SNOWFLAKE INTEGRATION · BUILT FOR EVERYTHING ELSE

Snowflake integration that reaches the systems other tools can't.

Connect Snowflake to your OT, IoT, apps + operational systems in real-time. Stream live operational data in as external and Iceberg tables, and make Snowflake data and AI actionable back in the operation.

Get my Snowflake integration plan → Talk to us

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

Live demo · Claude querying Snowflake + ops via Rayven MCP

What's the status of the OT, IoT + streaming → Snowflake (Snowpipe) flow today?

All flowing. Live operational data lands via Snowpipe is live. No blockers flagged.

OT, IoT + streamingSnowflake (Snowpipe)

Trusted by 240+ teams across Australia + globally

THE REALITY

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

Operational data reaches Snowflake through nightly loaders and staged files, real-time machine signals arrive too late for a live decision, and Snowpark models stay inside the warehouse instead of driving action in the field.

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 Snowflake, 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 streams need Snowpipe or external tables, not manual staged loads
ERP, MES and operational apps that hold the business context lake analytics need
Object storage and unstructured data Snowflake references but does not collect from the edge
Operational systems and agents that should consume Snowpark features and predictions live

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.

Snowflake + 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

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

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

OT, IoT + streaming → Snowflake (Snowpipe)

Live operational data lands via Snowpipe

Rayven streams SCADA, historian and sensor data into Snowflake through Snowpipe Streaming and external Iceberg tables, so machine data is query-able in real-time rather than after an overnight load.

Top 5 accounts trending toward churn?

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

SnowflakeOT, IoT + streamingProduct DB

ERP + operational apps → Snowflake

Business context joins the lake

Orders, assets and master data from ERP and operational apps flow into Snowflake, so analysts and Snowpark models see operational and business data together, not apart.

Which won deals are stuck pre-invoice?

3 stuck. 2 drafts in accounting, 1 awaiting PO. Auto-finalise?

SnowflakeERP + operational appsXero

Snowflake → Operations + AI agents

Snowpark + Cortex outputs act live

Features and predictions from Snowpark and Cortex push back to alerts, work orders and AI agents through Rayven MCP, so warehouse intelligence drives decisions in the operation.

Train churn model on last 18 months of pipeline.

Model ready. AUC 0.86, flags 4 at-risk accounts this week.

SnowflakeOperations + AI agents

Snowflake → Structured warehouse peers

Consistent with your structured warehouse

The lake-side Iceberg tables stay consistent with your structured Snowflake warehouse, so the same governed data serves both BI and ML.

Schedule fulfilment for this week's closed deals.

7 work orders created. 4 picked, 2 awaiting stock, 1 escalated.

SnowflakeStructured warehouse pWMS

Edge + files → Snowflake external tables

Files + edge data mapped to tables

CSV, JSON, Parquet and image files from edge sites map to Snowflake external tables automatically, so unstructured operational data is catalogued and query-able without manual staging.

Forecast accuracy by segment last quarter?

87% mid-market, 71% enterprise, 92% SMB. Variance attached.

SnowflakeEdge + files

BEYOND INTEGRATION

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

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

AI-ready data layer (AI Data Fabric)

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

Automation + AI agents

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

All on top of your existing stack. No rip + replace. Snowflake stays Snowflake. Rayven works on what you've already built. Specifically tuned for Snowpipe Streaming ingestion and Iceberg external tables over your object store.

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

SNOWFLAKE INTEGRATION · WHICH PATH

Pick the right tool for your stack.

Snowflake 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

Snowflake to other cloud apps

Yes

Best in class

Yes

DIY effort

Snowflake 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

Live operational data as Iceberg external tables

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.

ICEBERG + SNOWPIPE STREAMING NATIVE

Built for external tables + Iceberg on Snowflake.

Rayven lands real-time OT, IoT and app data into Snowflake via Snowpipe Streaming and Apache Iceberg external tables, using key-pair and OAuth auth. Sub-minute streaming ingestion replaces staged file loads, and Snowpark features 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 Snowflake 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 Snowflake data needs to live. Your residency, your rules, your local compliance environment.

FAQS

The questions Snowflake admins, RevOps + IT ask first.

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

The 30-minute call covers

Your Snowflake + 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 Snowflake data lake integration?

Snowflake data lake integration connects Snowflake's lakehouse layer - external tables, Iceberg and unstructured data - to the real-time operational systems that feed and consume it. Rayven lands OT, IoT and app data as query-able tables, and activates Snowflake data and AI back in operations. Rayven delivers this as an AI data fabric; it is not a lake or warehouse itself.

Does Rayven replace Snowflake?

No. Rayven does not replace Snowflake and is not a data lake or warehouse. Rayven is the real-time AI data fabric that sits alongside Snowflake, streaming operational data in via Snowpipe and external tables, and activating Snowflake data and AI in operations. Snowflake stays your platform; Rayven feeds and activates it.

How is this different from the Snowflake data warehouse page?

This page covers the lake and lakehouse angle - external tables, Apache Iceberg and unstructured data on schema-on-read. For the structured SQL warehouse angle, see the Snowflake data warehouse page on our Data Warehouse hub.

How does Rayven land real-time data in Snowflake?

Rayven uses Snowpipe Streaming and external Iceberg tables, fed from OT and IoT via OPC-UA, MQTT and CDC through the integration layer. It also connects databases, files and ERP, so live operational data lands sub-minute rather than as staged files.

How long does Snowflake integration take with Rayven?

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

What are the technical specifics of Snowflake data lake integration with Rayven?

Rayven connects to Snowflake through its REST and SQL APIs and JDBC/ODBC drivers, authenticating with key-pair or OAuth. Real-time operational data - OT, IoT, historian and app events - is ingested via OPC-UA, MQTT and CDC, then landed through Snowpipe Streaming and Apache Iceberg external tables so machine data is query-able sub-minute rather than as staged files. Table schemas, partitions and Iceberg metadata are respected, and role-based access, masking policies and governance are preserved end-to-end. Per-account API rate limits are managed through batching and back-pressure so ingestion never throttles interactive queries. Unstructured files map to external tables via stages. Snowpark and Cortex features and predictions push back into operations and AI agents via Rayven MCP. For the structured warehouse angle, see the Snowflake data warehouse page. Validated against Snowflake on AWS, Azure and GCP. Rayven complements Snowflake; it is not a lake or warehouse and does not replace it.

Sectors

Job Roles

Overview

Set Engagements

Overview

We Partner With

Library

Our Company

Snowflake integration that reaches the systems other tools can't.

Snowflake 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.

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

Live operational data lands via Snowpipe

Business context joins the lake

Snowpark + Cortex outputs act live

Consistent with your structured warehouse

Files + edge data mapped to tables

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 external tables + Iceberg on Snowflake.

We stay after go-live.

Hosted your way, where you need.

The questions Snowflake admins, RevOps + IT ask first.

The 30-minute call covers

What is Snowflake data lake integration?

Does Rayven replace Snowflake?

How is this different from the Snowflake data warehouse page?

How does Rayven land real-time data in Snowflake?

How long does Snowflake integration take with Rayven?

What are the technical specifics of Snowflake data lake integration with Rayven?

Snowflake + AI integration.
In weeks, not months.

Sectors

Job Roles

Overview

Set Engagements

Overview

We Partner With

Library

Our Company

Snowflake integration that reaches the systems other tools can't.

Snowflake 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.

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

Live operational data lands via Snowpipe

Business context joins the lake

Snowpark + Cortex outputs act live

Consistent with your structured warehouse

Files + edge data mapped to tables

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 external tables + Iceberg on Snowflake.

We stay after go-live.

Hosted your way, where you need.

The questions Snowflake admins, RevOps + IT ask first.

The 30-minute call covers

What is Snowflake data lake integration?

Does Rayven replace Snowflake?

How is this different from the Snowflake data warehouse page?

How does Rayven land real-time data in Snowflake?

How long does Snowflake integration take with Rayven?

What are the technical specifics of Snowflake data lake integration with Rayven?

Snowflake + 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.

Snowflake + AI integration.
In weeks, not months.