Greenplum integration that reaches the systems other tools can't.
Connect Greenplum Database 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 Greenplum + ops via Rayven MCP
Trusted by 240+ teams across Australia + globally
Greenplum is brilliant at what it does. Useless at everything else your data needs to touch.
Greenplum's PostgreSQL compatibility is a gift + a trap - tools work out of the box but treat the cluster like single-node Postgres, killing MPP performance. gpload moves data fast; downstream systems still poll. PXF federates inside Hadoop + S3; outside that, custom apps fall back to extracts. AI agents lose time on MADlib batch runs. Multi-segment scaling needs orchestration tooling Greenplum didn't ship for ops integration.
The integration tool you've already tried probably can't fix it.
SaaS-to-SaaS. Useful, until it isn't.
Connectors for Greenplum, Slack + a thousand other SaaS apps. Cheap + fast for the easy half of integration. Where they hit a wall:
- CRM, ERP + ops apps reading Greenplum via brittle gpload jobs rather than live federation
- Real-time CDC from operational OLTP into Greenplum via PXF + foreign data wrappers
- AI agents querying Greenplum live through MCP rather than batched MADlib runs
- Customer-facing apps + portals backed by Greenplum with MPP-segment-aware caching + RBAC
- PostgreSQL-compatible BI + ETL tooling treating Greenplum like single-node PostgreSQL when MPP awareness is needed
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.
- Greenplum + 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
Greenplum + Rayven: AI, automation + tools that reach every system you run.
6 examples of what Rayven customers run on Greenplum + integrated systems. Built in weeks, not months.
Real-time CDC via PXF + foreign data wrappers
Change-data events from Salesforce, HubSpot CRM + custom OLTP stream into Greenplum via PXF + Postgres foreign data wrappers. Sub-second arrival, MPP-segment-aware ingest.
Reverse ETL with MPP-segment awareness
Segments, propensity scores + MADlib outputs push back to HubSpot CRM, NetSuite ERP + custom ops apps. MPP segment boundaries respected so cluster load stays balanced.
Claude queries Greenplum live via Rayven MCP
Claude + your AI agents query Greenplum live through Rayven MCP. Row-level security, role-based grants + PostgreSQL-compatible auth travel through the connection.
Greenplum + Hadoop + S3 federation
PXF federation across Hadoop + S3 + JDBC sources joins with Rayven's real-time streams in a single query plane. PostgreSQL-compatible tooling sees one logical Greenplum surface.
Customer-facing apps on Greenplum
Portals + embedded analytics on top of Greenplum via Rayven's app layer. MPP-segment-aware result caching, RBAC + per-tenant filters all handled - main cluster stays free for analytics.
MADlib training + real-time inference
MADlib in-database ML trains the model; Rayven streams predictions back into ops systems in real-time. No batched scoring, no separate inference store - PostgreSQL-compatible inference endpoints expose via REST.
Integration is the start with Rayven.
Here's what comes with it.
Rayven isn't just a Greenplum connector. It's the operational software platform underneath - so once Greenplum is connected, four more capabilities come online by default.
AI-ready data layer (AI Data Fabric)
Greenplum 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 Greenplum + every other connected system. Your AI stops guessing - cites real Greenplum records + numbers.
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Automation + AI agents
Workflows + AI agents act on Greenplum 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 Greenplum data. No separate BI tool, no separate dev stack.
Learn more →
All on top of your existing stack. No rip + replace. Greenplum stays Greenplum. Rayven works on what you've already built. Specifically tuned for Greenplum MPP-segment-aware routing + PXF federation + MADlib exposure.
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.
Greenplum 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 Greenplum's PostgreSQL MPP model.
Rayven uses Greenplum's PXF federation + gpfdist for sub-second CDC sync, PostgreSQL wire protocol + REST API for query, with MPP-segment-aware routing. PostgreSQL standard auth + LDAP schema travel through every endpoint. MADlib in-database ML exposes as observable events.
We stay after go-live.
No handoff. No disappearing. Rayven is a long-term partner when your Greenplum 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 Greenplum data needs to live. Your residency, your rules, your local compliance environment.
The questions Greenplum admins, RevOps + IT ask first.
If you're evaluating Rayven for Greenplum integration, these are the things worth knowing before booking a call.
The 30-minute call covers
- Your Greenplum + 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 Greenplum Database integration?
Greenplum Database integration is the practice of connecting Greenplum to the rest of your business stack - CRM, ERP, customer-facing apps + AI agents - so warehouse data is usable everywhere it matters. Rayven delivers Greenplum integration as part of an AI data fabric, not a gpload-scheduled extract.
How does Rayven connect Greenplum to other systems?
Rayven uses Greenplum's REST API, PostgreSQL wire protocol, JDBC/ODBC, PXF for federation, gpfdist for parallel load + foreign data wrappers for CDC. PostgreSQL standard auth, LDAP + Kerberos handled per environment. MADlib outputs flow as first-class events. See the Rayven Platform.
What systems can Rayven connect Greenplum Database to?
Rayven connects Greenplum to 600+ systems including Salesforce, HubSpot CRM, NetSuite ERP, Xero, Hadoop, S3, GCS, Azure Blob + custom PostgreSQL-compatible sources - plus AI agents via Rayven MCP.
How does Rayven respect Greenplum MPP segments?
Rayven's routing is segment-aware. Operational reads route to cached or segment-local plans; analytical workloads scatter-gather across all segments. PXF federation respects segment parallelism. Same on Greenplum on Kubernetes + on-prem. See the data layer.
Does Greenplum have a native API? Why does Rayven add value on top?
Yes - Greenplum ships REST API, PostgreSQL wire protocol, JDBC/ODBC, PXF, gpfdist + MADlib. Rayven adds value because production sync needs more than a connector: MPP-segment-aware routing, PXF orchestration, MCP-grade AI access + the apps + portal layers on top. Read more in how Rayven works.
What are the most common Greenplum integration use cases?
Top use cases are PXF + FDW CDC, reverse ETL to CRM + ERP, Claude querying Greenplum via MCP, Hadoop / S3 federation + MADlib real-time inference. See the automations above for specifics.
What are the technical specifics of Greenplum Database integration with Rayven?
Rayven uses Greenplum's REST API, PostgreSQL wire protocol, JDBC/ODBC drivers, Platform Extension Framework (PXF), gpfdist + foreign data wrappers for real-time bidirectional sync, authenticated via PostgreSQL standard auth, LDAP + Kerberos with per-segment credential handling. PXF + FDW drive sub-second CDC from operational OLTP + non-Greenplum analytical sources; gpfdist handles parallel bulk load when CDC isn't the right pattern. MPP-segment-aware query routing means operational reads route to segment-local plans while analytical workloads scatter-gather across all segments. Row-level security, role-based grants + PostgreSQL-compatible auth travel through every flow into CRM, ERP, AI agents + custom apps. PXF federation across Hadoop, S3 + JDBC sources joins in a single query plane. MADlib in-database ML outputs hand off to Rayven's automation layer for real-time inference. Claude + your AI agents query Greenplum through Rayven MCP. Validated against on-prem + Greenplum on Kubernetes + Greenplum Cloud + the Rayven Platform.
Greenplum + 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.