IBM integration that reaches the systems other tools can't.
Connect IBM Db2 Warehouse to every system + workflow it doesn't natively reach. Make your warehouse the operational core for live data, AI agents + apps.
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Live demo · Claude querying IBM + ops via Rayven MCP
Trusted by 240+ teams across Australia + globally
IBM is brilliant at what it does. Useless at everything else your data needs to touch.
Db2 Warehouse holds the modelled analytical layer with BLU Acceleration handling the column scans, but downstream ops apps still poll. Cloud Pak for Data wraps governance inside the IBM estate; outside it, custom apps fall back to ETL. AI agents lose time on Cognos cube refreshes. Multi-cloud Db2 estates need a federation layer that respects DPF partition boundaries.
The integration tool you've already tried probably can't fix it.
SaaS-to-SaaS. Useful, until it isn't.
Connectors for IBM, Slack + a thousand other SaaS apps. Cheap + fast for the easy half of integration. Where they hit a wall:
- CRM, ERP + ops apps reading Db2 Warehouse through nightly Cognos refreshes rather than live federation
- Real-time CDC from IBM Db2 OLTP + non-IBM operational sources via Q Replication or Db2 REST Services
- AI agents querying Db2 live through MCP rather than batched Watson Studio notebooks
- Customer-facing apps backed by Db2 Warehouse with BLU-aware caching + row-level security alongside Cloud Pak
- Multi-cloud federation when Db2 Warehouse estates run across IBM Cloud + AWS + on-prem
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.
- IBM + 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
IBM + Rayven: AI, automation + tools that reach every system you run.
6 examples of what Rayven customers run on IBM + integrated systems. Built in weeks, not months.
Real-time CDC via Q Replication + Db2 REST
Change-data events from Salesforce, NetSuite ERP + on-prem Db2 OLTP stream into Db2 Warehouse via Q Replication + Db2 REST Services. Sub-second arrival, no Cognos refresh required.
Reverse ETL in real-time
Segments, propensity models + BLU-accelerated analytical outputs push back to HubSpot CRM, SAP S/4HANA + custom ops apps the moment a Db2 query lands. DPF partition boundaries respected so workloads stay balanced.
Claude queries Db2 Warehouse live via Rayven MCP
Claude + your AI agents query Db2 Warehouse live through Rayven MCP. Row-level security, LBAC labels + Cloud Pak for Data governance policies travel through the connection.
Customer-facing apps on Db2 Warehouse
Portals + embedded analytics on top of Db2 Warehouse via Rayven's app layer. BLU-aware caching, RBAC + per-tenant filters all handled - main MPP cluster stays free for analytical workloads.
Db2 + Hadoop + object store federation
Db2 Big SQL federation across Hadoop + S3 / Cloud Object Storage joins with Rayven's real-time event streams in a single pass. Cloud Pak for Data lineage preserved end-to-end.
ML training data + real-time inference
Watson Studio + watsonx.ai pulls training data from Db2 Warehouse; Rayven streams predictions back into ops systems in real-time. No batched scoring, no separate inference store.
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 + 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 IBM + every other connected system. Your AI stops guessing - cites real IBM records + numbers.
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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 Db2 BLU + DPF-partition-aware routing + Cloud Pak governance handover.
Rayven is a five-layer platform ALL your integrations + much more
can run on.
Integration is one layer of Rayven. Data, execution, presentation + governance are the other four - all delivered as one platform on one commercial.
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.
The integration is the easy bit.
The platform + team behind it is the difference.
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.
Built for Db2 Warehouse's BLU + DPF model.
Rayven uses Q Replication for sub-second CDC sync, Db2 REST Services + JDBC for query, with BLU + DPF-aware routing so operational reads never collide with full-cluster MPP scans. Cloud Pak for Data governance + LBAC labels travel through every flow via the REST + Big SQL endpoints.
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.
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.
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 Db2 Warehouse integration?
IBM Db2 Warehouse integration is the practice of connecting Db2 Warehouse to the rest of your business stack - CRM, ERP, customer-facing apps + AI agents - so warehouse data is usable everywhere it matters. Rayven delivers Db2 integration as part of an AI data fabric, not a Cognos-scheduled extract.
How does Rayven connect Db2 Warehouse to other systems?
Rayven uses Db2 REST Services, JDBC/ODBC, Q Replication for CDC, Db2 Big SQL for federation + Cloud Pak for Data APIs for governance handover. LDAP, Kerberos + SSL authentication handled per environment. See the Rayven Platform for the integration + data layers.
What systems can Rayven connect IBM Db2 Warehouse to?
Rayven connects Db2 Warehouse to 600+ systems including Salesforce, SAP S/4HANA, NetSuite ERP, HubSpot CRM, Hadoop, IBM Cloud Object Storage, S3 + on-prem Db2 OLTP - plus AI agents via Rayven MCP.
How does Rayven handle Db2 Warehouse BLU + DPF?
Rayven's routing is BLU-aware + DPF-partition-aware. Operational reads route to cached BLU result sets; analytical workloads stay on the full MPP cluster. DPF partition boundaries respected when materialising data back into ops systems. See the data layer.
Does Db2 Warehouse have a native API? Why does Rayven add value on top?
Yes - Db2 Warehouse ships Db2 REST Services, JDBC/ODBC, Q Replication + Big SQL. Rayven adds value because production sync needs more than a connector: BLU + DPF-aware routing, Cloud Pak governance handover, MCP-grade AI access + the apps + portal layers on top. Read more in how Rayven works.
What are the most common Db2 Warehouse integration use cases?
Top use cases are Q Replication CDC, reverse ETL to non-IBM CRM + ERP, Claude querying Db2 via MCP, Big SQL + Hadoop federation + watsonx training data pipelines. See the automations above for specifics.
What are the technical specifics of IBM Db2 Warehouse integration with Rayven?
Rayven uses IBM Db2 Warehouse's Db2 REST Services, JDBC/ODBC, Q Replication + Db2 Big SQL for real-time bidirectional sync, authenticated via LDAP, Kerberos + SSL with per-tenant credential rotation. Q Replication drives sub-second CDC from on-prem Db2 OLTP + non-IBM operational sources; Big SQL federates across Hadoop, IBM Cloud Object Storage + S3 in a single pass. BLU Acceleration + Database Partitioning Feature partition boundaries are honoured so operational reads never collide with full-cluster MPP scans. Row-level security, LBAC labels + Cloud Pak for Data governance policies travel through every flow into CRM, ERP, AI agents + custom apps. Watson Studio + watsonx.ai pull training data through the same pipeline; Rayven streams predictions back. Multi-cloud Db2 estates across IBM Cloud, AWS + on-prem reconcile via Rayven's customer-master layer. Claude + your AI agents query Db2 Warehouse through Rayven MCP. Validated against Db2 Warehouse on Cloud + on-prem + the Rayven Platform.
IBM + AI integration.
In weeks, not months.
Book a 30-minute call. Walk away with a tailored plan - what's reachable, what to bring in first, time + scope.