IBM INTEGRATION · BUILT FOR EVERYTHING ELSE

IBM Watsonx.data integration that reaches the systems other tools can't.

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

Get my IBM integration plan → Talk to us

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

Live demo · Claude querying IBM + ops via Rayven MCP

What's the status of the OT, IoT + historians → watsonx.data (Iceberg) flow today?

All flowing. Real-time data lands in the lakehouse is live. No blockers flagged.

OT, IoT + historianswatsonx.data (Iceberg)

Trusted by 240+ teams across Australia + globally

THE REALITY

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

Operational data reaches watsonx.data through hand-built pipelines and batch loads, real-time machine data lands late, and the watsonx.ai models built on the lakehouse never reach the plant where the decision is 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 IBM, 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 must land in Iceberg for Presto and Spark to reach
ERP, MES and operational apps that hold the business context watsonx models need
Edge and plant sites in hybrid estates streaming telemetry into the lakehouse
Operational systems and agents that should act on watsonx.ai predictions, not just governed queries

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.

IBM + 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

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

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

OT, IoT + historians → watsonx.data (Iceberg)

Real-time data lands in the lakehouse

Rayven streams SCADA, historian and sensor data into watsonx.data Iceberg tables via OPC-UA, MQTT and CDC. Machine data lands in real-time for Presto and Spark, not through an overnight batch load.

Top 5 accounts trending toward churn?

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

IBMOT, IoT + historianswatsonx.data (Iceberg)

ERP + MES → watsonx.data

Business context joins the lakehouse

Orders, assets and master data from ERP and MES flow into the shared metastore, so watsonx models and analysts see 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?

IBMERP + MESwatsonx.data

watsonx.data → Operations + AI agents

watsonx.ai predictions act live

Predictions from watsonx.ai on the lakehouse 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.

IBMwatsonx.dataOperations + AI agents

Edge + plant sites → Hybrid watsonx.data

Hybrid ingestion, on-prem or cloud

Plant and edge sites stream telemetry into watsonx.data on IBM Cloud, AWS or on-premise, so hybrid and sovereign estates land operational data without leaving their boundary.

Anything that needs my attention right now?

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

IBMEdge + plant sitesHybrid watsonx.data

watsonx.data → Downstream engines

Presto + Spark consumers stay current

Governed Iceberg tables serve Presto and Spark consumers consistently, so every report and model reads the same current operational data across engines.

Snapshot of activity in the last 24 hrs?

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

IBMwatsonx.dataDownstream engines

BEYOND INTEGRATION

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

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

AI-ready data layer (AI Data Fabric)

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

Automation + AI agents

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

All on top of your existing stack. No rip + replace. IBM stays IBM. Rayven works on what you've already built. Specifically tuned for real-time OT ingestion into watsonx.data Iceberg tables across hybrid and cloud.

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

IBM INTEGRATION · WHICH PATH

Pick the right tool for your stack.

IBM 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

IBM to other cloud apps

Yes

Best in class

Yes

DIY effort

IBM 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

OT data into watsonx.data Presto engine

Built in

No streaming ingest

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.

PRESTO + ICEBERG NATIVE

Built for the watsonx.data Presto + Iceberg model.

Rayven streams OT, IoT and app data into watsonx.data Iceberg tables through its REST API and JDBC, with the shared metastore and IAM auth preserved. Real-time ingestion for Presto and Spark replaces batch loads, and watsonx.ai predictions 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 IBM 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 IBM data needs to live. Your residency, your rules, your local compliance environment.

FAQS

The questions IBM admins, RevOps + IT ask first.

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

The 30-minute call covers

Your IBM + 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 IBM watsonx.data integration?

IBM watsonx.data integration connects the watsonx.data lakehouse to the real-time operational systems that feed it - OT, IoT, ERP and edge sources - so live data lands in Iceberg 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 IBM watsonx.data?

No. Rayven does not replace watsonx.data and is not a data lake or lakehouse. Rayven is the real-time AI data fabric that sits alongside watsonx.data - streaming operational data into its Iceberg tables, and activating lakehouse data and AI in operations. watsonx.data stays your lakehouse; Rayven feeds and activates it.

How is this different from the IBM Db2 Warehouse page?

This page covers the open lakehouse - Presto and Spark over Apache Iceberg on object storage. For the structured warehouse angle, see IBM Db2 Warehouse on our Data Warehouse hub. Rayven feeds and activates both.

Can Rayven land OT data in watsonx.data across hybrid + cloud?

Yes. Rayven ingests OT via OPC-UA, MQTT and Modbus and streams it into watsonx.data on IBM Cloud, AWS or on-premise, landing it in Iceberg for Presto and Spark. Sovereign, edge and hybrid deployment is supported. See the Rayven Platform.

How long does IBM watsonx.data integration take with Rayven?

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

What are the technical specifics of IBM watsonx.data integration with Rayven?

Rayven connects to watsonx.data through its REST APIs and JDBC, authenticating with API keys and IAM. Real-time operational data - OT, IoT, historian and app events - is ingested via OPC-UA, MQTT, Modbus and CDC, then written into Apache Iceberg tables so the Presto and Spark engines can query it immediately rather than after a batch load. Table schemas, partitions and Iceberg snapshots are respected, and the shared metastore, lineage and access controls are preserved end-to-end across hybrid and cloud form factors. Ingest volume is managed through batching and back-pressure so bursts never throttle the engines. On-premise ERP, databases and files land through the same fabric, and watsonx.ai predictions push back into operations and AI agents via Rayven MCP. For the structured warehouse angle, see IBM Db2 Warehouse. Validated against watsonx.data on IBM Cloud, AWS and on-premise. Rayven complements watsonx.data; it is not a lakehouse and does not replace it.

Sectors

Job Roles

Overview

Set Engagements

Overview

We Partner With

Library

Our Company

IBM Watsonx.data integration that reaches the systems other tools can't.

IBM 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.

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

Real-time data lands in the lakehouse

Business context joins the lakehouse

watsonx.ai predictions act live

Hybrid ingestion, on-prem or cloud

Presto + Spark consumers stay current

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 watsonx.data Presto + Iceberg model.

We stay after go-live.

Hosted your way, where you need.

The questions IBM admins, RevOps + IT ask first.

The 30-minute call covers

What is IBM watsonx.data integration?

Does Rayven replace IBM watsonx.data?

How is this different from the IBM Db2 Warehouse page?

Can Rayven land OT data in watsonx.data across hybrid + cloud?

How long does IBM watsonx.data integration take with Rayven?

What are the technical specifics of IBM watsonx.data integration with Rayven?

IBM + AI integration.
In weeks, not months.

Sectors

Job Roles

Overview

Set Engagements

Overview

We Partner With

Library

Our Company

IBM Watsonx.data integration that reaches the systems other tools can't.

IBM 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.

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

Real-time data lands in the lakehouse

Business context joins the lakehouse

watsonx.ai predictions act live

Hybrid ingestion, on-prem or cloud

Presto + Spark consumers stay current

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 watsonx.data Presto + Iceberg model.

We stay after go-live.

Hosted your way, where you need.

The questions IBM admins, RevOps + IT ask first.

The 30-minute call covers

What is IBM watsonx.data integration?

Does Rayven replace IBM watsonx.data?

How is this different from the IBM Db2 Warehouse page?

Can Rayven land OT data in watsonx.data across hybrid + cloud?

How long does IBM watsonx.data integration take with Rayven?

What are the technical specifics of IBM watsonx.data integration with Rayven?

IBM + 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.

IBM + AI integration.
In weeks, not months.