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Compare Google Compute Engine and IBM Cloud Pak for AIOps 
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At a Glance
Market Segments
Small-Business (36.4% of reviews)
Enterprise (39.3% of reviews)
Entry-Level Pricing
Pay As You Go Per Month
No pricing available
Google Compute Engine
Star Rating
(933)4.5 out of 5
Market Segments
Small-Business (36.4% of reviews)
Pros & Cons
Entry-Level Pricing
Pay As You Go Per Month
Free Trial is available
Browse all 2 pricing plansIBM Cloud Pak for AIOps
Star Rating
(63)4.2 out of 5
Market Segments
Enterprise (39.3% of reviews)
Pros & Cons
Not enough data
Entry-Level Pricing
No pricing available
Learn more about IBM Cloud Pak for AIOpsSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that Google Compute Engine excels in "Resource Auto-Scaling" with a score of 9.0, allowing for seamless adjustments to resource allocation based on demand, while IBM Cloud Pak for AIOps scores slightly lower, indicating it may not be as responsive in dynamic environments.
- Reviewers mention that Google Compute Engine's "Cloud Optimization" feature, rated at 8.9, provides robust tools for maximizing resource efficiency, whereas IBM Cloud Pak for AIOps, while strong in enterprise settings, has a lower focus on optimization, scoring 7.3 in product direction.
- G2 users highlight the superior "Ease of Use" of Google Compute Engine, rated at 8.7, which simplifies the onboarding process for new users, compared to IBM Cloud Pak for AIOps, which received a score of 8.0, suggesting a steeper learning curve for its more complex features.
- Reviewers say that Google Compute Engine's "Cloud Security" features, rated at 9.1, are highly regarded for their effectiveness in protecting data, while IBM Cloud Pak for AIOps, with a score of 8.4, may not offer the same level of confidence in security measures.
- Users on G2 report that Google Compute Engine's "Performance Management" capabilities, scoring 8.7, provide comprehensive monitoring tools that are user-friendly, while IBM Cloud Pak for AIOps, with a score of 7.9, may lack some of the intuitive features that enhance user experience.
- Users say that Google Compute Engine's "Public Cloud" functionality, rated at 8.8, is particularly strong for small businesses, while IBM Cloud Pak for AIOps, which is more tailored for enterprise solutions, may not cater as effectively to smaller market segments.
Pricing
Entry-Level Pricing
Google 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
IBM Cloud Pak for AIOps
No pricing availableFree Trial
Google Compute Engine
Free Trial is available
IBM Cloud Pak for AIOps
No trial information availableRatings
Meets Requirements
9.0
497
8.8
32
Ease of Use
8.7
499
8.0
32
Ease of Setup
8.6
322
7.9
20
Ease of Admin
8.5
209
7.9
19
Quality of Support
8.4
459
8.4
31
Has the product been a good partner in doing business?
8.8
201
8.8
20
Product Direction (% positive)
9.4
475
7.3
26
Features by Category
Functionality
8.8
136
Not enough data
8.7
134
Not enough data
8.8
134
Not enough data
Management
8.3
135
Not enough data
8.9
135
Not enough data
8.7
133
7.7
5
8.9
135
8.7
5
Agentic AI - Cloud Management Platforms
8.0
14
Not enough data
8.8
14
Not enough data
8.6
14
Not enough data
Infrastructure Provision
8.7
176
Not enough data
8.4
174
Not enough data
8.5
167
Not enough data
7.8
159
Not enough data
8.6
166
Not enough data
9.2
177
Not enough data
8.3
162
Not enough data
8.7
174
Not enough data
Management
8.6
176
Not enough data
8.6
171
Not enough data
8.5
176
Not enough data
Functionality
8.9
173
Not enough data
Application Performance Monitoring (APM)Hide 19 FeaturesShow 19 Features
Not enough data
Not enough data
Monitoring
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Response
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Agentic AI - Application Performance Monitoring (APM)
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Performance
Not enough data
Not enough data
Not enough data
Not enough data
Functionality
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Performance
9.0
112
Not enough data
8.6
111
Not enough data
8.5
109
Not enough data
Functionality
8.7
109
Not enough data
8.6
108
Not enough data
8.6
107
Not enough data
9.1
111
Not enough data
Agentic AI - Server Virtualization
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
Not enough data
Automated resource scaling
8.6
118
Not enough data
8.9
117
Not enough data
Scaling strategies
8.3
119
Not enough data
8.4
118
Not enough data
Visualization
8.3
118
Not enough data
8.4
118
Not enough data
Management
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Organization
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Development
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Categories
Categories
Shared Categories
Google Compute Engine and IBM Cloud Pak for AIOps are categorized as Cloud Management Platforms
Unique Categories
Google Compute Engine is categorized as Server Virtualization, Infrastructure as a Service (IaaS), and Auto Scaling
IBM Cloud Pak for AIOps is categorized as Other IT Management, Application Performance Monitoring (APM), and Container Management
Reviews
Reviewers' Company Size
Google Compute Engine
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
IBM Cloud Pak for AIOps
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
20.3%
Computer Software
18.9%
Financial Services
6.5%
Computer & Network Security
4.2%
Marketing and Advertising
3.3%
Other
46.7%
Information Technology and Services
14.3%
Computer Software
14.3%
Telecommunications
10.7%
Management Consulting
8.9%
Banking
5.4%
Other
46.4%
Alternatives
Discussions
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
IBM Cloud Pak for AIOps has no discussions with answers
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