DATABRICKS INTEGRATION · BUILT FOR EVERYTHING ELSE

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

Q: How is this different from Databricks Lakehouse or SQL integration?

Mosaic AI is the model build-and-serve layer; the [Databricks Lakehouse / Data Lake](/solutions/data-integration-platform/data-lake-integration) and [Databricks SQL / Data Warehouse](/solutions/data-integration-platform/data-warehouse-integration) pages cover the data layers. Rayven grounds and operationalises Mosaic AI, and separately connects the data platforms.

Connect Databricks Mosaic AI to every OT, IoT, app + operational system your models run on. Feed real-time operational features into model serving, and push predictions into the systems that act.

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 + operational systems → Mosaic AI feature store flow today?

All flowing. Live online features is live. No blockers flagged.

OT, IoT + operational systemsMosaic AI feature store

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.

Feature tables lag live operations, serving endpoints score on data that is hours old, and model outputs sit in a table nobody wired back into the systems that act.

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:

Real-time OT, IoT and SCADA data that should feed Mosaic AI online features and serving
ERP, work-order and operational apps that Mosaic AI predictions should drive
Operational databases outside the Lakehouse holding live source data
Streaming event sources that should trigger Mosaic AI serving endpoints in real-time

What Rayven reaches

OT, IoT, ERP, apps + operations. 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 ERP, database and enterprise data system
OT/IoT, ERP, apps, databases, streaming + 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 + operational systems → Mosaic AI feature store

Live online features

Real-time OT, IoT, SCADA and app data streams into the Mosaic AI online feature store, so serving endpoints score on features that match current operations.

Top 5 accounts trending toward churn?

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

DatabricksOTMosaic AI feature stor

Mosaic AI serving → ERP + operational apps

Predictions become actions

Model serving outputs post to ERP, work orders and operational apps in real-time, turning a served prediction into a task.

Which won deals are stuck pre-invoice?

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

DatabricksMosaic AI servingERP + operational apps

Operational events → Mosaic AI endpoints

Event-triggered serving

State changes and threshold breaches invoke Mosaic AI serving endpoints in real-time with live features attached, so scores fire on real events.

Status check - is everything in sync?

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

DatabricksOperational eventsMosaic AI endpoints

Enterprise documents + records → Mosaic AI RAG

Ground GenAI in live data

Operational records and documents stream into a retrieval pipeline so Mosaic AI GenAI apps ground on current reality, not a stale index.

Booked revenue vs Databricks closed-won this month?

$2.41M booked, $2.39M closed-won. Two deals awaiting invoice - flagged.

DatabricksEnterprise documentsMosaic AI RAG

Mosaic AI → Dashboards + portals

Surface scores to teams

Predictions and generated outputs surface in operational dashboards, field apps and portals where operations and engineering teams act on them.

Full picture on this account before my call?

Brief loaded. 8 open items, 3 risks, 2 expansion signals.

DatabricksMosaic AIDashboards + portals

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 Mosaic AI online feature-store freshness, serving-endpoint scoring and prediction writeback.

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

Mosaic AI feature-store feed + real-time serving

Built in

No feature store feed

Custom build

Hard to get right

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.

FEATURE STORE + SERVING NATIVE

Built for Mosaic AI's serving and feature model.

Rayven authenticates with Databricks tokens and streams live operational data into the Mosaic AI online feature store through its REST API, keeping features fresh under Unity Catalog governance. Serving endpoint outputs write back to operational systems in real-time, so a Mosaic AI prediction becomes an ERP or app action.

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 Mosaic AI integration?

Databricks Mosaic AI integration connects Mosaic AI to your operational stack - OT, IoT, ERP, apps and databases - so serving grounds on live features and predictions reach the systems that act. Rayven delivers it as part of an AI data fabric, not a single-purpose connector.

How does Rayven connect Databricks Mosaic AI to other systems?

Rayven uses Mosaic AI's REST API, MLflow and serving endpoints, authenticating with Databricks tokens, to stream operational data into the feature store and write predictions back to targets. See the Rayven Platform for how the layers fit.

How is this different from Databricks Lakehouse or SQL integration?

Mosaic AI is the model build-and-serve layer; the Databricks Lakehouse / Data Lake and Databricks SQL / Data Warehouse pages cover the data layers. Rayven grounds and operationalises Mosaic AI, and separately connects the data platforms.

Does Rayven replace Databricks Mosaic AI?

No. Rayven is not an ML platform and does not replace Mosaic AI - it is the real-time AI data fabric that feeds your Mosaic AI serving live features and operationalises its predictions. Your models, training and serving stay on Databricks.

What are common Databricks Mosaic AI integration use cases?

Live online features, event-triggered serving, grounding GenAI apps and pushing predictions into ERP and operational apps. See the automations above for specifics.

What are the technical specifics of Databricks Mosaic AI integration with Rayven?

Rayven integrates Databricks Mosaic AI through its REST API, MLflow and model serving endpoints, authenticating with personal-access or OAuth tokens and respecting workspace and Unity Catalog scoping. The online feature store, serving endpoints, vector search and Foundation Model APIs are handled as first-class flows. Live operational data - OT, IoT, SCADA, ERP and app events - streams into online feature tables and retrieval sources via 1,228+ connectors, OPC-UA, MQTT, CDC and API, so serving never scores on hours-old data. Prediction and generated outputs write back to operational targets like ERP, work orders and dashboards with field-level mapping. This is the Mosaic AI serving integration; the Lakehouse / Data Lake and Databricks SQL / Data Warehouse layers are covered separately. Validated against Mosaic AI serving endpoints, Rayven stays the AI data fabric around Mosaic AI - it never becomes or replaces your model platform.

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, ERP, apps + operations. One platform.

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

Live online features

Predictions become actions

Event-triggered serving

Ground GenAI in live data

Surface scores to teams

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 Mosaic AI's serving and feature 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 Mosaic AI integration?

How does Rayven connect Databricks Mosaic AI to other systems?

How is this different from Databricks Lakehouse or SQL integration?

Does Rayven replace Databricks Mosaic AI?

What are common Databricks Mosaic AI integration use cases?

What are the technical specifics of Databricks Mosaic AI 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, ERP, apps + operations. One platform.

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

Live online features

Predictions become actions

Event-triggered serving

Ground GenAI in live data

Surface scores to teams

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 Mosaic AI's serving and feature 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 Mosaic AI integration?

How does Rayven connect Databricks Mosaic AI to other systems?

How is this different from Databricks Lakehouse or SQL integration?

Does Rayven replace Databricks Mosaic AI?

What are common Databricks Mosaic AI integration use cases?

What are the technical specifics of Databricks Mosaic AI 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.