DATABRICKS INTEGRATION · BUILT FOR EVERYTHING ELSE

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

Connect Databricks Lakehouse to your OT, IoT, apps + operational systems in real-time. Stream live machine and sensor data into Delta Lake, and make lakehouse data and AI actionable back in the operation.

Get my Databricks integration plan → Talk to us

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

Live demo · Claude querying Databricks + ops via Rayven MCP

What's the status of the OT, IoT + historians → Databricks Delta Lake flow today?

All flowing. Real-time machine data lands in Delta is live. No blockers flagged.

OT, IoT + historiansDatabricks Delta Lake

Trusted by 240+ teams across Australia + globally

THE REALITY

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

Data engineers hand-build a Spark job for every operational source, real-time machine data lands hours late, and the models trained in the lakehouse never reach the line where the decision is actually made.

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

OT + IoT sources - SCADA, historians, MQTT brokers and machine controllers - whose real-time data rarely lands in Delta without a custom Spark job
ERP, MES and line-of-business apps that hold the operational context lakehouse models need
Streaming feeds and edge events that arrive faster than batch ingestion can absorb
Operational systems and agents that should act on Unity Catalog features and predictions, not just read a dashboard

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.

Databricks + 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

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

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

OT, IoT + historians → Databricks Delta Lake

Real-time machine data lands in Delta

Rayven streams SCADA, historian and MQTT data into Delta Lake tables continuously via OPC-UA, MQTT and CDC. Sensor and machine data arrives in real-time, catalogued in Unity Catalog, not as an overnight batch.

Top 5 accounts trending toward churn?

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

DatabricksOT, IoT + historiansProduct DB

ERP + MES → Databricks Lakehouse

Operational context joins the lakehouse

Orders, work orders and asset master data from ERP and MES flow into Unity Catalog so models and analysts see machine data with its full business context, not in isolation.

Which won deals are stuck pre-invoice?

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

DatabricksERP + MESXero

Databricks Lakehouse → Operations + AI agents

Predictions act in the operation

Model outputs and features from MLflow and Unity Catalog push back to alerts, work orders and AI agents via Rayven MCP - so lakehouse intelligence drives a live decision on the floor.

Status check - is everything in sync?

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

DatabricksOperations + AI agents

Databricks Lakehouse → Data warehouse + BI

Curated data flows downstream

Gold-layer Delta tables sync to your data warehouse and BI tools with lineage preserved, so the lakehouse and the warehouse stay consistent rather than drifting apart.

Schedule fulfilment for this week's closed deals.

7 work orders created. 4 picked, 2 awaiting stock, 1 escalated.

DatabricksData warehouse + BIWMS

Edge sites → Databricks Lakehouse

Edge telemetry streams to the cloud lakehouse

Remote sites, vehicles and plants buffer and stream telemetry into Delta over intermittent links, so no operational event is lost before it reaches the lakehouse and the models that depend on it.

Snapshot of activity in the last 24 hrs?

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

DatabricksEdge sites

BEYOND INTEGRATION

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

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

AI-ready data layer (AI Data Fabric)

Databricks 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 Databricks and every other connected system. Your AI stops guessing - cites real Databricks records + numbers.
Learn more →

Automation + AI agents

Workflows + AI agents act on Databricks 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 Databricks data. No separate BI tool, no separate dev stack.
Learn more →

All on top of your existing stack. No rip + replace. Databricks stays Databricks. Rayven works on what you've already built. Specifically tuned for real-time OT streaming into Delta Lake with Unity Catalog lineage 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

DATABRICKS INTEGRATION · WHICH PATH

Pick the right tool for your stack.

Databricks 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

Databricks to other cloud apps

Yes

Best in class

Yes

DIY effort

Databricks 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 streaming into Delta Lake + Unity Catalog lineage

Built in

No streaming ingest

Custom build

Months of Spark 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.

DELTA + UNITY CATALOG NATIVE

Built for the Delta Lake + Unity Catalog model.

Rayven streams OT, IoT and app data into Delta Lake via REST and JDBC endpoints, with Unity Catalog governance and lineage preserved. Structured Streaming and Auto Loader ingestion land real-time machine data continuously, and MLflow features 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 Databricks 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 Databricks data needs to live. Your residency, your rules, your local compliance environment.

FAQS

The questions Databricks admins, RevOps + IT ask first.

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

The 30-minute call covers

Your Databricks + 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 Databricks Lakehouse integration?

Databricks Lakehouse integration connects Databricks to the real-time operational systems that feed and consume it - OT, IoT, ERP and streaming sources - so live data lands in Delta Lake and lakehouse insights 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 Databricks?

No. Rayven does not replace Databricks and is not a data lake or lakehouse. Rayven is the real-time AI data fabric that sits alongside Databricks - streaming operational data into Delta Lake, and activating lakehouse data and AI across live operations. Databricks stays your lakehouse; Rayven feeds and activates it.

How does Rayven connect Databricks to OT + IoT data?

Rayven ingests OT and IoT through OPC-UA, MQTT, Modbus and CDC, then writes it into Delta Lake via Databricks REST and JDBC endpoints. See the integration layer for the full connector set, including databases, files and streaming sources.

How long does Databricks integration take with Rayven?

Most Databricks integrations go live in 2-12 weeks. A single OT-to-Delta stream runs in 2-3 weeks; a full fabric that lands operational data and activates lakehouse AI runs 6-12 weeks. Choose DIY, done-for-you or hybrid delivery.

How is this different from the Databricks SQL data warehouse page?

This page covers the Databricks Lakehouse - Delta Lake, Unity Catalog and ML on raw and streaming data. For the structured SQL warehouse angle, see Databricks SQL on our Data Warehouse hub. Rayven feeds and activates both the same way.

What are the technical specifics of Databricks Lakehouse integration with Rayven?

Rayven connects to Databricks through its REST API and JDBC/ODBC endpoints, authenticating with OAuth or personal access tokens against Unity Catalog. Real-time operational data - OT, IoT, historian and app events - is ingested via OPC-UA, MQTT, Modbus and CDC, then written into Delta Lake tables using Structured Streaming and Auto Loader patterns, so machine data lands continuously rather than as a nightly batch. Table schemas, partitions and Delta constraints are respected, and Unity Catalog governance, lineage and field-level access controls are preserved end-to-end. Interactive JDBC endpoints are rate-managed through batching and back-pressure so ingestion never throttles queries. Gold-layer tables sync downstream to your data warehouse and BI, while MLflow features and predictions push back into operations and AI agents via Rayven MCP. Validated against Databricks on AWS, Azure and GCP with Unity Catalog enabled. Rayven complements Databricks; it is not a lakehouse and does not replace it.

Sectors

Job Roles

Overview

Set Engagements

Overview

We Partner With

Library

Our Company

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

Databricks 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.

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

Real-time machine data lands in Delta

Operational context joins the lakehouse

Predictions act in the operation

Curated data flows downstream

Edge telemetry streams to the cloud lakehouse

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 Delta Lake + Unity Catalog model.

We stay after go-live.

Hosted your way, where you need.

The questions Databricks admins, RevOps + IT ask first.

The 30-minute call covers

What is Databricks Lakehouse integration?

Does Rayven replace Databricks?

How does Rayven connect Databricks to OT + IoT data?

How long does Databricks integration take with Rayven?

How is this different from the Databricks SQL data warehouse page?

What are the technical specifics of Databricks Lakehouse integration with Rayven?

Databricks + AI integration.
In weeks, not months.

Sectors

Job Roles

Overview

Set Engagements

Overview

We Partner With

Library

Our Company

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

Databricks 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.

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

Real-time machine data lands in Delta

Operational context joins the lakehouse

Predictions act in the operation

Curated data flows downstream

Edge telemetry streams to the cloud lakehouse

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 Delta Lake + Unity Catalog model.

We stay after go-live.

Hosted your way, where you need.

The questions Databricks admins, RevOps + IT ask first.

The 30-minute call covers

What is Databricks Lakehouse integration?

Does Rayven replace Databricks?

How does Rayven connect Databricks to OT + IoT data?

How long does Databricks integration take with Rayven?

How is this different from the Databricks SQL data warehouse page?

What are the technical specifics of Databricks Lakehouse integration with Rayven?

Databricks + 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.

Databricks + AI integration.
In weeks, not months.