DATABRICKS INTEGRATION · BUILT FOR EVERYTHING ELSE

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

Q: What systems can Rayven connect Databricks SQL to?

Rayven connects Databricks SQL to 600+ systems including [Salesforce](/solutions/data-integration-platform/crm-integration/salesforce-sales-cloud-integration), [HubSpot CRM](/solutions/data-integration-platform/crm-integration/hubspot-crm-integration), [NetSuite ERP](/solutions/data-integration-platform/erp-integrations/netsuite-erp-integration), [Xero](/solutions/data-integration-platform/accounting-software-integration/xero-accounting-integration), Kafka, S3, Azure Blob, GCS + sibling [Databricks Lakehouse](/solutions/data-integration-platform/data-lake-integration/databricks-lakehouse-integration) - plus AI agents via [Rayven MCP](/solutions/custom-ai-solutions/rayven-mcp).

Q: How does Rayven preserve Unity Catalog governance downstream?

Rayven's [data layer](/platform#data) carries Unity Catalog grants, row-level filters + column masks end-to-end. CRM, BI + AI agents downstream see the same governance Databricks enforces - no governance gap between warehouse + ops.

Connect Databricks SQL to every system + workflow it doesn't natively reach. Make your warehouse the operational core for live data, AI agents + apps.

240+

deployments live

600+

fast-track connectors

3 wks

average deploy

66%

faster than DIY

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 Operational systems → Databricks SQL flow today?

All flowing. Real-time CDC via Delta Live Tables + Auto Loader is live. No blockers flagged.

Operational systemsDatabricks SQL

Trusted by 240+ teams across Australia + globally

THE REALITY

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

Databricks SQL runs Photon-fast on Delta, but downstream ops apps + portals still poll on a refresh schedule. Unity Catalog wraps governance inside the Databricks estate; outside it, custom apps strip masking. AI agents lose context when MLflow runs are batched. Multi-warehouse estates across regions need a federation layer Databricks Workflows wasn't designed to deliver in real-time.

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

What Zapier + iPaaS reach

SaaS-to-SaaS. Useful, until it isn't.

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

CRM, ERP + ops apps reading Databricks SQL through scheduled materialised-view refreshes
Real-time CDC from operational OLTP into Databricks via Delta Live Tables + Auto Loader
AI agents querying Databricks SQL live through MCP rather than batched MLflow runs
Customer-facing apps + portals backed by Databricks SQL with Photon-aware caching + Unity Catalog RBAC
Sibling [Databricks Lakehouse](/solutions/data-integration-platform/data-lake-integration/databricks-lakehouse-integration) federation when query patterns cross warehouse + lakehouse

What Rayven reaches

Ops, apps, agents, BI + 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. Australian-priced.

Databricks + every CRM, ERP + operational system
Streaming, CDC, files, APIs + 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.

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

Operational systems → Databricks SQL

Real-time CDC via Delta Live Tables + Auto Loader

Change-data events from Salesforce, NetSuite ERP + custom OLTP stream into Databricks via Delta Live Tables + Auto Loader. Sub-second arrival into Delta tables, no scheduled job.

Anything that needs my attention right now?

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

DatabricksOperational systems

Databricks SQL → CRM, ERP + ops apps

Reverse ETL with Unity Catalog governance

Segments, propensity models + Photon-accelerated query outputs push back to HubSpot CRM, Xero + custom ops apps. Unity Catalog grants + masking travel through every flow.

Which won deals are stuck pre-invoice?

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

DatabricksCRM, ERP + ops appsXero

Databricks SQL → Claude + AI agents

Claude queries Databricks SQL live via Rayven MCP

Claude + your AI agents query Databricks SQL warehouses live through Rayven MCP. Unity Catalog row-level filters + column masks travel through the connection - governance preserved end-to-end.

Status check - is everything in sync?

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

DatabricksClaude + AI agents

Databricks SQL + Lakehouse → Federated fabric

Warehouse + Lakehouse federation

Databricks SQL warehouses + sibling Databricks Lakehouse join with Rayven's real-time streams in a single query plane. Unity Catalog lineage preserved across both surfaces.

Anything that needs my attention right now?

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

DatabricksFederated fabric

Databricks SQL → Custom apps + portals

Customer-facing apps on Databricks SQL

Portals + embedded analytics on top of Databricks SQL via Rayven's app layer. Photon-aware result caching, RBAC + per-tenant filters all handled - serverless SQL warehouses scale to demand.

Full picture on this account before my call?

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

DatabricksCustom apps + portalsUnified

MLflow → Real-time inference

MLflow training + real-time inference

MLflow runs train models on Delta tables; Rayven streams predictions back into ops systems in real-time via the AI Data Fabric. No batched scoring run, no separate inference store.

Status check - is everything in sync?

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

DatabricksMLflowReal-time inference

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 + structured so AI models, agents + tools can use it without ETL prep work.
Learn more →

Live AI access (Rayven MCP)

Claude, ChatGPT + Gemini get live, governed access to Databricks + 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 Databricks Photon-aware routing + Unity Catalog governance preservation.

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 SaaS

Yes

Best in class

Yes

DIY effort

Databricks to OT / SCADA / IoT

Yes

Custom build

Months of work

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

Databricks SQL Photon + Unity Catalog preservation

Built in

No Unity Catalog awareness

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.

240+ DEPLOYMENTS

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.

PHOTON + UNITY CATALOG NATIVE

Built for Databricks's warehouse-on-Delta model.

Rayven uses Delta Live Tables + Auto Loader for sub-second CDC sync into Delta tables, the Statement Execution API + REST endpoints for query, with Photon-aware routing across Serverless + Pro + Classic SQL warehouses. Unity Catalog grants + masking schema travel through every flow.

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 SQL integration?

Databricks SQL integration is the practice of connecting Databricks SQL warehouses to the rest of your business stack - CRM, ERP, customer-facing apps + AI agents - so warehouse data is usable everywhere it matters. Rayven delivers Databricks SQL integration as part of an AI data fabric, not a scheduled job.

How does Rayven connect Databricks SQL to other systems?

Rayven uses Databricks SQL's Statement Execution API, REST API, JDBC/ODBC drivers + Delta Sharing for real-time bidirectional sync. OAuth, PAT + SCIM authentication handled per workspace. Delta Live Tables + Auto Loader integrate as first-class events. See the Rayven Platform.

What systems can Rayven connect Databricks SQL to?

Rayven connects Databricks SQL to 600+ systems including Salesforce, HubSpot CRM, NetSuite ERP, Xero, Kafka, S3, Azure Blob, GCS + sibling Databricks Lakehouse - plus AI agents via Rayven MCP.

How does Rayven preserve Unity Catalog governance downstream?

Rayven's data layer carries Unity Catalog grants, row-level filters + column masks end-to-end. CRM, BI + AI agents downstream see the same governance Databricks enforces - no governance gap between warehouse + ops.

Does Databricks SQL have a native API? Why does Rayven add value on top?

Yes - Databricks SQL ships Statement Execution API, REST, JDBC/ODBC, Delta Sharing + Delta Live Tables. Rayven adds value because production sync needs more than a connector: Photon-aware routing, Unity Catalog preservation, MCP-grade AI access + warehouse-Lakehouse federation. Read more in how Rayven works.

What are the most common Databricks SQL integration use cases?

Top use cases are Delta Live Tables CDC, reverse ETL to CRM + ERP with Unity Catalog preserved, Claude querying Databricks SQL via MCP, warehouse-Lakehouse federation + MLflow real-time inference. See the automations above for specifics.

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

Rayven uses Databricks SQL's Statement Execution API, REST API, JDBC/ODBC drivers, Delta Sharing + Delta Live Tables for real-time bidirectional sync, authenticated via OAuth, PAT + SCIM with per-workspace credential rotation. Delta Live Tables + Auto Loader drive sub-second CDC into Delta tables; the Statement Execution API runs headless queries against Serverless + Pro + Classic SQL warehouses. Photon-aware routing means operational reads route to cached Photon result sets while analytical workloads keep the larger compute. Unity Catalog grants, row-level filters + column masks travel through every flow into CRM, ERP, AI agents + custom apps. Sibling Databricks Lakehouse shares the underlying Delta layer + federates in a single query plane. MLflow training runs hand outputs to Rayven's automation layer for real-time inference. Multi-cloud Databricks workspaces across AWS, Azure + GCP federate via Rayven's customer-master layer. Claude + your AI agents query Databricks SQL through Rayven MCP. Validated against Serverless, Pro + Classic SQL deployments + the Rayven Platform.

Give AI agents all your data.

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 needs to touch.

SaaS-to-SaaS. Useful, until it isn't.

Ops, apps, agents, BI + AI. One platform.

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

Real-time CDC via Delta Live Tables + Auto Loader

Reverse ETL with Unity Catalog governance

Claude queries Databricks SQL live via Rayven MCP

Warehouse + Lakehouse federation

Customer-facing apps on Databricks SQL

MLflow training + real-time inference

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 Databricks's warehouse-on-Delta 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 SQL integration?

How does Rayven connect Databricks SQL to other systems?

What systems can Rayven connect Databricks SQL to?

How does Rayven preserve Unity Catalog governance downstream?

Does Databricks SQL have a native API? Why does Rayven add value on top?

What are the most common Databricks SQL integration use cases?

What are the technical specifics of Databricks SQL 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.