---
description: Discover the benefits and disadvantages of Google Cloud.  Learn the software price, see the description, and read the most helpful reviews for UK business users. 
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title: Google Cloud Pricing, Cost & Reviews - Capterra UK 2026
---

Breadcrumb: [Home](/) > [Data Discovery Software](/directory/31129/data-discovery/software) > [Google Cloud](/software/170983/google-cloud-platform)

# Google Cloud

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> Cloud-based service that allows users to create anything from swebsites to complex applications for businesses of all sizes.
> 
> Verdict: Rated **4.7/5** by 2331 users. Top-rated for **Likelihood to recommend**.

-----

## Overview

### Who Uses Google Cloud?

Designed for developers, ITDMs, customers and businesses of all sizes.

## Quick Stats & Ratings

| Metric | Rating | Detail |
| **Overall** | **4.7/5** | 2331 Reviews |
| Ease of Use | 4.5/5 | Based on overall reviews |
| Customer Support | 4.3/5 | Based on overall reviews |
| Value for Money | 4.4/5 | Based on overall reviews |
| Features | 4.6/5 | Based on overall reviews |
| Recommendation percentage | 90% | (9/10 Likelihood to recommend) |

## About the vendor

- **Company**: Google

## Commercial Context

- **Pricing model**: Usage Based (Free version available) (Free Trial)
- **Pricing Details**: All customers get free hands-on experience with 20+ Google Cloud products including Compute Engine, Cloud Storage, and BigQuery free of charge, within specified monthly usage limits.&#10;&#10;When clients stay within the Free Tier limits, these resources are not charged against Free Trial credits or to the Cloud Billing account's payment method after the trial ends.&#10;&#10;Each product has its specific pricing and is usually charged per usage per month. Please refer to the specific product pricing page on Google cloud Website for more details.
- **Target Audience**: Self Employed, 2–10, 11–50, 51–200, 201–500, 501–1,000, 1,001–5,000, 5,001–10,000, 10,000+
- **Deployment & Platforms**: Cloud, SaaS, Web-based
- **Supported Languages**: Chinese, Dutch, English, French, German, Indonesian, Italian, Japanese, Korean, Portuguese, Spanish, Traditional Chinese, Turkish
- **Available Countries**: Afghanistan, Albania, Algeria, American Samoa, Andorra, Angola, Anguilla, Antigua & Barbuda, Argentina, Armenia, Aruba, Australia, Austria, Azerbaijan, Bahamas, Bahrain, Bangladesh, Barbados, Belarus, Belgium and 208 more

## Features

- API
- Activity Monitoring
- Alerts/Escalation
- Alerts/Notifications
- Anti Virus
- Authentication
- Backup and Recovery
- Business Process Automation
- Compliance Tracking
- Customisable Dashboard
- Dashboard
- Data Capture and Transfer
- Data Discovery
- Data Management
- Data Storage Management
- Data Synchronisation
- Data Visualisation
- Document Storage
- ETL - Extract Transfer Load
- Encryption
- Endpoint Management
- File Transfer
- Global Network
- High Volume Processing
- Integrated Development Environment
- Intrusion Detection System
- Load Balancing Tools
- ML Algorithm Library
- Model Training
- Multi-Device Support
- Multiple Data Sources
- Performance Analysis
- Performance Monitoring
- Project Management
- Real-Time Monitoring
- Remote Access/Control
- Risk Management
- Secure Data Storage
- Self Service Data Preparation
- Server Monitoring
- Status Tracking
- Task Management
- Third-Party Integrations
- Threat Intelligence
- Threat Response
- Virtual Machine Monitoring
- Virtual Server
- Virtualisation
- Visual Analytics
- Workflow Configuration

... and 56 more features

## Integrations (32 total)

- Gmail
- Google Docs
- Google Drive
- Google Workspace
- HubSpot CRM
- Jira
- Microsoft SharePoint
- Netskope Active Platform
- OneDrive
- OpsGenie
- Oracle Database
- PagerDuty
- SendGrid
- ServiceNow
- Shopify

... and 17 more integrations

## Support Options

- Email/Help Desk
- FAQs/Forum
- Knowledge Base
- Phone Support
- Chat

## Category

- [Data Discovery Software](https://www.capterra.co.uk/directory/31129/data-discovery/software)

## Related Categories

- [Data Discovery Software](https://www.capterra.co.uk/directory/31129/data-discovery/software)
- [Cloud Security Software](https://www.capterra.co.uk/directory/31344/cloud-security/software)
- [Disaster Recovery Software](https://www.capterra.co.uk/directory/30207/disaster-recovery/software)
- [Backup Software](https://www.capterra.co.uk/directory/31076/backup/software)
- [Business Intelligence Platform](https://www.capterra.co.uk/directory/23/business-intelligence/software)

## Alternatives

1. [Cove Data Protection](https://www.capterra.co.uk/software/163343/backup-and-recovery) — 4.6/5 (375 reviews)
2. [Oracle Cloud Infrastructure (OCI)](https://www.capterra.co.uk/software/203476/oracle-cloud-infrastructure) — 4.6/5 (21 reviews)
3. [HighQ](https://www.capterra.co.uk/software/156039/highq-dataroom) — 4.4/5 (79 reviews)
4. [Cohesity](https://www.capterra.co.uk/software/166007/cohesity) — 4.6/5 (54 reviews)
5. [Splunk Enterprise](https://www.capterra.co.uk/software/94317/splunk) — 4.6/5 (267 reviews)

## Reviews

### "First choice for AI and large data processing, as well as K8s workflows" — 3.0/5

> **connor** | *16 April 2026* | Media Production | Recommendation rating: 6.0/10
> 
> **Pros**: Espcially strong for compute, data, analytics and container native workloads. It has a known reputation for Kubernetes and managed services, which makes it attractive for teams building cloud native apps or platforms. It tends to excel with large scale data- processing and Ai workflows.
> 
> **Cons**: The biggest issue with GCP is that it often feels less familiar with AWS and Azure in enterprise environments, which isn't great considering that navigating either of those alone doesn't feel very intuitive. in an enterprise environment this can mean even fewer teams or administrators knowing the tooling and how to efficiently leverage it. The learning curve coming from a MS background is incredibly steep and the difficulties with mapping concepts between GCP and Microsoft on-prem means that it's difficult to have high level standardisations and cleanly integrated workflows.
> 
> It is overall a strong choice when performance with large data sets and/or K8s are the highest priority. It would be best suited to teams that are already cloud-native or familiar with containerised workflows and are comfortable building to those specifications. For more traditional environments, it can provide great functionality but is likely to be bottlenecked by the expertise of the administrators managing the platform.

-----

### "Reliable, scalable and cutting edge technologies which are easy to integrate" — 4.0/5

> **Verified Reviewer** | *29 December 2025* | Computer Software | Recommendation rating: 7.0/10
> 
> **Pros**: Reliability and quick to get up and running. Great uptime and highly configurable. We are using the Custom Search Engine and Google JSON Search API along with Gemini model inferencing.
> 
> **Cons**: Billing and configuration screens can be hard to find - navigation is confusing at the best of times.
> 
> Great service all round and an ever expanding array of new tools and offerings that are cutting edge \&amp; easy to setup \&amp; integrate with.

-----

### "Powerful but a bit pricey" — 5.0/5

> **Daniel** | *11 September 2026* | Computer Software | Recommendation rating: 9.0/10
> 
> **Pros**: What I like most is the way Google Cloud’s BigQuery handles petabyte‑scale data analysis with near‑real‑time queries. In our marketing analytics team, we load raw click‑stream logs into Cloud Storage, then run ad‑hoc queries in minutes, saving us hours of manual ETL. The integration with Data Studio is smooth, letting us build dashboards that refresh automatically. I also appreciate the generous free tier for Compute Engine, which lets us spin up test environments without touching the bill. The console’s navigation feels pretty solid, and the documentation for the new Vertex AI pipelines is clear enough to get started quickly. I love the scalability but the pricing model is confusing.
> 
> **Cons**: The biggest gripe is that the documentation for the newer AI‑model deployment options can be a bit scattered. I had to jump between the Vertex AI docs and the Kubernetes Engine API pages to figure out how to expose a model with an HTTP endpoint. It would help to have a single, consolidated guide. Also, the pricing calculator is a bit clunky; it takes a while to load the cost estimates, and the discount thresholds are hard to interpret. Finally, support response times can be slow when I hit a quota issue late at night.
> 
> I’ve been rolling my data pipelines on Google Cloud’s Dataflow for months, and the auto‑scaling really keeps my nightly ETL jobs smooth. The UI shows real‑time metrics, so I can spot bottlenecks instantly and tweak the worker count without touching code, which saves a ton of debugging time.

-----

### "Reliable and easy to use once you get familiar with it" — 5.0/5

> **Portia** | *5 May 2026* | Hospital & Health Care | Recommendation rating: 10.0/10
> 
> **Pros**: I like how reliable and secure it is. It’s easy to access my files from anywhere, and everything syncs smoothly. The interface is also quite user-friendly once you get used to it, and I appreciate how it integrates well with other Google services like Drive and Gmail.
> 
> **Cons**: At times it can feel a bit overwhelming, especially if you’re not very technical. Some features are not very straightforward, and pricing can be confusing depending on what you’re using. It took me a while to understand how everything works.
> 
> Overall, my experience has been positive. It’s a dependable platform that works well for storage and managing data, especially if you already use other Google tools. There is a bit of a learning curve at the beginning, but once you get familiar with it, it becomes much easier to use.

-----

### "A decent choice for businesses" — 5.0/5

> **Clara** | *26 July 2026* | Computer Networking | Recommendation rating: 10.0/10
> 
> **Pros**: Google Cloud's scalability and flexibility are pretty solid. We've been using it for about a year and a half now, and it's worked well enough for our needs. The integration with Google Drive is seamless, and the pricing model is fair.
> 
> **Cons**: Not a huge deal, but the documentation could be better. Sometimes it takes a bit to figure out what's going on, especially with the more advanced features. Also, the UI can be a bit cluttered at times.
> 
> I've had a solid overall experience with Google Cloud, using it regularly for various projects. It's been reliable and efficient, with a user-friendly interface that makes it easy to navigate and manage resources. However, I've encountered some occasional issues with scalability, which prevents me from giving it a full 5-star rating.

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## Links

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