Google Cloud consultants

Q: Which Google Cloud services are most useful for small to mid-size businesses?

For most SMBs, the high-value services are BigQuery for analytics, Cloud Run for running containerised apps without managing servers, Cloud SQL for managed databases, and Document AI for processing invoices and forms. You don't need to use everything Google offers — starting with two or three services that solve real problems gives you the best return.

Q: Can Google Cloud services be connected to our other business tools?

Yes. Google Cloud has APIs for virtually every service, and tools like n8n can connect them to CRMs, accounting platforms, project management tools, and more. For example, you can set up a workflow that runs a BigQuery query on a schedule and pushes the results into a Slack channel or Google Sheet automatically.

Q: What does Google Cloud cost for a typical business?

Google Cloud uses pay-as-you-go pricing, so costs depend entirely on what you use. BigQuery charges about $8.50 per terabyte queried, Cloud Run bills by the second of compute time, and Cloud SQL starts around $10-15/month for small instances. Google also offers committed use discounts and a free tier for light usage. We help clients right-size their setup to avoid bill surprises.

Q: Is it possible to automate Google Cloud tasks without writing code?

Partly. Google Cloud Console lets you configure many things through a UI, but real automation — like scheduled queries, event-driven processing, or multi-step workflows — usually needs either Cloud Functions, Cloud Workflows, or an external automation tool like n8n. Using n8n means you can build these automations visually without writing Python or JavaScript.

We can help you automate your business with Google Cloud and hundreds of other systems to improve efficiency and productivity. Get in touch if you’d like to discuss implementing Google Cloud.

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About Google Cloud

Google Cloud is one of the three major cloud platforms, alongside AWS and Azure. It gives businesses access to compute, storage, databases, machine learning APIs, and data analytics tools — all running on the same infrastructure Google uses for Search, Gmail, and YouTube.

The problem most Australian businesses face with Google Cloud isn’t getting started — it’s knowing which services to actually use. With hundreds of products across compute (Compute Engine, Cloud Run, GKE), data (BigQuery, Cloud SQL, Firestore), and AI (Vertex AI, Document AI, Vision API), it’s easy to overspend on services you don’t need or miss the ones that would save you the most time.

Where Google Cloud really stands out is in data and AI. BigQuery can process terabytes of data in seconds without managing any infrastructure, and Vertex AI lets you deploy machine learning models without building everything from scratch. For businesses already using Google Workspace, the integration is straightforward.

We connect Google Cloud services into automated workflows using n8n, pulling data from BigQuery, triggering Cloud Functions, or feeding documents through Document AI — then routing the results into your CRM, accounting system, or reporting dashboards. If you’re looking to get more from Google Cloud without hiring a full platform team, our integration services can help you build something practical.

Google Cloud FAQs

Frequently Asked Questions

Common questions about how Google Cloud consultants can help with integration and implementation

Which Google Cloud services are most useful for small to mid-size businesses?

How does Google Cloud compare to AWS and Azure for Australian businesses?

Google Cloud’s strengths are in data analytics and machine learning. BigQuery is generally faster and cheaper for ad-hoc analytics than the equivalents on AWS or Azure. If your team already uses Google Workspace, the authentication and integration story is simpler. AWS has more services overall, and Azure tends to win in enterprises already committed to Microsoft. The best choice depends on what you’re actually building.

Can Google Cloud services be connected to our other business tools?

What does Google Cloud cost for a typical business?

Is it possible to automate Google Cloud tasks without writing code?

How do we move data from our existing systems into Google Cloud?

It depends on the data source. For databases, Google provides the Database Migration Service. For files, there’s Transfer Service or gsutil command-line tools. For ongoing sync from SaaS tools, we typically set up n8n workflows that pull data on a schedule and load it into BigQuery or Cloud Storage. The migration approach should match how you plan to use the data, not just copy everything across blindly.

How it works

We work hand-in-hand with you to implement Google Cloud

As Google Cloud consultants we work with you hand in hand build more efficient and effective operations. Here’s how we will work with you to automate your business and integrate Google Cloud with integrate and automate 800+ tools.

Step 1

Audit Your Current Cloud Usage

We review what you’re already running — whether that’s on-premises servers, another cloud provider, or a mix. We map out your data flows, compute needs, and existing integrations to understand where Google Cloud fits and where it doesn’t.

Step 2

Pick the Right Services

Rather than adopting Google Cloud wholesale, we identify the specific services that solve your actual problems. That might be BigQuery for reporting, Document AI for invoice processing, or Cloud Run for hosting an internal tool. We skip anything you won’t use.

Step 3

Design the Integration Architecture

We plan how Google Cloud connects to your existing systems — your CRM, accounting platform, data warehouse, or internal tools. This includes authentication, data flow direction, error handling, and how automations will be triggered using n8n or native Google Cloud tools.

Step 4

Build and Deploy

We set up the chosen Google Cloud services, configure IAM permissions properly, connect your data sources, and build the automation workflows. Everything is documented so your team can understand what’s running and why.

Step 5

Test with Real Data

We run the full setup with your actual data, not just sample records. This catches issues with data formats, API rate limits, edge cases in your workflows, and performance under realistic load. We fix problems before they become production incidents.

Step 6

Hand Over and Support

We walk your team through what’s been built, provide documentation, and make sure someone internally understands the setup. We’re available for ongoing support if you need changes, but the goal is a system you can maintain without depending on us permanently.

Transform your business with Google Cloud

Unlock hidden efficiencies, reduce errors, and position your business for scalable growth. Contact us to arrange a no-obligation Google Cloud consultation.

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