GOOGLE INTEGRATION · BUILT FOR EVERYTHING ELSE

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

Connect Google Cloud BigLake to your OT, IoT, apps + operational systems in real-time. Stream live data into your GCS lake, and make unified lake and warehouse data actionable back in the operation.

Get my Google integration plan → Talk to us

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

Live demo · Claude querying Google + ops via Rayven MCP

What's the status of the OT, IoT + Pub/Sub → BigLake + GCS flow today?

All flowing. Operational data lands as BigLake tables is live. No blockers flagged.

OT, IoT + Pub/SubBigLake + GCS

Trusted by 240+ teams across Australia + globally

THE REALITY

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

Operational data reaches BigLake through scheduled loads and hand-built pipelines, real-time machine data arrives late, and Vertex AI models train on data missing the live operational picture.

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 Google, 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 Pub/Sub or Storage ingestion, not batch loads
ERP, MES and operational apps outside Google Cloud holding the business context
Edge and remote sites streaming telemetry into Cloud Storage over intermittent links
BigQuery and Vertex AI workloads that need complete, current operational data

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.

Google + 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

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

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

OT, IoT + Pub/Sub → BigLake + GCS

Operational data lands as BigLake tables

Rayven streams SCADA, historian and sensor data into Cloud Storage as BigLake tables via OPC-UA, MQTT and CDC, feeding Pub/Sub for sub-minute delivery. Machine data is query-able across BigQuery in real-time, not after a scheduled load.

Top 5 accounts trending toward churn?

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

GoogleOT, IoT + Pub/SubBigLake + GCS

ERP + operational apps → BigLake

Business context joins the lake

Orders, assets and master data from ERP and apps outside Google Cloud flow into BigLake, so BigQuery and Vertex AI see machine data with its business context intact.

Which won deals are stuck pre-invoice?

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

GoogleERP + operational appsBigLake

BigLake → Operations + AI agents

Vertex AI predictions act live

Predictions from Vertex AI models on BigLake push back to alerts, work orders and AI agents via Rayven MCP, so lake intelligence drives a live decision in the operation.

Status check - is everything in sync?

All current. Last sync 38 seconds ago, no backlog.

GoogleBigLakeOperations + AI agents

Edge sites → Cloud Storage

Edge telemetry streams to the lake

Remote plants and sites buffer and stream telemetry into Cloud Storage over intermittent links, so no operational event is dropped before it reaches BigLake and the models on top.

Anything that needs my attention right now?

3 items. 1 deal stuck, 1 account flagged, 1 task overdue.

GoogleEdge sitesCloud Storage

BigLake → BigQuery + BI

Unified data serves downstream

The same governed BigLake tables serve BigQuery, BI and the data warehouse, so lake and warehouse consumers read one current copy of operational data.

Forecast accuracy by segment last quarter?

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

GoogleBigLakeBigQuery + BI

BEYOND INTEGRATION

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

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

AI-ready data layer (AI Data Fabric)

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

Automation + AI agents

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

All on top of your existing stack. No rip + replace. Google stays Google. Rayven works on what you've already built. Specifically tuned for Pub/Sub streaming into BigLake tables with IAM column-level governance preserved.

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

GOOGLE INTEGRATION · WHICH PATH

Pick the right tool for your stack.

Google 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

Google to other cloud apps

Yes

Best in class

Yes

DIY effort

Google 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

Streaming operational data into BigLake over GCS

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.

BIGLAKE + GCS STREAMING NATIVE

Built for BigLake tables over Cloud Storage.

Rayven streams OT, IoT and app data into Cloud Storage as BigLake tables through the BigLake and BigQuery Storage REST APIs, with IAM governance preserved. Pub/Sub streaming ingestion lands machine data in real-time, and Vertex AI predictions 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 Google 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 Google data needs to live. Your residency, your rules, your local compliance environment.

FAQS

The questions Google admins, RevOps + IT ask first.

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

The 30-minute call covers

Your Google + 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 Google Cloud BigLake integration?

Google Cloud BigLake integration connects BigLake to the real-time operational systems that feed and consume it - OT, IoT, ERP and edge sources - so live data lands as BigLake tables 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 Google Cloud BigLake?

No. Rayven does not replace BigLake and is not a data lake. Rayven is the real-time AI data fabric that sits alongside BigLake - streaming operational data into Cloud Storage, and activating lake data and AI in operations. BigLake stays your unified lake layer; Rayven feeds and activates it.

How does Rayven land real-time data in BigLake?

Rayven ingests OT and IoT via OPC-UA, MQTT and CDC through the integration layer, streams it into Cloud Storage via Pub/Sub, and exposes it as BigLake tables. It also connects databases, ERP and files, so operational data is query-able across BigQuery sub-minute.

Can Rayven connect BigLake to non-Google operational data?

Yes. Rayven lands operational data from outside Google Cloud - on-premise OT, ERP and edge sources - into Cloud Storage as BigLake tables, governed by IAM and column-level policies. Sovereign, edge and hybrid deployment is supported. See the Rayven Platform.

How long does Google Cloud BigLake integration take with Rayven?

Most BigLake integrations go live in 2-12 weeks. A single OT-to-BigLake 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 Google Cloud BigLake integration with Rayven?

Rayven connects through the BigLake and BigQuery Storage REST APIs, authenticating with IAM service accounts and column-level access policies. Real-time operational data - OT, IoT, historian and app events - is ingested via OPC-UA, MQTT and CDC, then streamed into Cloud Storage through Pub/Sub and exposed as BigLake tables in Parquet, Iceberg or ORC, so machine data is query-able across BigQuery sub-minute rather than after a scheduled load. Table schemas and partitions are respected, and IAM plus fine-grained governance is preserved end-to-end. The BigQuery Storage API drives high-throughput reads, and streaming volume is managed through batching and back-pressure so ingestion never throttles. Non-Google sources - on-premise ERP, databases and files - land through the same fabric. Vertex AI predictions push back into operations and AI agents via Rayven MCP, and unified tables serve the data warehouse downstream. Validated against BigLake over Cloud Storage and BigQuery. Rayven complements BigLake; it is not a data lake and does not replace it.

Sectors

Job Roles

Overview

Set Engagements

Overview

We Partner With

Library

Our Company

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

Google 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.

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

Operational data lands as BigLake tables

Business context joins the lake

Vertex AI predictions act live

Edge telemetry streams to the lake

Unified data serves downstream

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 BigLake tables over Cloud Storage.

We stay after go-live.

Hosted your way, where you need.

The questions Google admins, RevOps + IT ask first.

The 30-minute call covers

What is Google Cloud BigLake integration?

Does Rayven replace Google Cloud BigLake?

How does Rayven land real-time data in BigLake?

Can Rayven connect BigLake to non-Google operational data?

How long does Google Cloud BigLake integration take with Rayven?

What are the technical specifics of Google Cloud BigLake integration with Rayven?

Google + AI integration.
In weeks, not months.

Sectors

Job Roles

Overview

Set Engagements

Overview

We Partner With

Library

Our Company

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

Google 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.

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

Operational data lands as BigLake tables

Business context joins the lake

Vertex AI predictions act live

Edge telemetry streams to the lake

Unified data serves downstream

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 BigLake tables over Cloud Storage.

We stay after go-live.

Hosted your way, where you need.

The questions Google admins, RevOps + IT ask first.

The 30-minute call covers

What is Google Cloud BigLake integration?

Does Rayven replace Google Cloud BigLake?

How does Rayven land real-time data in BigLake?

Can Rayven connect BigLake to non-Google operational data?

How long does Google Cloud BigLake integration take with Rayven?

What are the technical specifics of Google Cloud BigLake integration with Rayven?

Google + 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.

Google + AI integration.
In weeks, not months.