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Compare Azure Virtual Machines and Google Compute Engine 
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At a Glance
Market Segments
Enterprise (34.5% of reviews)
Small-Business (36.5% of reviews)
Entry-Level Pricing
No pricing available
Pay As You Go Per Month
Azure Virtual Machines
Star Rating
(385)4.4 out of 5
Market Segments
Enterprise (34.5% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about Azure Virtual MachinesGoogle Compute Engine
Star Rating
(933)4.5 out of 5
Market Segments
Small-Business (36.5% of reviews)
Pros & Cons
Entry-Level Pricing
Pay As You Go Per Month
Free Trial is available
Browse all 2 pricing plansSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that Google Compute Engine excels in scalability, with a score of 9.0, allowing businesses to easily adjust resources based on demand. In contrast, Azure Virtual Machines scored 8.6, which some users feel limits their ability to scale efficiently during peak times.
- Reviewers mention that Google Compute Engine's resource auto-scaling feature is highly effective, scoring 9.0, which automates the adjustment of resources based on real-time usage. Azure Virtual Machines, while still strong at 8.9, has been noted by users as slightly less responsive in dynamic environments.
- G2 users highlight the superior cloud security of Azure Virtual Machines, which scored 9.3 compared to Google Compute Engine's 9.1. Reviewers appreciate Azure's robust security features, including advanced threat protection and compliance certifications.
- Users on G2 indicate that Google Compute Engine's cloud cost analytics, scoring 8.4, could be improved, as some find it less intuitive than Azure's offering, which scored 9.0. Reviewers mention that Azure provides clearer insights into usage and cost management.
- Reviewers say that Google Compute Engine's performance management features, with a score of 8.7, are effective but not as comprehensive as Azure's 8.8. Users appreciate Azure's detailed performance tracking tools that help optimize workloads more efficiently.
- Users report that Azure Virtual Machines shines in hybrid cloud capabilities, scoring 8.9, which is higher than Google Compute Engine's 8.5. Reviewers mention that Azure's seamless integration between on-premises and cloud environments is a significant advantage for enterprises looking for flexibility.
Pricing
Entry-Level Pricing
Azure Virtual Machines
No pricing availableGoogle Compute Engine
Beyond Free Tier and Free Trial
Pay As You Go
Per Month
Pricing for Compute Engine is based on per-second usage of the machine types, persistent disks, and other resources that you select for your virtual machines.
- Compute Engine charges for usage based on the following price sheet: https://cloud.google.com/compute/all-pricing
Free Trial
Azure Virtual Machines
No trial information availableGoogle Compute Engine
Free Trial is available
Ratings
Meets Requirements
9.0
332
9.0
496
Ease of Use
8.6
332
8.6
498
Ease of Setup
8.6
198
8.6
321
Ease of Admin
8.6
190
8.5
209
Quality of Support
8.3
320
8.4
458
Has the product been a good partner in doing business?
8.9
182
8.8
201
Product Direction (% positive)
9.2
320
9.4
474
Features by Category
Functionality
Not enough data
8.8
136
Not enough data
8.7
134
Not enough data
8.8
134
Management
Not enough data
8.3
135
Not enough data
8.9
135
Not enough data
8.7
133
Not enough data
8.9
135
Agentic AI - Cloud Management Platforms
Not enough data
8.0
14
Not enough data
8.8
14
Not enough data
8.6
14
Infrastructure Provision
9.0
60
8.7
176
8.6
55
8.4
174
9.0
52
8.5
167
7.2
48
7.8
159
8.3
53
8.6
166
9.3
58
9.2
177
8.5
48
8.3
162
9.1
56
8.7
174
Management
8.9
55
8.6
176
8.9
53
8.6
171
8.7
54
8.5
176
Functionality
8.8
53
8.9
173
Performance
8.4
25
9.0
112
8.3
25
8.6
111
9.0
26
8.5
109
Functionality
8.9
29
8.7
109
8.5
28
8.6
108
8.7
28
8.6
107
9.3
29
9.1
111
Agentic AI - Server Virtualization
Not enough data
8.3
15
Not enough data
8.4
15
Not enough data
8.9
15
Not enough data
8.7
15
Not enough data
8.1
15
Not enough data
8.8
15
Automated resource scaling
Not enough data
8.6
118
Not enough data
8.9
116
Scaling strategies
Not enough data
8.3
119
Not enough data
8.4
118
Visualization
Not enough data
8.3
118
Not enough data
8.4
118
Categories
Categories
Shared Categories
Azure Virtual Machines and Google Compute Engine are categorized as Infrastructure as a Service (IaaS) and Server Virtualization
Unique Categories
Azure Virtual Machines has no unique categories
Google Compute Engine is categorized as Cloud Management Platforms and Auto Scaling
Reviews
Reviewers' Company Size
Azure Virtual Machines
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Google Compute Engine
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Small-Business
(50 or fewer emp.)
Mid-Market
(51-1000 emp.)
Enterprise
(> 1000 emp.)
Reviewers' Industry
Information Technology and Services
29.8%
Computer Software
18.2%
Computer & Network Security
7.3%
Accounting
4.3%
Information Services
2.4%
Other
37.9%
Information Technology and Services
20.4%
Computer Software
18.9%
Financial Services
6.5%
Computer & Network Security
4.2%
Marketing and Advertising
3.3%
Other
46.7%
Alternatives
Discussions
What are Azure virtual machines used for?
2 Comments
RL
Some use cases:
Application Hosting, Development and Testing, Data Processing and Analytics, Disaster Recovery, High-Performance Computing (HPC), Hybrid...Read more
What does Google Compute Engine do?
4 Comments
IC
You can deploy a VM instance within minutes via the Google Compute Engine, connect to your instance via SSH, and monitor metrics like CPU, Network, Memory...Read more
What is Google Compute Engine used for?
2 Comments
MR
Google Compute Engine (GCE) is a component of Google Cloud Platform (GCP) that provides virtual machines (VMs) running in Google's data centers. It is an...Read more
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