GOOGLE INTEGRATION · BUILT FOR EVERYTHING ELSE

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

Q: What systems can Rayven connect BigQuery to?

Rayven connects BigQuery to 600+ systems including [Salesforce](/solutions/data-integration-platform/crm-integration/salesforce-sales-cloud-integration), [HubSpot CRM](/solutions/data-integration-platform/crm-integration/hubspot-crm-integration), [NetSuite ERP](/solutions/data-integration-platform/erp-integrations/netsuite-erp-integration), [Xero](/solutions/data-integration-platform/accounting-software-integration/xero-accounting-integration), Pub/Sub, Dataflow, Kafka, Cloud Storage, Bigtable + Spanner - plus AI agents via [Rayven MCP](/solutions/custom-ai-solutions/rayven-mcp).

Connect Google BigQuery to every system + workflow it doesn't natively reach. Make your warehouse the operational core for live data, AI agents + apps.

240+

deployments live

600+

fast-track connectors

3 wks

average deploy

66%

faster than DIY

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 Operational systems → Google BigQuery flow today?

All flowing. Real-time CDC via Storage Write API is live. No blockers flagged.

Operational systemsGoogle BigQuery

Trusted by 240+ teams across Australia + globally

THE REALITY

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

BigQuery's slot model is brilliant for analytical bursts but operational apps need sub-second reads at predictable cost. Scheduled queries land data, then downstream systems poll. AI agents burn slots scanning yesterday's tables. Custom apps spin up a separate cache because slot contention spikes the moment product teams ship new queries.

The integration tool you've already tried probably can't fix it.

What Zapier + iPaaS reach

SaaS-to-SaaS. Useful, until it isn't.

Connectors for Google, Slack + a thousand other SaaS apps. Cheap + fast for the easy half of integration. Where they hit a wall:

CRM, ERP + ops systems reading BigQuery through scheduled query exports rather than live federation
Streaming ingest via the BigQuery Storage Write API directly from operational events
Federated queries across Cloud Storage, Bigtable + Spanner combined with Rayven's real-time streams
AI agents querying BigQuery live through MCP rather than waiting on a cached BI cube
Customer-facing apps backed by BigQuery result sets with slot-reservation-aware routing + RBAC

What Rayven reaches

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.

Google + 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

WHAT YOU CAN BUILD

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

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

Operational systems → Google BigQuery

Real-time CDC via Storage Write API

Change-data events from Salesforce, NetSuite ERP + custom OLTP write through the BigQuery Storage Write API into partitioned + clustered tables. Sub-second arrival, no Streaming Insert quota hits.

Which deal stage is the biggest forecast risk?

Negotiation stage. 42-day median dwell, 28% slip rate.

GoogleOperational systemsSnowflake

Google BigQuery → CRM, ERP + ops apps

Reverse ETL in real-time

Account scores, propensity models + BigQuery ML predictions push back to HubSpot CRM, Xero + custom ops apps the moment a scheduled query lands - slot-reservation-aware so analytics workloads don't starve.

Which won deals are stuck pre-invoice?

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

GoogleCRM, ERP + ops appsXero

Google BigQuery → Claude + AI agents

Claude queries BigQuery live via Rayven MCP

Claude + your AI agents query live BigQuery datasets through Rayven MCP. Authorized Views, column-level access + Data Catalog tag-based policies travel through the connection.

Train churn model on last 18 months of pipeline.

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

GoogleClaude + AI agentsSnowflake

Google BigQuery + federated sources → Federated fabric

BigQuery + Cloud Storage + Spanner in one query

Federated queries across Cloud Storage, Bigtable + Spanner join with Rayven's real-time event streams in a single pass. No staging hop, no separate data movement job.

Which deal stage is the biggest forecast risk?

Negotiation stage. 42-day median dwell, 28% slip rate.

GoogleFederated fabricSnowflake

Google BigQuery → Custom apps + portals

Customer-facing apps on BigQuery

Portals + embedded analytics on top of BigQuery via Rayven's app layer. Cached result sets, RBAC + per-tenant filters handled - on-demand vs slot-reservation routing chosen per query.

Forecast accuracy by segment last quarter?

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

GoogleCustom apps + portalsSnowflake

BigQuery ML → Real-time inference

ML pipeline + real-time scoring

BigQuery ML trains the model; Rayven streams predictions back into ops systems in real-time via the AI Data Fabric. No batched scoring run, no overnight refresh.

Train churn model on last 18 months of pipeline.

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

GoogleBigQuery MLReal-time inference

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 + structured so AI models, agents + tools can use it without ETL prep work.
Learn more →

Live AI access (Rayven MCP)

Claude, ChatGPT + Gemini get live, governed access to Google + 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 BigQuery slot-reservation-aware routing + Storage Write API streaming.

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 SaaS

Yes

Best in class

Yes

DIY effort

Google to OT / SCADA / IoT

Yes

Custom build

Months of work

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

BigQuery Storage Write API + slot-reservation routing

Built in

Insert-only, no slot awareness

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.

240+ DEPLOYMENTS

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.

SLOT + STORAGE WRITE NATIVE

Built for BigQuery's serverless + slot model.

Rayven uses the BigQuery Storage Write API for sub-second CDC into clustered + partitioned tables, with slot-reservation-aware routing so operational reads never wait on analytical bursts. Federated queries across Cloud Storage + Spanner + Bigtable join with Rayven streams in one pass.

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 BigQuery integration?

Google BigQuery integration is the practice of connecting BigQuery to the rest of your business stack - CRM, ERP, customer-facing apps + AI agents - so warehouse data is usable everywhere it matters. Rayven delivers BigQuery integration as part of an AI data fabric, not a one-way reverse ETL pipe.

How does Rayven connect BigQuery to other systems?

Rayven uses BigQuery's REST API, Storage Read + Write APIs, Streaming Insert API + JDBC/ODBC drivers for real-time bidirectional sync, authenticated via OAuth, service-account + Workload Identity. Federated queries across Cloud Storage, Bigtable + Spanner integrate as first-class events. See the Rayven Platform for the integration + data layers.

What systems can Rayven connect BigQuery to?

Rayven connects BigQuery to 600+ systems including Salesforce, HubSpot CRM, NetSuite ERP, Xero, Pub/Sub, Dataflow, Kafka, Cloud Storage, Bigtable + Spanner - plus AI agents via Rayven MCP.

How does Rayven handle BigQuery slot allocation?

Rayven's routing layer is slot-reservation-aware. Operational reads route to cached or on-demand queries; analytical workloads stay on reserved slots. BigQuery Storage Write API ingest sits in its own quota lane so streaming never starves analytical bursts. See the data layer for the model.

Does BigQuery have a native API? Why does Rayven add value on top?

Yes - BigQuery ships REST API, Storage Read + Write APIs + Streaming Insert. Rayven adds value because production sync needs more than a connector: slot-reservation-aware routing, federated query orchestration, MCP-grade AI access + the apps + portal layers on top. Read more in how Rayven works.

What are the most common BigQuery integration use cases?

Top use cases are CDC via Storage Write API, reverse ETL to CRM + ERP, Claude querying BigQuery via MCP, federated queries + customer-facing apps. See the automations above for specifics.

What are the technical specifics of Google BigQuery integration with Rayven?

Rayven uses Google BigQuery's REST API, Storage Read + Write APIs, Streaming Insert API + JDBC/ODBC drivers for real-time bidirectional sync, authenticated via OAuth, service-account + Workload Identity. Slot-reservation-aware query routing manages both on-demand + reservation pricing models so analytical bursts never starve operational reads. Partitioned + clustered tables, column-level access controls, Authorized Views + Data Catalog tag-based policies travel through every flow into CRM, accounting, AI agents + custom apps. Federated queries across Cloud Storage, Bigtable + Spanner join with Rayven's real-time event streams in a single pass. Claude + your AI agents query BigQuery live through Rayven MCP; BigQuery ML models hand outputs to Rayven's automation layer for real-time inference. Multi-cloud BigQuery Omni accounts federate via Rayven's customer-master layer. Validated against on-demand + slot-reservation + Omni deployments + the Rayven Platform.

Give AI agents all your data.

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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 needs to touch.

SaaS-to-SaaS. Useful, until it isn't.

Ops, apps, agents, BI + AI. One platform.

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

Real-time CDC via Storage Write API

Reverse ETL in real-time

Claude queries BigQuery live via Rayven MCP

BigQuery + Cloud Storage + Spanner in one query

Customer-facing apps on BigQuery

ML pipeline + real-time scoring

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 BigQuery's serverless + slot model.

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 BigQuery integration?

How does Rayven connect BigQuery to other systems?

What systems can Rayven connect BigQuery to?

How does Rayven handle BigQuery slot allocation?

Does BigQuery have a native API? Why does Rayven add value on top?

What are the most common BigQuery integration use cases?

What are the technical specifics of Google BigQuery 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.