DATA LAKE INTEGRATION · AI-READY

Data lake integration that lands every real-time source + makes your lake AI-ready.

Connect any data lake to every OT, IoT, app + operational system your business runs on - stream live data into the lake, and make lake data and AI actionable back in the operation.

Get my data lake integration plan → Talk to us

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

YOUR DATA LAKE

+ 9 more data lakes · scroll down to find yours ↓

AI-READY

Live demo · Claude querying lake data via Rayven MCP

Which OT feeds haven’t landed in the lake in the last hour?

3 SCADA feeds are behind - Line 4 vibration, Compressor Station 2 and the site weather station. All three write via MQTT normally; likely a broker outage. Every other stream is current to the minute in Delta Lake.

SCADA Data Lake MES

Trusted by 240+ teams across Australia + globally

THE REALITY

Every data lake hits the same wall: the real-time operational data is the hardest to land, and lake insights stay in the lake.

Data lakes ingest business data well, but OT, IoT and streaming data - the record of what is happening right now - are the hardest sources to land, and the models built on top rarely reach the people making a live operational decision.

The hardest data to land in the lake is the real-time operational data.

Your lake ingests business data well. But OT and IoT - SCADA, historians, PLCs, machine and line data, live app and edge events - still arrive as nightly files or never land at all. The one dataset that describes what is happening right now is the one the lake struggles to reach.

Lake insights stay in the lake, away from live operations.

Features, models and predictions built on lake data rarely reach the line, the field or the agent making a live decision. Analytics engineering ships a model; operations never sees it act. The value stays in a notebook, not on the floor.

Every source is another brittle pipeline into the lake.

OT feeds, CDC jobs, file drops and streaming ingest are each hand-built and each break at the next schema change or firmware update. Point-to-point ingestion cannot scale across OT, IT and streaming without a maintenance burden that grows with every source.

Rayven is operational software

for an AI-powered world

YOUR WORLD

THE RAYVEN PLATFORM

YOUR OUTCOMES

SCADA + OT

Databases (SQL, NoSQL)

Streaming Feeds

IoT + Edge Devices

Real-time Telemetry

Files + Documents

ERP + CRM Systems

APIs + Webhooks

SECURED PERIMETER

01INTEGRATIONAI

Connect anything, in + out

02DATAAI

Store, structure + serve

03EXECUTIONAI

Decide, automate + act

04PRESENTATIONAI

Show, ask + interact

05SECURITYAI

Protected, governed, hosted

Real-Time Dashboards

Conversational AI

Mobile + Web Apps

People + Approvals

AI Agents

Predictive AI + ML

Machine Control

Alerts + Notifications

Reports + Data Exports

API + Webhook

BEYOND INTEGRATION

Integration is just the start with Rayven, here’s what comes with it.

Rayven isn’t just a data lake connector. It’s the operational software platform underneath - so once your lake is connected, four capabilities come online by default.

AI-ready lake data (AI Data Fabric)

Every data lake, OT source, IoT feed and operational system unified into a real-time AI data fabric. Live machine data, streaming events and lake insight, without batch delays. See the AI Data Fabric →

Live AI access (Rayven MCP)

Claude, ChatGPT + Gemini get live, governed access to your lake data. Query streaming ingestion, flag pipeline failures and answer operational questions against real-time data - not a stale extract. See Rayven MCP →

Automation + AI agents

Schema-change alerts, ingestion-failure recovery, lake-to-operations routing and AI anomaly detection run automatically on live data. Agents act on real events streaming into the lake - not yesterday’s batch job. See Automation + AI agents →

Custom apps + portals

Data-engineering workspace apps, pipeline health dashboards, lake catalog portals and operations-facing field apps - built on your unified lake and operational data. Every Rayven customer who runs data lake integrations ends up here. See custom apps + portals →

All on top of your existing stack. No rip and replace. Your data lake stays your data lake. Rayven works on what you’ve already built.

NOT READY FOR A CALL YET?

Get a free data lake integration plan in 30 minutes.

A focused session with Rayven’s Australian team. Bring your data lake + the systems you want it connected to. Walk away with a tailored plan - what’s reachable, what to bring in first, time and scope.

Honest read on whether Rayven’s the right fit
Live walkthrough against your lake + operational stack
Tailored data lake integration + AI plan, emailed after
No-obligation - we’ll tell you if it’s not for you

Get my free plan → Avg call: 23 mins

What you walk away with

✓

Connected-system inventory

Every source in your lake pipeline mapped to the right Rayven integration layer.

✓

Use-case shortlist

3-5 highest-leverage automation and AI use cases for your data engineering and operations teams.

✓

Time + scope estimate

Honest 2-12 week range, with what fits inside each phase.

✓

Delivery pathway recommendation

DIY, Done-for-you or Hybrid - based on your team and timeline.

Why Rayven costs less than enterprise solutions.

Businesses of all shapes and sizes need powerful systems, but not the cost and chaos that come with traditional enterprise software.

Rayven delivers the same outcomes as multiple, expensive enterprise technologies, but with a radically lighter footprint + much, much faster.

Speak to us today to find out more.

Everything you need in one platform.

Integration, storage, data processing, automation, AI + apps: one platform.

We own, build + run our own technology.

No resellers or third-party mark-ups; new capabilities are aligned to you.

Delivered for you by our specialists.

We design, build, deploy + support - no need for developers or consultants.

Start small then scale, infinitely.

Start small, expand across sites + teams without engineering or lock-in.

FAQS

Frequently asked questions about data lake integration.

What data lakes does Rayven integrate?

Rayven integrates every major data lake and lakehouse including Databricks Lakehouse, Snowflake, Azure Data Lake Storage, AWS Lake Formation and 11 more. Rayven also lands data via REST, JDBC, the S3 API, files and database CDC into any object store or lakehouse.

Is Rayven a data lake?

No. Rayven is not a data lake and does not replace one. Rayven is a real-time AI data fabric that sits alongside your lake - streaming operational data into it, and activating lake data and AI back in operations. Your lake stays your lake; Rayven feeds and activates it. See the Rayven Platform for how the layers fit together.

How does Rayven get real-time OT + IoT data into the lake?

Rayven’s integration layer ingests OT and IoT through OPC-UA, MQTT, Modbus and CDC, then writes it into your lake in open formats. It also connects databases, ERP, files and streaming sources - 1,228+ fast-track connectors in all - so the lake finally holds live operational data, not just overnight extracts.

How long does data lake integration take with Rayven?

Most data lake integrations go live in 2-12 weeks. A single OT-to-lake stream runs in 2-3 weeks; a full fabric that lands operational data and activates lake AI in operations typically runs 6-12 weeks. Choose DIY, done-for-you or hybrid delivery - all three with Australian-based expert delivery.

Can lake data + AI act back in live operations?

Yes. Features, models and predictions built on the lake push back to alerts, work orders, control and AI agents via Rayven MCP. Lake intelligence drives a live decision at the machine or in the field - not a dashboard that stays unopened. This closed loop is the point of the AI data fabric.

What’s the difference between a data lake + a data warehouse for Rayven?

A data lake holds raw, unstructured and streaming data on schema-on-read object storage for analytics and ML. A data warehouse holds structured, schema-on-write data for BI and SQL. Rayven feeds and activates both the same way - streaming real-time operational data in, and pushing insights back to operations. It is neither, and replaces neither.

Rayven is loved by IT, Digital, Ops... everyone.

Rated 5/5 based on over 140 reviews across SourceForge, Capterra, GetApp, Software World, DEVPOST, and G2.

‘Easy IoT solutions.’
‘A practical solution
for connecting our
machinery and data.’
Etiko, CEO, Machinery
‘Fast, reliable, and
developer-friendly.’
Chloe, IT
‘Allows us to deliver
a remarkable number
of different energy
and IoT solutions.’
Gavin, CEO
‘A more user-friendly
alternative, eliminating
the heavy setups.’
‘A versatile low-code
platform that
really delivers.’
Marof, Outsourcing
‘The best balance
of no-code simplicity
and dev flexibility.’
Alexander, Developer

‘Switch to code when
needed is incredibly
useful.’
‘A true all-in-one
platform for
IT Teams.’
Margarita, IT Consultant
‘Rayven helps us
move from idea
to execution fast.’
James, Mechanist
‘We see Rayven as
a key part of our
digital transformation.’
Rob, CEO
‘Incredible for
monitoring our critical
medical storage.’
Tami, Pharmaceuticals
‘Fast automation, great
for fraud and
risk management.’
Frank, Risk Manager, Insurance
‘A powerful all-in-one
platform for building apps
and automations.’

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Data lake integration that lands every real-time source + makes your lake AI-ready.

Pick your data lake. See exactly how Rayven feeds it + activates it.

Every data lake hits the same wall: the real-time operational data is the hardest to land, and lake insights stay in the lake.

The hardest data to land in the lake is the real-time operational data.

Lake insights stay in the lake, away from live operations.

Every source is another brittle pipeline into the lake.