Google Compute Engine
Reviews
Star rating
Rank in Auto Scaling
Pros and cons
Pros
- Ease of Use
- Scalability
- Virtual Machines
- Features
- Google Cloud Platform
- Flexibility
Cons
- Pricing Issues
- Expensive
- Cost Management
- Complexity
- Complex Pricing
- Learning Difficulty
Traffic & LLM citations
Source: G2 review data
Winning from
Losing to
Key stats
Adoption by company size
| Segment | Share of reviews |
|---|---|
| Small Business | 34.7% |
| Mid-Market | 31.1% |
| Enterprise | 34.2% |
Quarterly history
| Quarter | Reviews | Star rating |
|---|---|---|
| 2024 Q4 | 37 | 4.3 |
| 2025 Q1 | 31 | 4.5 |
| 2025 Q2 | 20 | 4.6 |
| 2025 Q3 | 42 | 4.5 |
| 2025 Q4 | 6 | 4.5 |
| 2026 Q1 | 16 | 4.3 |
| 2026 Q2 | 4 | 4.3 |
| 2026 Q3 | 1 | 4.0 |
Satisfaction ratings
What reviewers say
Easy Setup, Flexible Instances, and Great Value on Google Compute Engine
“Google Compute Engine is a good option for anyone who needs a virtual computer system to run a wide range of computing applications and projects. I especially like the broad selection of instances to choose from, as well as how easy it is to set up and manage using both the GUI a”
Streamlined AI Training with Google Compute Engine, But Needs Longer Sessions
“I like the integration of Gemini with Google Compute Engine, as it allows me to create a markdown file on my server, download it with the training data, and let Gemini handle the scripting. This integration makes my tasks a lot easier and faster. I'm also looking forward to tryin”
Effortless Setup and Scalability with Google Compute Engine
“I like Google Compute Engine for how easy it is to set up, especially compared to AWS. It offers a learning curve that feels simpler for beginners. I also appreciate the easy native integrations to other resources like load balancers. Additionally, I find its scalability impressi”