Your Oracle + connected stack today
- What's reachable + which systems to bring in first
- Live walkthrough of Rayven against your scenario
- Time, scope + delivery estimate
- Honest read on whether Rayven's the right fit
What is Oracle Autonomous Data Lake integration?
Oracle Autonomous Data Lake integration connects the OCI lake to the real-time operational systems that feed it - OT, IoT, ERP and edge sources - so live data lands in Object Storage and lake insights act back in operations. Rayven delivers this as an AI data fabric, not a single-purpose connector, and is not a data lake itself.
Does Rayven replace Oracle Autonomous Data Lake?
No. Rayven does not replace the OCI lake and is not a data lake. Rayven is the real-time AI data fabric that sits alongside it - streaming operational data into OCI Object Storage, and activating lake data and AI in operations. Oracle stays your lake; Rayven feeds and activates it.
How is this different from the Oracle Autonomous Data Warehouse page?
This page covers the lake angle - OCI Object Storage and external tables for schema-on-read data. For the structured warehouse angle, see Oracle Autonomous Data Warehouse on our Data Warehouse hub. Rayven feeds and activates both.
How does Rayven land real-time data in the OCI lake?
Rayven writes to OCI Object Storage as Parquet through REST and SDK APIs, fed from OT and IoT via OPC-UA, MQTT and CDC through the integration layer, and exposes it as Autonomous Database external tables. It also connects databases and files.
How long does Oracle Autonomous Data Lake integration take with Rayven?
Most integrations go live in 2-12 weeks. A single OT-to-OCI stream runs in 2-3 weeks; a full fabric that lands operational data and activates lake AI runs 6-12 weeks. Choose DIY, done-for-you or hybrid delivery.
What are the technical specifics of Oracle Autonomous Data Lake integration with Rayven?
Rayven connects through OCI REST and SDK APIs, authenticating with IAM and OAuth against compartments and buckets. Real-time operational data - OT, IoT, historian and app events - is ingested via OPC-UA, MQTT and CDC, then landed in OCI Object Storage as Parquet and exposed through Autonomous Database external tables so it is query-able schema-on-read the moment it lands rather than after a scheduled load. Object layout, partition structure and OCI Data Catalog metadata are respected, and IAM governance is preserved end-to-end. OCI Streaming drives ingest and OCI Data Flow runs managed Spark transformation; high-volume writes are managed through batching and back-pressure. On-premise ERP such as Oracle E-Business Suite and JD Edwards, databases and files land through the same fabric, and Autonomous Database predictions push back into operations and AI agents via Rayven MCP. For the structured warehouse angle, see Oracle Autonomous Data Warehouse. Validated against OCI Object Storage with Autonomous Database and on Cloud@Customer. Rayven complements the OCI lake; it is not a data lake and does not replace it.
Oracle + AI integration.
In weeks, not months.
Book a 30-minute call. Walk away with a tailored plan - what's reachable, what to bring in first, time + scope.