---
description: Learn more about Google Cloud price, benefits, and disadvantages for businesses in Ireland. Read verified software reviews and discover tools that fit your business needs.
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title: Google Cloud Pricing, Cost & Reviews - Capterra Ireland 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.ie/directory/31129/data-discovery/software)

## Related Categories

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

## Alternatives

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

## Reviews

### "Little bit complicated" — 4.0/5

> **Ian** | *12 November 2024* | Marketing & Advertising | Recommendation rating: 9.0/10
> 
> **Pros**: It's really fast and I can use it to analyze large datasets. The tools for analysis and visualization are also good.
> 
> **Cons**: Google Cloud is hard to use if you're not a technical expert. It's also expensive.
> 
> Google Cloud is a good platform for BI, but it's a bit complicated.

-----

### "Google Cloud Get Loud" — 5.0/5

> **Tyler** | *20 August 2026* | Computer Software | Recommendation rating: 8.0/10
> 
> **Pros**: It packs the A-grade quality people come to expect from Google. I liked that documentation for a new user was clear and extensive
> 
> **Cons**: Nothing to complain about though i felt the $300 credit offer was misleading in which aspects it could be used.
> 
> Its been more than useful and I definitely plan on continuing because i already have my project painstakingly wired in\!

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### "Great for data and ML work, billing takes a while to figure out" — 4.0/5

> **Dhruv** | *18 August 2026* | Computer & Network Security | Recommendation rating: 10.0/10
> 
> **Pros**: I mostly use GCP for data engineering and ML side projects and it's honestly the easiest of the big clouds for that. BigQuery is the main reason I stick with it .I can dump a few hundred GB of scraped data in and query it in seconds without setting up any infra. The Gemini API and Vertex AI plug straight into Cloud Storage and Cloud Run, so going from a notebook to a live endpoint doesn't take much.
> 
> **Cons**: Billing is the biggest pain point. Costs across projects and services are hard to trace, and I've been surprised by BigQuery scan costs and egress more than once. IAM is powerful but there are way too many predefined roles and figuring out least-privilege setups is mostly trial and error.
> 
> I've used GCP to ingest scraped and structured data into BigQuery and Cloud SQL (Postgres), run LLM workloads through the Gemini API, and deploy small services on Cloud Run.

-----

### "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.

-----

### "Good product, harder when your org lives in both Google and Microsoft" — 4.0/5

> **Blake** | *17 June 2026* | Retail | Recommendation rating: 8.0/10
> 
> **Pros**: On the education side of our organization, Google Workspace has been a natural fit. Students and staff are already familiar with Google Docs and Drive, so the adoption curve is basically nonexistent compared to standing up a Microsoft environment from scratch. Collaboration in real time on shared documents works smoothly and the storage management across users is easy to oversee from the admin console. For that use case it genuinely earns its place.
> 
> **Cons**: Where it starts to feel inconsistent is when you're trying to bridge the Google side with a Microsoft-heavy environment. Our main org runs on OneDrive and Microsoft 365, and keeping those two ecosystems from stepping on each other takes more active management than it should. File format compatibility between Google Docs and Word/Excel isn't always clean, and staff who float between both sides end up having to think about which version of a file lives where. It's a solvable problem but it adds friction that wouldn't exist if everything was on one platform.
> 
> Running Google Cloud alongside OneDrive is a bit of a juggling act, but for our situation it makes sense. The school side benefits from the Google ecosystem and the rest of the organization lives in Microsoft. Google Cloud itself is reliable and the pricing for education is hard to beat, it's really just the dual-platform overhead that creates headaches. If your whole org is already in one ecosystem this is a much cleaner experience, but managing both is workable with the right processes in place.

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## Links

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