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Compare IBM Cloud Pak for AIOps and IBM Turbonomic 
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At a Glance
Market Segments
Enterprise (39.3% of reviews)
Enterprise (45.9% of reviews)
Entry-Level Pricing
No pricing available
Free Trial
IBM 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 AIOpsIBM Turbonomic
Star Rating
(282)4.5 out of 5
Market Segments
Enterprise (45.9% of reviews)
Pros & Cons
Entry-Level Pricing
Free Trial
Free Trial is available
Browse all 3 pricing plansSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- G2 reviewers report that IBM Turbonomic excels in providing automated recommendations for scaling and rightsizing VMs, which has helped users reduce unnecessary cloud costs and improve performance visibility. This feature is particularly praised for its ability to manage resource adjustments in real time, minimizing the need for manual checks.
- Users say that IBM Cloud Pak for AIOps offers a unique approach to monitoring alerts, with a color-coded system that clearly indicates the severity of issues. This intuitive feature has made it easier for teams to prioritize their responses, enhancing operational efficiency.
- Reviewers mention that IBM Turbonomic's user experience is generally more favorable, with higher ratings for ease of use and setup. Many users appreciate the intuitive onboarding process, which allows them to quickly get up and running with the tool.
- According to verified reviews, IBM Cloud Pak for AIOps is recognized for its ability to integrate data from various sources, providing valuable insights for decision-making. Users highlight its capacity to handle operational challenges effectively, making it a versatile tool for managing complex environments.
- G2 reviewers report that IBM Turbonomic stands out in terms of support quality, with users rating it highly for responsiveness and helpfulness. This level of support has contributed to a more positive overall experience, especially for enterprises that rely on timely assistance.
- Users say that while IBM Cloud Pak for AIOps has strong capabilities in data visualization and alert management, it faces challenges in user satisfaction compared to IBM Turbonomic. The latter's higher overall ratings reflect a more consistent positive experience among its users, particularly in operational efficiency and cost management.
Pricing
Entry-Level Pricing
IBM Cloud Pak for AIOps
No pricing availableIBM Turbonomic
Free Trial
Free Trial
Get started with Turbonomic for a 30-day evaluation with unlimited optimization of your application resources and cloud costs for your AWS, Azure and GCP accounts.
- Public cloud optimization
Free Trial
IBM Cloud Pak for AIOps
No trial information availableIBM Turbonomic
Free Trial is available
Ratings
Meets Requirements
8.8
32
8.7
207
Ease of Use
8.0
32
8.4
216
Ease of Setup
7.9
20
8.3
170
Ease of Admin
7.9
19
8.5
141
Quality of Support
8.4
31
8.9
182
Has the product been a good partner in doing business?
8.8
20
9.0
140
Product Direction (% positive)
7.3
26
8.6
199
Features by Category
Operations
Not enough data
8.8
110
Not enough data
8.7
104
Not enough data
8.4
84
Not enough data
8.5
101
Cost Optimization
Not enough data
8.6
103
Not enough data
8.6
101
Not enough data
8.5
94
Administration
Not enough data
8.1
98
Not enough data
8.3
107
Not enough data
8.5
84
Agentic AI - Cloud Cost Management
Not enough data
7.7
5
Not enough data
7.7
5
Not enough data
8.0
5
Functionality
Not enough data
8.8
8
Not enough data
8.8
8
Not enough data
8.3
8
Not enough data
7.9
8
Not enough data
8.8
8
Not enough data
7.7
8
Agentic AI - Database 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
Not enough data
Not enough data
Not enough data
Not enough data
Monitoring
Not enough data
8.7
35
Not enough data
8.4
32
Not enough data
8.1
30
Not enough data
8.8
32
Not enough data
7.0
9
Administration
Not enough data
8.5
34
Not enough data
8.5
30
Not enough data
8.5
33
Not enough data
8.7
9
Analysis
Not enough data
7.9
34
Not enough data
7.9
34
Not enough data
8.3
34
Agentic AI - Cloud Infrastructure Monitoring
Not enough data
7.3
8
Not enough data
7.3
8
Not enough data
7.5
8
Not enough data
7.3
8
Not enough data
7.7
8
Not enough data
7.9
8
AI Automation - Cloud Infrastructure Monitoring
Not enough data
6.7
8
Not enough data
6.5
8
Functionality
Not enough data
8.1
24
Not enough data
8.3
23
Not enough data
8.5
24
Management
Not enough data
8.7
23
Not enough data
Feature Not Available
7.7
5
8.7
25
8.7
5
Feature Not Available
Agentic AI - Cloud Management Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Functionality
Not enough data
8.3
17
Not enough data
8.5
16
Not enough data
8.8
16
Issue Resolution
Not enough data
Feature Not Available
Not enough data
8.8
17
Not enough data
8.6
17
Management
Not enough data
8.6
17
Not enough data
8.8
17
Not enough data
8.8
17
Generative AI
Not enough data
8.9
11
Not enough data
8.6
11
Agentic AI - AIOps Platforms
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
Not enough data
Not enough data
Not enough data
Not enough data
Functionality
Not enough data
8.5
9
Not enough data
8.9
9
Not enough data
8.1
9
Not enough data
7.8
9
Management
Not enough data
8.3
9
Not enough data
8.7
9
Not enough data
9.1
9
Not enough data
9.4
9
Agentic AI - Enterprise 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
Not enough data
Not enough data
Not enough data
Not enough data
Performance Management
Not enough data
8.3
7
Not enough data
8.3
7
Not enough data
8.6
7
Monitoring
Not enough data
9.0
7
Not enough data
8.8
7
Not enough data
Feature Not Available
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
Alerts management
Not enough data
7.7
8
Not enough data
7.3
8
Not enough data
8.0
9
Monitoring
Not enough data
8.1
9
Not enough data
8.1
9
Not enough data
8.7
9
Not enough data
Feature Not Available
Automation
Not enough data
7.1
8
Not enough data
7.3
8
Analysis
Not enough data
7.3
8
Not enough data
8.0
9
Not enough data
8.0
9
Not enough data
7.2
9
Issue Resolution
Not enough data
8.1
9
Not enough data
8.1
8
Not enough data
7.1
8
Generative AI
Not enough data
Not enough data
Agentic AI - IT Alerting
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
Not enough data
Not enough data
Not enough data
Not enough data
Analysis
Not enough data
Feature Not Available
Platform
Not enough data
Feature Not Available
Not enough data
Feature Not Available
Not enough data
8.3
21
Not enough data
8.2
21
Not enough data
Feature Not Available
Security
Not enough data
Feature Not Available
Not enough data
Feature Not Available
Not enough data
Feature Not Available
Not enough data
8.6
25
Not enough data
8.1
25
Agentic AI - Enterprise IT Management
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
Not enough data
Not enough data
Not enough data
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
IBM Cloud Pak for AIOps and IBM Turbonomic are categorized as Cloud Management Platforms
Unique Categories
IBM Cloud Pak for AIOps is categorized as Other IT Management, Application Performance Monitoring (APM), and Container Management
Reviews
Reviewers' Company Size
IBM Cloud Pak for AIOps
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
IBM Turbonomic
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
14.3%
Computer Software
14.3%
Telecommunications
10.7%
Management Consulting
8.9%
Banking
5.4%
Other
46.4%
Information Technology and Services
18.0%
Computer Software
12.9%
Financial Services
5.9%
Telecommunications
5.5%
Computer & Network Security
4.7%
Other
52.9%
Alternatives
Discussions
IBM Cloud Pak for AIOps has no discussions with answers
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