Dremio integration that reaches the systems other tools can't.
Connect Dremio Lakehouse to your OT, IoT, apps + operational systems in real-time. Land live data in Iceberg, and make lakehouse data and AI query-able and actionable back in the operation.
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Live demo · Claude querying Dremio + ops via Rayven MCP
Trusted by 240+ teams across Australia + globally
Dremio is brilliant at what it does. Useless at everything else your data + AI needs to touch.
Dremio queries the lake well, but the real-time operational data never lands in Iceberg for it to reach, machine signals stay locked in historians, and query results stop at a dashboard instead of driving the operation.
The integration tool you've already tried probably can't fix it.
App-to-app. Useful, until it isn't.
Connectors for Dremio, 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 data must land in Iceberg for Dremio to query, not sit in a historian
- ERP, MES and operational apps that hold the business context Dremio's semantic layer needs
- Edge and remote sites streaming telemetry into the object store Dremio reads
- Operational systems and agents that should act on Dremio query results, not just BI dashboards
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.
- Dremio + 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
Dremio + Rayven: AI, automation + tools that reach every system you run.
5 examples of what Rayven customers run on Dremio + integrated systems. Built in weeks, not months.
Real-time data lands in Iceberg
Rayven lands SCADA, historian and sensor data as Apache Iceberg tables Dremio queries directly, via OPC-UA, MQTT and CDC. Machine data is query-able in real-time, no copy into a warehouse required.
Business context joins the semantic layer
Orders, assets and master data from ERP and apps land in Iceberg and join Dremio's semantic layer, so analysts query machine data with its business context, not without it.
Query results act in the operation
Dremio query results and predictions push back to alerts, work orders and AI agents via Rayven MCP, so a lakehouse answer drives a live decision instead of stopping at a chart.
Edge telemetry streams to the store
Remote plants and sites buffer and stream telemetry into the object store Dremio reads, so no operational event is lost before it becomes query-able in the lakehouse.
Live sources join the federation
Rayven adds real-time operational sources to Dremio's federated query so machine data joins existing lakes and databases in one query, not a separate export.
Integration is the start with Rayven.
Here's what comes with it.
Rayven isn't just a Dremio connector. It's the operational software platform underneath - so once Dremio is connected, four more capabilities come online by default.
AI-ready data layer (AI Data Fabric)
Dremio 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 Dremio and every other connected system. Your AI stops guessing - cites real Dremio records + numbers.
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Automation + AI agents
Workflows + AI agents act on Dremio 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 Dremio data. No separate BI tool, no separate dev stack.
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All on top of your existing stack. No rip + replace. Dremio stays Dremio. Rayven works on what you've already built. Specifically tuned for landing live operational data in Iceberg with Dremio reflections refreshed automatically.
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.
Dremio 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 Dremio's Iceberg + reflection model.
Rayven lands real-time OT, IoT and app data as Apache Iceberg tables Dremio queries directly, and refreshes the reflections that accelerate them. Arrow Flight and REST endpoints feed live operational sources into Dremio's semantic layer, and query results sync back to operations and AI agents.
We stay after go-live.
No handoff. No disappearing. Rayven is a long-term partner when your Dremio 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 Dremio data needs to live. Your residency, your rules, your local compliance environment.
The questions Dremio admins, RevOps + IT ask first.
If you're evaluating Rayven for Dremio integration, these are the things worth knowing before booking a call.
The 30-minute call covers
- Your Dremio + 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 Dremio Lakehouse integration?
Dremio Lakehouse integration connects Dremio to the real-time operational systems that feed and consume it - OT, IoT, ERP and edge sources - so live data lands in Iceberg for Dremio to query and query results 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 Dremio?
No. Rayven does not replace Dremio and is not a data lake or lakehouse. Rayven is the real-time AI data fabric that sits alongside Dremio - landing operational data in Iceberg, and activating query results and AI in operations. Dremio stays your query engine; Rayven feeds and activates it.
How does Rayven land real-time data for Dremio to query?
Rayven writes OT and IoT data as Apache Iceberg tables on your object store, fed via OPC-UA, MQTT and CDC through the integration layer, and refreshes the reflections that accelerate them. It also connects databases, ERP and files, so Dremio queries live operational data directly.
Can Rayven add live operational sources to Dremio's federation?
Yes. Rayven registers real-time operational feeds so Dremio's federated query can join machine data to existing lakes and databases in one SQL statement, without a separate export or copy. See the Rayven Platform for the integration and data layers.
How long does Dremio integration take with Rayven?
Most Dremio integrations go live in 2-12 weeks. A single OT-to-Iceberg stream runs in 2-3 weeks; a full fabric that lands operational data and activates Dremio query results in operations runs 6-12 weeks. Choose DIY, done-for-you or hybrid delivery.
What are the technical specifics of Dremio Lakehouse integration with Rayven?
Rayven connects to Dremio through its JDBC and REST APIs and Arrow Flight, authenticating with OAuth or personal access tokens. Real-time operational data - OT, IoT, historian and app events - is ingested via OPC-UA, MQTT and CDC, then written as Apache Iceberg tables on your object storage so Dremio queries it directly without copying into a warehouse. Table schemas, partitions and Iceberg snapshots are respected, and the semantic-layer virtual datasets and access controls are preserved end-to-end. Reflections that accelerate queries are refreshed automatically as new data lands, and Arrow Flight drives high-throughput reads. Ingest volume is managed through batching and back-pressure so bursts never throttle the engine. ERP, databases and files land through the same fabric and join Dremio's federation, and query results and predictions push back into operations and AI agents via Rayven MCP. Validated against Dremio Cloud and Dremio software. Rayven complements Dremio; it is not a lakehouse and does not replace it.
Dremio + 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.