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Compare Faddom and IBM Turbonomic 
Featured Products
At a Glance
Market Segments
Enterprise (46.1% of reviews)
Enterprise (45.9% of reviews)
Entry-Level Pricing
Free 1 License
Free Trial
Faddom
Star Rating
(106)4.5 out of 5
Market Segments
Enterprise (46.1% of reviews)
Pros & Cons
Entry-Level Pricing
Free 1 License
Browse all 4 pricing plansIBM 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 plansFaddom vs IBM Turbonomic
When assessing the two solutions, reviewers found Faddom easier to use, set up, and administer. Reviewers also preferred doing business with Faddom overall.
- Faddom and IBM Turbonomic both meet the requirements of our reviewers at a comparable rate.
- When comparing quality of ongoing product support, reviewers felt that Faddom is the preferred option.
- For feature updates and roadmaps, our reviewers preferred the direction of Faddom over IBM Turbonomic.
Pricing
Entry-Level Pricing
IBM 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
Faddom
Free Trial is available
IBM Turbonomic
Free Trial is available
Ratings
Meets Requirements
8.7
81
8.7
207
Ease of Use
8.8
83
8.4
216
Ease of Setup
8.7
81
8.3
170
Ease of Admin
8.8
74
8.5
141
Quality of Support
9.2
78
8.9
182
Has the product been a good partner in doing business?
9.4
70
9.0
140
Product Direction (% positive)
9.3
81
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
Automation
7.2
23
Not enough data
5.7
23
Not enough data
7.0
21
Not enough data
8.9
22
Not enough data
Functionality
9.1
22
Not enough data
7.7
22
Not enough data
9.3
23
Not enough data
8.2
22
Not enough data
Incident Management
8.0
22
Not enough data
7.9
21
Not enough data
8.0
22
Not enough data
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
Not enough data
8.7
25
Not enough data
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
8.7
15
Not enough data
8.7
15
Not enough data
8.1
17
Not enough data
7.7
13
Not enough data
Management
6.7
13
Not enough data
8.2
16
Not enough data
7.7
17
Not enough data
9.0
17
Not enough data
Security
7.6
15
Not enough data
Agentic AI - Cloud Migration
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
Asset Inventory
8.4
23
Not enough data
8.4
24
Not enough data
7.3
24
Not enough data
4.8
20
Not enough data
8.4
23
Not enough data
Generative AI
3.9
18
Not enough data
3.8
18
Not enough data
Agentic AI - IT Asset Management
5.0
5
Not enough data
5.0
5
Not enough data
6.3
5
Not enough data
6.3
5
Not enough data
6.3
5
Not enough data
6.3
5
Not enough data
6.3
5
Not enough data
Management
8.6
25
Not enough data
7.5
21
Not enough data
7.4
20
Not enough data
8.1
22
Not enough data
Assessment
8.8
7
Not enough data
8.6
7
Not enough data
8.6
7
Not enough data
Performance Management
7.4
21
8.3
7
8.1
21
8.3
7
7.8
24
8.6
7
Monitoring
7.9
22
9.0
7
5.6
18
8.8
7
5.8
20
Feature Not Available
Administration
6.3
9
Not enough data
8.6
15
Not enough data
8.7
15
Not enough data
Enforcement
5.8
10
Not enough data
5.7
9
Not enough data
9.1
15
Not enough data
6.7
12
Not enough data
6.3
9
Not enough data
Visibility
7.0
10
Not enough data
8.5
13
Not enough data
9.3
14
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
Agentic AI - Enterprise Architecture Tools
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
Categories
Categories
Shared Categories
Faddom and IBM Turbonomic are categorized as Data Center Infrastructure Management (DCIM)
Unique Categories
IBM Turbonomic is categorized as Cloud Management Platforms, Cloud Infrastructure Monitoring, Cloud Cost Management, Container Monitoring, Enterprise IT Management, Database Monitoring, Enterprise Monitoring, IT Alerting, and AIOps Platforms
Reviews
Reviewers' Company Size
Faddom
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
17.8%
Hospital & Health Care
5.9%
Telecommunications
5.0%
Government Administration
5.0%
Computer & Network Security
5.0%
Other
61.4%
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
What is Faddom used for?
1 Comment
RB
Faddom is a cost effective software application dependency mapping tool. It is easy to use, has extensive and effective documentation and excellent support....Read more
Faddom has no more discussions with answers
How does Turbonomic automate decision making?
1 Comment
Official Response from IBM Turbonomic
Turbonomic automates decision making by applying the economic principles of supply, demand, and price to managing IT resources. Workloads make scaling,...Read more
Why is this approach (of applying the economic principles of supply and demand to allocate IT resources) effective?
1 Comment
Official Response from IBM Turbonomic
This approach is effective because it allows workloads to make their own scaling, placement, and capacity decisions based on all the resources they need, it...Read more
Who does Turbonomic work with?
1 Comment
Official Response from IBM Turbonomic
We've partnered with 2,000+ enterprise customers and over 100 of the Fortune 500 to enable innovation. Our customers span across industries from technology,...Read more
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