QUBOLE INTEGRATION · BUILT FOR EVERYTHING ELSE

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

Connect Qubole to your OT, IoT, apps + operational systems in real-time. Stream live data into your existing Qubole data lake, and make lake data and AI actionable back in the operation.

Get my Qubole integration plan → Talk to us

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

Live demo · Claude querying Qubole + ops via Rayven MCP

What's the status of the OT, IoT + streaming → Qubole object store flow today?

All flowing. Real-time data lands for Qubole is live. No blockers flagged.

OT, IoT + streamingQubole object store

Trusted by 240+ teams across Australia + globally

THE REALITY

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

Teams on existing Qubole deployments still need real-time operational data landed in the lake, machine signals arrive late, and there is no clear path to keep those workloads productive while a modern lake is stood up alongside.

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

OT + IoT sources whose real-time data still needs landing in the object store behind Qubole
ERP, MES and operational apps that hold the business context existing Qubole jobs need
Edge and plant sites streaming telemetry into the cloud object store
A migration path that keeps existing Qubole workloads running while a modern lake is built alongside

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.

Qubole + 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

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

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

OT, IoT + streaming → Qubole object store

Real-time data lands for Qubole

Rayven streams SCADA, historian and sensor data into the cloud object store Qubole reads, via OPC-UA, MQTT and CDC. Existing Spark, Presto and Hive jobs keep running on current operational data, not overnight extracts.

Top 5 accounts trending toward churn?

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

QuboleOT, IoT + streamingProduct DB

ERP + operational apps → Qubole

Business context joins the lake

Orders, assets and master data from ERP and apps land in the object store, so existing Qubole jobs read machine data with its business context intact.

Which won deals are stuck pre-invoice?

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

QuboleERP + operational appsXero

Qubole → Operations + AI agents

Spark + Presto outputs act live

Outputs from existing Spark and Presto jobs push back to alerts, work orders and AI agents via Rayven MCP, so a legacy lake still drives live decisions while you plan ahead.

Status check - is everything in sync?

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

QuboleOperations + AI agents

Edge sites → Object store

Edge telemetry streams to the store

Remote plants and sites buffer and stream telemetry into the cloud object store, so no operational event is lost before it reaches the Qubole workloads that depend on it.

Anything that needs my attention right now?

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

QuboleEdge sitesObject store

Qubole → Modern lake

Bridge to a modern lake at your pace

Rayven lands the same operational data in a modern lake such as Databricks Lakehouse, so workloads move off maintenance at your pace without a hard cutover.

Snapshot of activity in the last 24 hrs?

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

QuboleModern lake

BEYOND INTEGRATION

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

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

AI-ready data layer (AI Data Fabric)

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

Automation + AI agents

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

All on top of your existing stack. No rip + replace. Qubole stays Qubole. Rayven works on what you've already built. Specifically tuned for feeding existing Qubole workloads while bridging the same data to a modern lake.

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

QUBOLE INTEGRATION · WHICH PATH

Pick the right tool for your stack.

Qubole 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

Qubole to other cloud apps

Yes

Best in class

Yes

DIY effort

Qubole 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

Operational data into existing Qubole clusters

Built in

No object storage

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.

LEGACY LAKE BRIDGE

Built to keep existing Qubole workloads fed.

Rayven streams OT, IoT and app data into the cloud object store behind Qubole via REST APIs and the S3 endpoint, so existing Spark, Presto and Hive jobs keep running on current data. A real-time bridge also lands the same data in a modern lake, and predictions sync back to operations.

5/5 · 140+ REVIEWS

We stay after go-live.

No handoff. No disappearing. Rayven is a long-term partner when your Qubole 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 Qubole data needs to live. Your residency, your rules, your local compliance environment.

FAQS

The questions Qubole admins, RevOps + IT ask first.

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

The 30-minute call covers

Your Qubole + 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 Qubole integration?

Qubole integration connects an existing Qubole deployment to the real-time operational systems that feed it - OT, IoT, ERP and edge sources - so live data lands in the lake and 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 Qubole?

No. Rayven does not replace Qubole and is not a data lake. Rayven is the real-time AI data fabric that sits alongside Qubole - feeding its object store, and activating lake data and AI in operations. It can also bridge the same data to a modern lake so you move at your own pace.

Qubole is now under Idera. Can Rayven help us move to a modern lake?

Yes. Rayven keeps existing Qubole workloads fed with current data while landing the same operational data in a modern lake such as Databricks Lakehouse or Snowflake, so there is no hard cutover. Confirm your current account status with us first.

How does Rayven land real-time data for Qubole?

Rayven writes to the cloud object store behind Qubole through REST APIs and the S3 endpoint, fed from OT and IoT via OPC-UA, MQTT and CDC through the integration layer. It also connects databases, ERP and files.

How long does Qubole integration take with Rayven?

Most Qubole integrations go live in 2-12 weeks. A single OT-to-lake stream runs in 2-3 weeks; a fabric that feeds Qubole and bridges to a modern lake runs 6-12 weeks. Choose DIY, done-for-you or hybrid delivery.

What are the technical specifics of Qubole integration with Rayven?

Rayven connects to Qubole through its REST APIs and JDBC, authenticating with API tokens, and writes to the cloud object store - S3, ADLS or GCS - behind it. Real-time operational data - OT, IoT, historian and app events - is ingested via OPC-UA, MQTT and CDC, then landed as Parquet so existing Spark, Presto and Hive jobs query current data rather than overnight extracts. Object layout and partition schema are respected, and access controls are preserved end-to-end. Airflow-orchestrated pipelines pick up the landed data on their existing schedule, and ingest volume is managed through batching and back-pressure. Because Qubole is now under Idera and largely in maintenance, Rayven also lands the same operational data in a modern lake in parallel, so workloads migrate without a hard cutover. ERP, databases and files land through the same fabric, and predictions push back into operations and AI agents via Rayven MCP. Validated against existing Qubole deployments on major clouds. Rayven complements Qubole; it is not a data lake and does not replace it.

Sectors

Job Roles

Overview

Set Engagements

Overview

We Partner With

Library

Our Company

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

Qubole 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.

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

Real-time data lands for Qubole

Business context joins the lake

Spark + Presto outputs act live

Edge telemetry streams to the store

Bridge to a modern lake at your pace

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 to keep existing Qubole workloads fed.

We stay after go-live.

Hosted your way, where you need.

The questions Qubole admins, RevOps + IT ask first.

The 30-minute call covers

What is Qubole integration?

Does Rayven replace Qubole?

Qubole is now under Idera. Can Rayven help us move to a modern lake?

How does Rayven land real-time data for Qubole?

How long does Qubole integration take with Rayven?

What are the technical specifics of Qubole integration with Rayven?

Qubole + AI integration.
In weeks, not months.

Sectors

Job Roles

Overview

Set Engagements

Overview

We Partner With

Library

Our Company

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

Qubole 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.

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

Real-time data lands for Qubole

Business context joins the lake

Spark + Presto outputs act live

Edge telemetry streams to the store

Bridge to a modern lake at your pace

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 to keep existing Qubole workloads fed.

We stay after go-live.

Hosted your way, where you need.

The questions Qubole admins, RevOps + IT ask first.

The 30-minute call covers

What is Qubole integration?

Does Rayven replace Qubole?

Qubole is now under Idera. Can Rayven help us move to a modern lake?

How does Rayven land real-time data for Qubole?

How long does Qubole integration take with Rayven?

What are the technical specifics of Qubole integration with Rayven?

Qubole + 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.

Qubole + AI integration.
In weeks, not months.