AWS integration that reaches the systems other tools can't.
Connect AWS Lake Formation to your OT, IoT, apps + operational systems in real-time. Stream live data into your governed S3 lake, and make lake data and AI actionable back in the operation.
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Live demo · Claude querying AWS + ops via Rayven MCP
Trusted by 240+ teams across Australia + globally
AWS is brilliant at what it does. Useless at everything else your data + AI needs to touch.
Operational data reaches the S3 lake through hand-built ingestion and scheduled Glue jobs, real-time machine data lands late, and the governed catalog is missing exactly the operational sources the business runs on.
The integration tool you've already tried probably can't fix it.
App-to-app. Useful, until it isn't.
Connectors for AWS, 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 Kinesis or direct S3 ingestion, not batch files
- ERP, MES and operational apps outside AWS that hold the business context
- Edge and plant sites streaming telemetry into S3 over intermittent links
- Glue Data Catalog tables and Lake Formation permissions that must extend to non-AWS 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.
- AWS + 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
AWS + Rayven: AI, automation + tools that reach every system you run.
5 examples of what Rayven customers run on AWS + integrated systems. Built in weeks, not months.
Operational data lands governed in S3
Rayven streams SCADA, historian and sensor data into your Amazon S3 lake via OPC-UA, MQTT and CDC, registered in the Glue Data Catalog with Lake Formation permissions applied. Machine data lands in real-time, governed from the first byte.
Business context joins the lake
Orders, assets and master data from ERP and apps outside AWS flow into the S3 lake, so Athena and EMR read machine data with its business context, not without it.
Predictions act in the operation
Predictions from Athena and SageMaker 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 S3 over intermittent links, so no operational event is lost before it reaches the lake and the models that depend on it.
Governed data serves query engines
Catalogued, permissioned data serves Redshift Spectrum and Athena downstream, so the same governed operational data feeds BI and the data warehouse consistently.
Integration is the start with Rayven.
Here's what comes with it.
Rayven isn't just a AWS connector. It's the operational software platform underneath - so once AWS is connected, four more capabilities come online by default.
AI-ready data layer (AI Data Fabric)
AWS 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 AWS and every other connected system. Your AI stops guessing - cites real AWS records + numbers.
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Automation + AI agents
Workflows + AI agents act on AWS 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 AWS data. No separate BI tool, no separate dev stack.
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All on top of your existing stack. No rip + replace. AWS stays AWS. Rayven works on what you've already built. Specifically tuned for real-time S3 ingestion with Glue Data Catalog registration and Lake Formation permissions 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.
AWS 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 Lake Formation permissions + Glue Catalog.
Rayven streams OT, IoT and app data into your Amazon S3 lake through Lake Formation and Glue REST APIs, with IAM and fine-grained permissions preserved. Kinesis and direct S3 ingestion land machine data in real-time, registered in the Glue Data Catalog and synced back to AI agents.
We stay after go-live.
No handoff. No disappearing. Rayven is a long-term partner when your AWS 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 AWS data needs to live. Your residency, your rules, your local compliance environment.
The questions AWS admins, RevOps + IT ask first.
If you're evaluating Rayven for AWS integration, these are the things worth knowing before booking a call.
The 30-minute call covers
- Your AWS + 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 AWS Lake Formation integration?
AWS Lake Formation integration connects your governed S3 lake to the real-time operational systems that feed it - OT, IoT, ERP and edge sources - so live data lands catalogued and permissioned, 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 AWS Lake Formation?
No. Rayven does not replace Lake Formation and is not a data lake. Rayven is the real-time AI data fabric that sits alongside your S3 lake - streaming operational data in, registering it in the Glue Data Catalog, and activating lake data and AI in operations. Lake Formation stays your governance layer; Rayven feeds and activates it.
How does Rayven land real-time data in an S3 lake?
Rayven ingests OT and IoT via OPC-UA, MQTT and CDC through the integration layer, streams it into S3 via Kinesis or direct writes, and registers it in the Glue Data Catalog with Lake Formation permissions. It also connects databases, ERP and files.
Can Lake Formation permissions extend to non-AWS operational data?
Yes. Rayven lands operational data from outside AWS - on-premise OT, ERP and edge sources - into the S3 lake, registered in the Glue Data Catalog so Lake Formation's fine-grained permissions govern it exactly like native data. See the Rayven Platform.
How long does AWS Lake Formation integration take with Rayven?
Most Lake Formation integrations go live in 2-12 weeks. A single OT-to-S3 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 AWS Lake Formation integration with Rayven?
Rayven connects through the Lake Formation and Glue REST and SDK APIs, authenticating with IAM roles and Lake Formation permissions. Real-time operational data - OT, IoT, historian and app events - is ingested via OPC-UA, MQTT and CDC, then streamed into Amazon S3 through Kinesis or direct writes and registered in the Glue Data Catalog so it is query-able the moment it lands. Table schemas and partitions are discovered or declared, and fine-grained column and row permissions layered over IAM are preserved end-to-end. Cross-account access uses resource links. High-volume streams are managed through batching and back-pressure so ingestion never throttles. Non-AWS sources - on-premise ERP, databases and files - land through the same fabric and inherit Lake Formation governance. Athena and SageMaker predictions push back into operations and AI agents via Rayven MCP, and catalogued data serves the data warehouse downstream. Validated against Lake Formation with the Glue Data Catalog. Rayven complements Lake Formation; it is not a data lake and does not replace it.
AWS + 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.