Cloudera integration that reaches the systems other tools can't.
Connect Cloudera Data Platform to your OT, IoT, apps + operational systems in real-time. Stream live data into your hybrid on-prem or cloud lakehouse, and make lake data and AI actionable back in the operation.
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Live demo · Claude querying Cloudera + ops via Rayven MCP
Trusted by 240+ teams across Australia + globally
Cloudera is brilliant at what it does. Useless at everything else your data + AI needs to touch.
Operational data reaches CDP through hand-built NiFi flows and batch jobs, real-time machine data lands late in the regulated environments where governance matters most, and Cloudera ML models rarely reach the plant where the decision is made.
The integration tool you've already tried probably can't fix it.
App-to-app. Useful, until it isn't.
Connectors for Cloudera, Slack + a thousand other cloud apps. Cheap + fast for the easy half of integration. Where they hit a wall:
- OT + IoT sources - SCADA, historians and PLCs - whose real-time data needs NiFi or Kafka ingestion into CDP
- ERP, MES and operational apps that hold the business context for regulated analytics
- Edge and plant sites in hybrid estates streaming telemetry into on-prem or cloud CDP
- Operational systems and agents that should act on Cloudera ML predictions, not just SDX-governed reports
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.
- Cloudera + 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
Cloudera + Rayven: AI, automation + tools that reach every system you run.
5 examples of what Rayven customers run on Cloudera + integrated systems. Built in weeks, not months.
Real-time OT data lands governed in CDP
Rayven streams SCADA, historian and PLC data into CDP Iceberg tables via OPC-UA, MQTT and Kafka, with SDX governance applied. Machine data lands in real-time under the same security policy as the rest of the lakehouse.
Business context joins the lakehouse
Orders, assets and master data from ERP and MES flow into CDP so Impala and Spark read machine data with its business context, not stripped of it.
Cloudera ML predictions act live
Predictions from Cloudera Machine Learning on CDP push back to alerts, work orders and AI agents via Rayven MCP, so lakehouse intelligence reaches the plant floor.
Hybrid ingestion, on-prem or cloud
Plant and edge sites stream telemetry into CDP Private Cloud on-premise or CDP Public Cloud, so regulated and sovereign estates land operational data without leaving their boundary.
Impala + Hive consumers stay current
Governed Iceberg tables serve Impala, Hive and Spark consumers consistently, so every regulated report and model reads the same current operational data.
Integration is the start with Rayven.
Here's what comes with it.
Rayven isn't just a Cloudera connector. It's the operational software platform underneath - so once Cloudera is connected, four more capabilities come online by default.
AI-ready data layer (AI Data Fabric)
Cloudera 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 Cloudera and every other connected system. Your AI stops guessing - cites real Cloudera records + numbers.
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Automation + AI agents
Workflows + AI agents act on Cloudera 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 Cloudera data. No separate BI tool, no separate dev stack.
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All on top of your existing stack. No rip + replace. Cloudera stays Cloudera. Rayven works on what you've already built. Specifically tuned for hybrid on-prem and cloud OT ingestion into CDP Iceberg with SDX 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.
Cloudera 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 CDP's hybrid Iceberg + SDX model.
Rayven streams OT and IoT into CDP Iceberg tables through NiFi, Kafka and REST APIs, with SDX governance and Kerberos auth preserved across on-prem and cloud. Real-time ingestion into the hybrid lakehouse replaces batch NiFi flows, and Cloudera ML predictions sync back to operations.
We stay after go-live.
No handoff. No disappearing. Rayven is a long-term partner when your Cloudera 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 Cloudera data needs to live. Your residency, your rules, your local compliance environment.
The questions Cloudera admins, RevOps + IT ask first.
If you're evaluating Rayven for Cloudera integration, these are the things worth knowing before booking a call.
The 30-minute call covers
- Your Cloudera + 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 Cloudera Data Platform integration?
Cloudera Data Platform integration connects CDP to the real-time operational systems that feed it - OT, IoT, ERP and edge sources - so live data lands SDX-governed and lake insights act back in operations. Rayven delivers this as an AI data fabric, not a single-purpose connector, and is not a lakehouse itself.
Does Rayven replace Cloudera Data Platform?
No. Rayven does not replace CDP and is not a data lake or lakehouse. Rayven is the real-time AI data fabric that sits alongside CDP - streaming operational data into its Iceberg tables, and activating lakehouse data and AI in operations. CDP stays your governed lakehouse; Rayven feeds and activates it.
Can Rayven land OT data in on-premise CDP Private Cloud?
Yes. Rayven ingests OT via OPC-UA, MQTT and Modbus and streams it into CDP Private Cloud on-premise or CDP Public Cloud through NiFi and Kafka, with SDX governance intact. Sovereign, edge and hybrid deployment is supported. See the Rayven Platform.
How does Rayven connect CDP to ERP + databases?
Rayven connects on-premise and cloud ERP and databases via CDC and API through the integration layer, landing them in CDP Iceberg tables alongside OT and IoT data under one governance model.
How long does Cloudera Data Platform integration take with Rayven?
Most CDP integrations go live in 2-12 weeks. A single OT-to-CDP stream runs in 2-3 weeks; a full hybrid fabric that lands operational data and activates lakehouse AI runs 6-12 weeks. Choose DIY, done-for-you or hybrid delivery.
What are the technical specifics of Cloudera Data Platform integration with Rayven?
Rayven connects to CDP through its REST APIs and JDBC, plus NiFi and Kafka for ingest, authenticating with Kerberos, LDAP or Knox. Real-time operational data - OT, IoT, SCADA and historian events - is ingested via OPC-UA, MQTT and Modbus, then written into Apache Iceberg tables so Impala, Hive and Spark can query it immediately rather than after a batch NiFi flow. Table schemas, partitions and Iceberg snapshots are respected, and SDX shared security, lineage and fine-grained policy are preserved end-to-end across on-premise and cloud. Ingest volume is managed through batching and back-pressure so bursts never throttle clusters. On-premise ERP, databases and files land through the same fabric, and Cloudera Machine Learning predictions push back into operations and AI agents via Rayven MCP. Sovereign, edge and hybrid deployment is supported. Validated against CDP Public Cloud and CDP Private Cloud with SDX enabled. Rayven complements CDP; it is not a lakehouse and does not replace it.
Cloudera + 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.