AZURE INTEGRATION · BUILT FOR EVERYTHING ELSE

Azure integration that reaches the systems other tools can't.

Connect Azure Data Lake Storage to your OT, IoT, apps + operational systems in real-time. Stream live machine and sensor data into ADLS Gen2, and make lake data and AI actionable back in the operation.

Get my Azure integration plan → Talk to us

★★★★★5/5 · 140+ reviews Australian-built 99.9% platform uptime

Live demo · Claude querying Azure + ops via Rayven MCP

What's the status of the OT, IoT + historians → ADLS Gen2 flow today?

All flowing. Real-time OT data lands in ADLS is live. No blockers flagged.

OT, IoT + historiansADLS Gen2

Trusted by 240+ teams across Australia + globally

THE REALITY

Azure is brilliant at what it does. Useless at everything else your data + AI needs to touch.

Operational data reaches ADLS through scheduled exports and hand-built pipelines, real-time machine data arrives late, and the analytics built on top run on data that is already hours old.

The integration tool you've already tried probably can't fix it.

What Zapier + iPaaS reach

App-to-app. Useful, until it isn't.

Connectors for Azure, Slack + a thousand other cloud apps. Cheap + fast for the easy half of integration. Where they hit a wall:

OT + IoT sources - PLCs, SCADA and historians - whose real-time data needs streaming into ADLS, not batch export
ERP, MES and operational apps on-premise that hold the context analytics need
Edge and remote sites that must buffer and stream telemetry into the cloud lake over intermittent links
Downstream Synapse, Databricks and Fabric workloads that depend on complete, current lake data

What Rayven reaches

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.

Azure + 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

WHAT YOU CAN BUILD

Azure + Rayven: AI, automation + tools that reach every system you run.

5 examples of what Rayven customers run on Azure + integrated systems. Built in weeks, not months.

OT, IoT + historians → ADLS Gen2

Real-time OT data lands in ADLS

Rayven streams PLC, SCADA and historian data into ADLS Gen2 folders as partitioned Parquet, via OPC-UA, MQTT and CDC. Machine data lands in real-time and is ready for Synapse or Databricks immediately, not overnight.

Top 5 accounts trending toward churn?

5 flagged. Usage drop + support backlog + late renewal. Owners notified.

AzureOT, IoT + historiansADLS Gen2

ERP + MES → ADLS Gen2

Operational context in the lake

Orders, assets and master data from ERP and MES flow into ADLS so downstream analytics read machine data with its business context intact, not stripped away.

Which won deals are stuck pre-invoice?

3 stuck. 2 drafts in accounting, 1 awaiting PO. Auto-finalise?

AzureERP + MESADLS Gen2

ADLS Gen2 → Operations + AI agents

Lake data acts live

Predictions from Synapse and Databricks models on ADLS push back to alerts, work orders and AI agents via Rayven MCP, so lake insight drives a decision at the machine.

Status check - is everything in sync?

All current. Last sync 38 seconds ago, no backlog.

AzureADLS Gen2Operations + AI agents

Edge sites → ADLS Gen2

Edge telemetry streams to the cloud lake

Remote plants and sites buffer and stream telemetry into ADLS over intermittent links, so no operational event is dropped before it reaches the lake and the analytics on top.

Anything that needs my attention right now?

3 items. 1 deal stuck, 1 account flagged, 1 task overdue.

AzureEdge sitesADLS Gen2

ADLS Gen2 → Fabric + Synapse

Downstream analytics stay current

Landed data is available to Microsoft Fabric OneLake and Synapse consistently, so every engine reads the same current operational data.

Snapshot of activity in the last 24 hrs?

47 events processed. 0 errors, 2 retries, all current.

AzureADLS Gen2Fabric + Synapse

BEYOND INTEGRATION

Integration is the start with Rayven.
Here's what comes with it.

Rayven isn't just a Azure connector. It's the operational software platform underneath - so once Azure is connected, four more capabilities come online by default.

AI-ready data layer (AI Data Fabric)

Azure data joined with ERP, IoT + legacy - contextualised, unified and structured so AI models, agents and tools can use it without ETL prep work.
Learn more →

Live AI access (Rayven MCP)

Claude, ChatGPT + Gemini get live, governed access to Azure and every other connected system. Your AI stops guessing - cites real Azure records + numbers.
Learn more →

Automation + AI agents

Workflows + AI agents act on Azure data without human intervention - escalate at-risk accounts, trigger operational work, auto-update forecasts, draft customer comms.
Learn more →

Custom apps + portals

Unified customer portals, ops dashboards, mobile field apps, partner portals - built on top of integrated Azure data. No separate BI tool, no separate dev stack.
Learn more →

All on top of your existing stack. No rip + replace. Azure stays Azure. Rayven works on what you've already built. Specifically tuned for real-time OT ingestion into ADLS Gen2 with Entra ID access control preserved.

The Rayven

AI Data Fabric

MULTIMODAL DATA IN

THE RAYVEN PLATFORM

AI CAPABILITIES OUT

SCADA + OT

Databases

Streaming Feeds

IoT + Sensors

Documents + PDFs

Video + Images

Audio + Voice

Manual + Forms

APIs + Webhooks

AI Agents

Predictive AI + ML

Conversational AI

Real-time Training

AI-led Execution

Multimodal AI

Anomaly Detection

Forecasting

Vision + Edge

Gen AI Summaries

AZURE INTEGRATION · WHICH PATH

Pick the right tool for your stack.

Azure integration looks different at every scale. Honest comparison of the four common paths - Rayven only wins on some of them.

Capability

Rayven

Zapier · Workato

MuleSoft · Boomi

Build it yourself

Azure to other cloud apps

Yes

Best in class

Yes

DIY effort

Azure to legacy DB / files / FTP

Yes

Partial

Yes

DIY effort

Real-time, tier-aware + rate-limit-safe

Yes

Throttled / paid

Yes

Hard to get right

Real-time OT/IoT ingestion into ADLS Gen2

Built in

No streaming ingest

Custom build

Months of work

AI-ready data layer + MCP for AI

Built in

Custom apps + portals on connected data

Built in

Not included

Separate product

Build it

Australian-built · sovereign deploy

Available

US-hosted

Configurable

You decide

Cost vs enterprise iPaaS

Significantly lower

Cheap at low volume

Premium pricing

Internal cost

Time to live

2-12 weeks

Days · per Zap

3-9 months

6-18 months

WHY RAYVEN · NOT JUST ANY CONNECTOR

The integration is the easy bit.
The platform + team behind it is the difference.

99.9% platform uptime

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.

ADLS GEN2 + OT STREAMING NATIVE

Built for the ADLS Gen2 hierarchical namespace.

Rayven streams OT, IoT and app data into ADLS Gen2 through the Data Lake Storage REST API, authenticating with Entra ID. Partitioned Parquet writes with Event Grid change notifications land machine data in real-time, and predictions sync back to operations and AI agents.

5/5 · 140+ REVIEWS

We stay after go-live.

No handoff. No disappearing. Rayven is a long-term partner when your Azure evolves, your stack changes, or you push further. 24/7 support. Same team, same platform, same commercial.

DEPLOY HOW YOU WANT

Hosted your way, where you need.

Deploy as cloud, private cloud + on-premise - in Australia, the US, the UK, or anywhere else your Azure data needs to live. Your residency, your rules, your local compliance environment.

FAQS

The questions Azure admins, RevOps + IT ask first.

If you're evaluating Rayven for Azure integration, these are the things worth knowing before booking a call.

The 30-minute call covers

Your Azure + 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 Azure Data Lake Storage integration?

Azure Data Lake Storage integration connects ADLS Gen2 to the real-time operational systems that feed it - OT, IoT, ERP and edge sources - so live data lands in the lake 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 Azure Data Lake Storage?

No. Rayven does not replace ADLS and is not a data lake. Rayven is the real-time AI data fabric that sits alongside ADLS - streaming operational data into Gen2 storage, and activating lake data and AI in operations. ADLS stays your storage layer; Rayven feeds and activates it.

How does Rayven land real-time data in ADLS Gen2?

Rayven writes to ADLS through the Data Lake Storage REST API as partitioned Parquet, fed from OT and IoT via OPC-UA, MQTT and CDC through the integration layer. It also connects databases, ERP and files, so operational data lands continuously.

Can Rayven connect ADLS to on-premise OT + ERP?

Yes. Rayven ingests on-premise OT via OPC-UA, MQTT and Modbus, and on-premise ERP and databases via CDC and API, then streams them into ADLS Gen2. Sovereign, edge and hybrid deployment is supported. See the Rayven Platform.

How long does Azure Data Lake Storage integration take with Rayven?

Most ADLS integrations go live in 2-12 weeks. A single OT-to-ADLS 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 Azure Data Lake Storage integration with Rayven?

Rayven writes to Azure Data Lake Storage Gen2 through the Blob and Data Lake Storage REST APIs, authenticating with Entra ID or SAS tokens over the hierarchical namespace. Real-time operational data - OT, IoT, PLC and historian events - is ingested via OPC-UA, MQTT, Modbus and CDC, then landed as partitioned Parquet folders so machine data is ready for Synapse, Databricks or Fabric immediately rather than after a scheduled export. Folder layout, partition schema and POSIX-style ACLs are respected, and RBAC governance is preserved end-to-end. Event Grid change notifications drive downstream processing, and high-volume writes are managed through batching and back-pressure so throughput throttling never drops events. On-premise ERP, databases and files land through the same fabric, and predictions push back into operations and AI agents via Rayven MCP. Validated against ADLS Gen2 with hierarchical namespace enabled. Rayven complements ADLS; it is not a data lake and does not replace it.

Sectors

Job Roles

Overview

Set Engagements

Overview

We Partner With

Library

Our Company

Azure integration that reaches the systems other tools can't.

Azure is brilliant at what it does. Useless at everything else your data + AI needs to touch.

App-to-app. Useful, until it isn't.

OT, IoT, apps, streaming + AI. One platform.

Azure + Rayven: AI, automation + tools that reach every system you run.

Real-time OT data lands in ADLS

Operational context in the lake

Lake data acts live

Edge telemetry streams to the cloud lake

Downstream analytics stay current

Integration is the start with Rayven.
Here's what comes with it.

AI-ready data layer (AI Data Fabric)

Live AI access (Rayven MCP)

Automation + AI agents

Custom apps + portals

Rayven is a five-layer platform ALL your integrations + much more
can run on.

Pick the right tool for your stack.

The integration is the easy bit.
The platform + team behind it is the difference.

Platform + team. One commercial.

Built for the ADLS Gen2 hierarchical namespace.

We stay after go-live.

Hosted your way, where you need.

The questions Azure admins, RevOps + IT ask first.

The 30-minute call covers

What is Azure Data Lake Storage integration?

Does Rayven replace Azure Data Lake Storage?

How does Rayven land real-time data in ADLS Gen2?

Can Rayven connect ADLS to on-premise OT + ERP?

How long does Azure Data Lake Storage integration take with Rayven?

What are the technical specifics of Azure Data Lake Storage integration with Rayven?

Azure + AI integration.
In weeks, not months.

Sectors

Job Roles

Overview

Set Engagements

Overview

We Partner With

Library

Our Company

Azure integration that reaches the systems other tools can't.

Azure is brilliant at what it does. Useless at everything else your data + AI needs to touch.

App-to-app. Useful, until it isn't.

OT, IoT, apps, streaming + AI. One platform.

Azure + Rayven: AI, automation + tools that reach every system you run.

Real-time OT data lands in ADLS

Operational context in the lake

Lake data acts live

Edge telemetry streams to the cloud lake

Downstream analytics stay current

Integration is the start with Rayven.Here's what comes with it.

AI-ready data layer (AI Data Fabric)

Live AI access (Rayven MCP)

Automation + AI agents

Custom apps + portals

Rayven is a five-layer platform ALL your integrations + much morecan run on.

Pick the right tool for your stack.

The integration is the easy bit.The platform + team behind it is the difference.

Platform + team. One commercial.

Built for the ADLS Gen2 hierarchical namespace.

We stay after go-live.

Hosted your way, where you need.

The questions Azure admins, RevOps + IT ask first.

The 30-minute call covers

What is Azure Data Lake Storage integration?

Does Rayven replace Azure Data Lake Storage?

How does Rayven land real-time data in ADLS Gen2?

Can Rayven connect ADLS to on-premise OT + ERP?

How long does Azure Data Lake Storage integration take with Rayven?

What are the technical specifics of Azure Data Lake Storage integration with Rayven?

Azure + AI integration.In weeks, not months.

Integration is the start with Rayven.
Here's what comes with it.

Rayven is a five-layer platform ALL your integrations + much more
can run on.

The integration is the easy bit.
The platform + team behind it is the difference.

Azure + AI integration.
In weeks, not months.