Teradata integration that reaches the systems other tools can't.
Connect Teradata VantageCloud Lake to your OT, IoT, apps + operational systems in real-time. Stream live data into object-store-native tables, and make lake data and AI actionable back in the operation.
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Live demo · Claude querying Teradata + ops via Rayven MCP
Trusted by 240+ teams across Australia + globally
Teradata is brilliant at what it does. Useless at everything else your data + AI needs to touch.
Operational data reaches VantageCloud Lake through scheduled loads, real-time machine data lands late, and the in-database analytics VantageCloud is built for run on data that is already hours behind the operation.
The integration tool you've already tried probably can't fix it.
App-to-app. Useful, until it isn't.
Connectors for Teradata, 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 the Native Object Store, not a nightly load
- ERP, MES and operational apps that hold the business context in-database analytics need
- Edge and plant sites streaming telemetry into object storage over intermittent links
- ClearScape Analytics and downstream compute that need complete, current operational data
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.
- Teradata + 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
Teradata + Rayven: AI, automation + tools that reach every system you run.
5 examples of what Rayven customers run on Teradata + integrated systems. Built in weeks, not months.
Real-time data lands in the Native Object Store
Rayven streams SCADA, historian and sensor data into VantageCloud Lake's Native Object Store as open-format tables, via OPC-UA, MQTT and CDC. Machine data is query-able in real-time, not after a scheduled load.
Business context joins the lake
Orders, assets and master data from ERP and MES flow into VantageCloud Lake, so ClearScape Analytics reads machine data with its business context, not stripped of it.
ClearScape Analytics acts live
Predictions from ClearScape Analytics on the lake push back to alerts, work orders and AI agents via Rayven MCP, so in-database intelligence drives a live decision in the operation.
Edge telemetry streams to the lake
Remote plants and sites buffer and stream telemetry into the object storage behind VantageCloud Lake, so no operational event is lost before it reaches the analytics on top.
Downstream compute stays current
Separate elastic compute and BI read the same landed tables consistently, so every workload sees current operational data alongside the data warehouse.
Integration is the start with Rayven.
Here's what comes with it.
Rayven isn't just a Teradata connector. It's the operational software platform underneath - so once Teradata is connected, four more capabilities come online by default.
AI-ready data layer (AI Data Fabric)
Teradata data joined with ERP, IoT + legacy - contextualised, unified and structured so AI models, agents and 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 Teradata and every other connected system. Your AI stops guessing - cites real Teradata records + numbers.
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Automation + AI agents
Workflows + AI agents act on Teradata 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 Teradata data. No separate BI tool, no separate dev stack.
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All on top of your existing stack. No rip + replace. Teradata stays Teradata. Rayven works on what you've already built. Specifically tuned for real-time OT ingestion into VantageCloud Lake's Native Object Store.
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.
Teradata 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 VantageCloud's Native Object Store.
Rayven streams OT, IoT and app data into VantageCloud Lake's Native Object Store via REST APIs and JDBC, in open table formats. Real-time ingestion for separate elastic compute replaces nightly loads, and ClearScape Analytics predictions sync back to operations and AI agents.
We stay after go-live.
No handoff. No disappearing. Rayven is a long-term partner when your Teradata 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 Teradata data needs to live. Your residency, your rules, your local compliance environment.
The questions Teradata admins, RevOps + IT ask first.
If you're evaluating Rayven for Teradata integration, these are the things worth knowing before booking a call.
The 30-minute call covers
- Your Teradata + 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 Teradata VantageCloud Lake integration?
Teradata VantageCloud Lake integration connects the lake to the real-time operational systems that feed it - OT, IoT, ERP and edge sources - so live data lands in the Native Object Store and lake 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 Teradata VantageCloud Lake?
No. Rayven does not replace VantageCloud Lake and is not a data lake. Rayven is the real-time AI data fabric that sits alongside it - streaming operational data into the Native Object Store, and activating lake data and AI in operations. Teradata stays your lake; Rayven feeds and activates it.
How is this different from the Teradata Vantage page?
This page covers the object-store-native lake - the Native Object Store and open table formats for schema-on-read data. For the structured warehouse angle, see Teradata Vantage on our Data Warehouse hub.
How does Rayven land real-time data in VantageCloud Lake?
Rayven writes to the Native Object Store in open table formats through REST APIs and JDBC, fed from OT and IoT via OPC-UA, MQTT and CDC through the integration layer. It also connects databases, ERP and files, so operational data is query-able in real-time.
How long does Teradata VantageCloud Lake integration take with Rayven?
Most integrations go live in 2-12 weeks. A single OT-to-lake stream runs in 2-3 weeks; a full fabric that lands operational data and activates lake AI runs 6-12 weeks. Choose DIY, done-for-you or hybrid delivery.
What are the technical specifics of Teradata VantageCloud Lake integration with Rayven?
Rayven connects through VantageCloud Lake's REST APIs and JDBC/ODBC, authenticating with tokens or LDAP. Real-time operational data - OT, IoT, historian and app events - is ingested via OPC-UA, MQTT and CDC, then landed in the Native Object Store in open table formats such as Iceberg so ClearScape Analytics and separate elastic compute can query it immediately rather than after a nightly load. Table schemas, partitions and object layout are respected, and access controls are preserved end-to-end. QueryGrid federates external sources, and ingest volume is managed through batching and back-pressure so bursts never throttle compute. ERP, databases and files land through the same fabric, and ClearScape Analytics predictions push back into operations and AI agents via Rayven MCP. For the structured warehouse angle, see Teradata Vantage. Validated against VantageCloud Lake on AWS, Azure and Google Cloud, and VantageCore on-premise. Rayven complements VantageCloud Lake; it is not a data lake and does not replace it.
Teradata + 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.