Yellowbrick integration that reaches the systems other tools can't.
Connect Yellowbrick Data 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 Yellowbrick + ops via Rayven MCP
Trusted by 240+ teams across Australia + globally
Yellowbrick is brilliant at what it does. Useless at everything else your data needs to touch.
Yellowbrick's Kubernetes-native MPP gives operational teams cluster-level isolation other warehouses can't, but downstream apps + AI still poll. PostgreSQL compatibility lures single-node tooling that misses MPP semantics. Workload Management isolates inside Yellowbrick; outside it, custom apps strip policies. Hybrid + multi-cloud Yellowbrick estates need a federation layer that respects Kubernetes namespace boundaries + query priority.
The integration tool you've already tried probably can't fix it.
SaaS-to-SaaS. Useful, until it isn't.
Connectors for Yellowbrick, Slack + a thousand other SaaS apps. Cheap + fast for the easy half of integration. Where they hit a wall:
- CRM, ERP + ops apps reading Yellowbrick via nightly extracts rather than live federation
- Real-time CDC from operational OLTP into Yellowbrick via PostgreSQL-compatible CDC tools + Kafka
- AI agents querying Yellowbrick live through MCP rather than batched workload-isolated jobs
- Customer-facing apps + portals backed by Yellowbrick with namespace-aware caching + RBAC
- Hybrid + multi-cloud Yellowbrick clusters needing cross-cluster query routing alongside Kubernetes-native scheduling
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.
- Yellowbrick + 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
Yellowbrick + Rayven: AI, automation + tools that reach every system you run.
6 examples of what Rayven customers run on Yellowbrick + integrated systems. Built in weeks, not months.
Real-time CDC via Postgres-compatible + Kafka
Change-data events from Salesforce, HubSpot CRM + custom OLTP stream into Yellowbrick via PostgreSQL-compatible CDC tools + Kafka. Sub-second arrival, namespace-aware ingest.
Reverse ETL with workload-management awareness
Segments, propensity scores + analytical query outputs push back to HubSpot CRM, NetSuite ERP + custom ops apps. Workload Management priority preserved so analytical workloads stay free.
Claude queries Yellowbrick live via Rayven MCP
Claude + your AI agents query Yellowbrick live through Rayven MCP. Row-level security, role-based grants + PostgreSQL-compatible auth travel through the connection.
Customer-facing apps on Yellowbrick
Portals + embedded analytics on top of Yellowbrick via Rayven's app layer. Namespace-aware caching, RBAC + per-tenant filters all handled - Workload Management isolation kept intact.
Hybrid + multi-cloud cluster federation
On-prem Yellowbrick + cloud Yellowbrick (AWS, Azure, GCP) federate through Rayven's AI Data Fabric. Cross-cluster query routing + Kubernetes namespace boundaries respected without rebuilding pipelines.
MPP history + real-time ops in one view
Yellowbrick analytical history joins with Rayven's real-time IoT + transactional stream in a single dashboard. Today's anomaly + years of MPP-scale context together, sub-second.
Integration is the start with Rayven.
Here's what comes with it.
Rayven isn't just a Yellowbrick connector. It's the operational software platform underneath - so once Yellowbrick is connected, four more capabilities come online by default.
AI-ready data layer (AI Data Fabric)
Yellowbrick data joined with ERP, IoT + legacy - contextualised, unified + structured so AI models, agents + tools can use it without ETL prep work.
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Live AI access (Rayven MCP)
Claude, ChatGPT + Gemini get live, governed access to Yellowbrick + every other connected system. Your AI stops guessing - cites real Yellowbrick records + numbers.
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Automation + AI agents
Workflows + AI agents act on Yellowbrick data without human intervention - escalate at-risk accounts, trigger operational work, auto-update forecasts, draft customer comms.
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Custom apps + portals
Unified customer portals, ops dashboards, mobile field apps, partner portals - built on top of integrated Yellowbrick data. No separate BI tool, no separate dev stack.
Learn more →
All on top of your existing stack. No rip + replace. Yellowbrick stays Yellowbrick. Rayven works on what you've already built. Specifically tuned for Yellowbrick Workload-Management-aware routing + Kubernetes namespace cross-cluster orchestration.
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.
Yellowbrick 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 Yellowbrick's Kubernetes-native model.
Rayven uses Yellowbrick's REST API + Kubernetes-native cluster endpoints for query, PostgreSQL-compatible CDC + Kafka for sub-second sync, with Workload Management + namespace-aware routing. LDAP / Kerberos auth + namespace RBAC schema travel through every flow.
We stay after go-live.
No handoff. No disappearing. Rayven is a long-term partner when your Yellowbrick 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 Yellowbrick data needs to live. Your residency, your rules, your local compliance environment.
The questions Yellowbrick admins, RevOps + IT ask first.
If you're evaluating Rayven for Yellowbrick integration, these are the things worth knowing before booking a call.
The 30-minute call covers
- Your Yellowbrick + 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 Yellowbrick Data Warehouse integration?
Yellowbrick Data Warehouse integration is the practice of connecting Yellowbrick to the rest of your business stack - CRM, ERP, customer-facing apps + AI agents - so warehouse data is usable everywhere it matters. Rayven delivers Yellowbrick integration as part of an AI data fabric, not a scheduled extract.
How does Rayven connect Yellowbrick to other systems?
Rayven uses Yellowbrick's REST API, PostgreSQL wire protocol, JDBC/ODBC drivers + Kubernetes-native cluster APIs for real-time bidirectional sync. LDAP, Kerberos + Kubernetes RBAC handled per environment. Workload Management policies flow as first-class context. See the Rayven Platform.
What systems can Rayven connect Yellowbrick to?
Rayven connects Yellowbrick to 600+ systems including Salesforce, HubSpot CRM, NetSuite ERP, Xero, Kafka, S3, GCS, Azure Blob + custom PostgreSQL-compatible sources - plus AI agents via Rayven MCP.
How does Rayven handle Yellowbrick Kubernetes-native workload management?
Rayven's routing is workload-management + namespace-aware. Operational reads route to lower-priority queues + cached results; analytical workloads keep high-priority capacity. Kubernetes namespace boundaries respected when materialising data back into ops systems. See the data layer.
Does Yellowbrick have a native API? Why does Rayven add value on top?
Yes - Yellowbrick ships REST API, PostgreSQL wire protocol, JDBC/ODBC + Kubernetes-native cluster APIs. Rayven adds value because production sync needs more than a connector: workload-management-aware routing, multi-cluster orchestration, MCP-grade AI access + the apps + portal layers on top. Read more in how Rayven works.
What are the most common Yellowbrick integration use cases?
Top use cases are PostgreSQL-compatible CDC, reverse ETL to CRM + ERP, Claude querying Yellowbrick via MCP, hybrid multi-cluster federation + customer-facing apps. See the automations above for specifics.
What are the technical specifics of Yellowbrick Data Warehouse integration with Rayven?
Rayven uses Yellowbrick's REST API, PostgreSQL wire protocol, JDBC/ODBC drivers + Kubernetes-native cluster + namespace APIs for real-time bidirectional sync, authenticated via LDAP, Kerberos + Kubernetes RBAC with per-cluster credential handling. PostgreSQL-compatible CDC tools + Kafka drive sub-second change-data flow from operational OLTP into Yellowbrick's columnar MPP engine; Kubernetes namespace boundaries preserved through ingest. Workload Management + namespace-aware query routing means operational reads route to lower-priority queues + cached results while analytical workloads keep high-priority capacity. Row-level security, role-based grants + PostgreSQL-compatible auth travel through every flow into CRM, ERP, AI agents + custom apps. Hybrid + multi-cloud Yellowbrick estates across on-prem + AWS + Azure + GCP federate via Rayven's customer-master layer with cross-cluster query routing. Claude + your AI agents query Yellowbrick through Rayven MCP. Validated against on-prem + cloud + Kubernetes-native deployments + the Rayven Platform.
Yellowbrick + 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.