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Compare Azure Virtual Machine Scale Sets and Google Compute Engine 
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At a Glance
Market Segments
Enterprise (44.4% of reviews)
Small-Business (36.5% of reviews)
Entry-Level Pricing
No pricing available
Pay As You Go Per Month
Azure Virtual Machine Scale Sets
Star Rating
(30)4.5 out of 5
Market Segments
Enterprise (44.4% of reviews)
Entry-Level Pricing
No pricing available
Learn more about Azure Virtual Machine Scale SetsGoogle Compute Engine
Star Rating
(932)4.5 out of 5
Market Segments
Small-Business (36.5% of reviews)
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 its "Virtual Machines (VMs)" functionality, scoring a 9.3, which reviewers mention provides a robust and flexible environment for running applications, while Azure Virtual Machine Scale Sets also performs well but with a slightly lower score of 8.8 in this area.
- Reviewers mention that Azure Virtual Machine Scale Sets shines in "Resource Auto-Scaling," achieving a score of 9.0, which users say allows for seamless scaling of applications based on demand, whereas Google Compute Engine's score in this category is also strong at 9.0, but lacks some of the advanced predictive scaling features that Azure offers.
- G2 users highlight that Google Compute Engine's "Cloud Security" features are rated at 9.1, with reviewers noting its strong compliance and security measures, while Azure Virtual Machine Scale Sets also scores well at 9.1, but users report that Azure's security management tools are more user-friendly and easier to navigate.
- Users on G2 report that Azure Virtual Machine Scale Sets has a superior "Ease of Setup" rating of 9.0, with reviewers mentioning that the onboarding process is straightforward and well-documented, compared to Google Compute Engine's score of 8.7, which some users find slightly more complex.
- Reviewers mention that Google Compute Engine's "Cloud Cost Analytics" feature, scoring 8.4, is less intuitive than Azure's offerings, which users say provide clearer insights into usage and cost management, reflected in Azure's higher score in this area.
- Users say that both platforms offer strong "Performance Management" capabilities, but Azure Virtual Machine Scale Sets, with a score of 9.0, is noted for its advanced monitoring tools that help users optimize performance, while Google Compute Engine's score of 8.7 indicates room for improvement in this aspect.
Pricing
Entry-Level Pricing
Azure Virtual Machine Scale Sets
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 Machine Scale Sets
No trial information availableGoogle Compute Engine
Free Trial is available
Ratings
Meets Requirements
9.3
23
9.0
494
Ease of Use
8.8
23
8.6
496
Ease of Setup
9.4
9
8.6
319
Ease of Admin
10.0
7
8.5
209
Quality of Support
8.9
19
8.4
456
Has the product been a good partner in doing business?
9.5
7
8.8
201
Product Direction (% positive)
8.3
21
9.4
472
Features by Category
Functionality
Not enough data
8.8
135
Not enough data
8.7
133
Not enough data
8.8
133
Management
Not enough data
8.3
134
Not enough data
8.9
134
Not enough data
8.7
132
Not enough data
8.9
134
Agentic AI - Cloud Management Platforms
Not enough data
8.1
13
Not enough data
8.8
13
Not enough data
8.7
13
Infrastructure Provision
Not enough data
8.7
175
Not enough data
8.4
173
Not enough data
8.5
166
Not enough data
7.9
158
Not enough data
8.6
165
Not enough data
9.2
176
Not enough data
8.3
161
Not enough data
8.7
173
Management
Not enough data
8.6
175
Not enough data
8.6
170
Not enough data
8.5
175
Functionality
Not enough data
8.9
172
Performance
Not enough data
9.0
111
Not enough data
8.6
110
Not enough data
8.5
108
Functionality
Not enough data
8.7
108
Not enough data
8.6
107
Not enough data
8.6
106
Not enough data
9.1
110
Agentic AI - Server Virtualization
Not enough data
8.5
14
Not enough data
8.6
14
Not enough data
8.9
14
Not enough data
8.8
14
Not enough data
8.2
14
Not enough data
8.9
14
Automated resource scaling
Not enough data
8.6
116
Not enough data
8.9
114
Scaling strategies
Not enough data
8.4
117
Not enough data
8.4
116
Visualization
Not enough data
8.3
116
Not enough data
8.3
116
Categories
Categories
Shared Categories
Azure Virtual Machine Scale Sets and Google Compute Engine are categorized as Infrastructure as a Service (IaaS) and Server Virtualization
Unique Categories
Azure Virtual Machine Scale Sets has no unique categories
Google Compute Engine is categorized as Cloud Management Platforms and Auto Scaling
Reviews
Reviewers' Company Size
Azure Virtual Machine Scale Sets
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
18.5%
Computer Software
11.1%
Accounting
11.1%
Investment Banking
7.4%
Hospital & Health Care
7.4%
Other
44.4%
Information Technology and Services
20.3%
Computer Software
18.9%
Financial Services
6.6%
Computer & Network Security
4.2%
Marketing and Advertising
3.3%
Other
46.8%
Alternatives
Discussions
Azure Virtual Machine Scale Sets has no discussions with answers
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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