HPE integration that reaches the systems other tools can't.
Connect HPE Ezmeral Data Fabric to your OT, IoT, apps + operational systems in real-time. Stream live data into HPE's distributed file, object and stream store, and make that data and AI actionable back in the operation.
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Live demo · Claude querying HPE + ops via Rayven MCP
Trusted by 240+ teams across Australia + globally
HPE is brilliant at what it does. Useless at everything else your data + AI needs to touch.
HPE Ezmeral gives you a distributed store spanning edge to core, but the real-time operational data is landed by hand-built flows, machine signals arrive late, and the analytics running across sites read data 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 HPE, 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 Kafka or file/object ingestion into the Ezmeral store
- ERP, MES and operational apps that hold the business context edge analytics need
- Edge and plant sites replicating telemetry across a global namespace over intermittent links
- Analytics and AI/ML workloads on Ezmeral that depend on 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.
- HPE + 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
HPE + Rayven: AI, automation + tools that reach every system you run.
5 examples of what Rayven customers run on HPE + integrated systems. Built in weeks, not months.
Real-time data lands in Ezmeral
Rayven streams SCADA, historian and sensor data into the Ezmeral file, object and stream store via its S3 and Kafka-compatible APIs, fed by OPC-UA, MQTT and CDC. Machine data lands in real-time across edge and core.
Business context joins the store
Orders, assets and master data from ERP and MES land in Ezmeral, so edge and core analytics read machine data with its business context intact.
Ezmeral analytics act live
Predictions from analytics and ML on Ezmeral push back to alerts, work orders and AI agents via Rayven MCP, so distributed intelligence drives a live decision at the site.
Multi-site replication of telemetry
Plant and edge sites replicate telemetry across the Ezmeral global namespace over intermittent links, so operational data reaches core consumers without a hand-built sync.
Core consumers stay current
Replicated file, object and stream data reaches core analytics consistently, so every site reads current operational data instead of a delayed copy.
Integration is the start with Rayven.
Here's what comes with it.
Rayven isn't just a HPE connector. It's the operational software platform underneath - so once HPE is connected, four more capabilities come online by default.
AI-ready data layer (AI Data Fabric)
HPE 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 HPE and every other connected system. Your AI stops guessing - cites real HPE records + numbers.
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Automation + AI agents
Workflows + AI agents act on HPE 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 HPE data. No separate BI tool, no separate dev stack.
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All on top of your existing stack. No rip + replace. HPE stays HPE. Rayven works on what you've already built. Specifically tuned for real-time OT ingestion into HPE Ezmeral's file, object and stream store across edge and core.
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.
HPE 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 Ezmeral's file, object + stream store.
Rayven streams OT, IoT and app data into HPE Ezmeral through its S3, POSIX and Kafka-compatible APIs, across the global namespace. Edge-to-core replication ingestion lands machine data in real-time, and Ezmeral analytics 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 HPE 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 HPE data needs to live. Your residency, your rules, your local compliance environment.
The questions HPE admins, RevOps + IT ask first.
If you're evaluating Rayven for HPE integration, these are the things worth knowing before booking a call.
The 30-minute call covers
- Your HPE + 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 HPE Ezmeral Data Fabric integration?
HPE Ezmeral Data Fabric integration connects HPE's distributed store to the real-time operational systems that feed it - OT, IoT, ERP and edge sources - so live data lands across edge and core and insights act back in operations. Rayven delivers this as an AI data fabric, not a single-purpose connector, and is not a data store itself.
Is HPE Ezmeral Data Fabric the same as Rayven's AI Data Fabric?
No - they are different things with a similar name. HPE Ezmeral Data Fabric is HPE's distributed file, object and stream store. Rayven's AI data fabric is a real-time platform that feeds and activates data stores like Ezmeral. Rayven streams operational data into Ezmeral and activates it in operations; it does not replace it.
Does Rayven replace HPE Ezmeral Data Fabric?
No. Rayven does not replace Ezmeral and is not a data store. Rayven is the real-time AI data fabric that sits alongside it - streaming operational data into the file, object and stream store, and activating that data and AI in operations. Ezmeral stays your store; Rayven feeds and activates it.
Can Rayven land OT data in Ezmeral across edge + core?
Yes. Rayven ingests OT via OPC-UA, MQTT and Modbus and streams it into Ezmeral through its S3 and Kafka-compatible APIs, replicated across the global namespace. Sovereign, edge and hybrid deployment is supported. See the Rayven Platform.
How long does HPE Ezmeral Data Fabric integration take with Rayven?
Most Ezmeral integrations go live in 2-12 weeks. A single OT-to-Ezmeral stream runs in 2-3 weeks; a full fabric that lands operational data and activates edge AI runs 6-12 weeks. Choose DIY, done-for-you or hybrid delivery.
What are the technical specifics of HPE Ezmeral Data Fabric integration with Rayven?
Rayven connects to HPE Ezmeral Data Fabric through its REST, S3 and POSIX (NFS) APIs and Kafka-compatible event streams, authenticating with tokens or Kerberos. Real-time operational data - OT, IoT, historian and app events - is ingested via OPC-UA, MQTT and CDC, then written into the file, object or stream store so edge and core analytics read it the moment it lands rather than after a hand-built flow. Namespace layout, object and file structure and access controls are preserved end-to-end, and the global namespace replicates data across sites. Ingest volume is managed through batching and back-pressure so bursts never throttle the store. ERP, databases and files land through the same fabric, and Ezmeral analytics predictions push back into operations and AI agents via Rayven MCP. Note that Ezmeral is HPE's product; Rayven's AI data fabric is the platform feeding it. Validated against HPE Ezmeral Data Fabric across edge, on-premise and cloud. Rayven complements Ezmeral; it is not a data store and does not replace it.
HPE + 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.