Compare Flexera One and IBM Turbonomic 
At a Glance
Market Segments
Enterprise (73.5% of reviews)
Enterprise (43.8% of reviews)
Entry-Level Pricing
No pricing available
Free Trial
Flexera One
Star Rating
(123)4.3 out of 5
Market Segments
Enterprise (73.5% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about Flexera OneIBM Turbonomic
Star Rating
(309)4.4 out of 5
Market Segments
Enterprise (43.8% 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 intelligent automation, with users appreciating its ability to automatically rightsize resources to maintain performance while reducing cloud costs. This feature allows for continuous analysis of application demand, which is a significant advantage for organizations looking to optimize their cloud spending.
- Users say that Flexera One offers a user-friendly interface that is easy to navigate, making it accessible for new users. Many reviewers noted that they were able to familiarize themselves with the platform quickly, which can be a crucial factor for teams needing to implement a solution without extensive training.
- Reviewers mention that IBM Turbonomic provides automated resource optimization, which goes beyond basic monitoring. Users highlighted how it helps ensure applications receive the right amount of CPU and memory, effectively avoiding over-provisioning and enhancing overall efficiency.
- According to verified reviews, Flexera One's dashboards are comprehensive and easy to understand, which aids in managing assets and reducing security risks. This feature is particularly beneficial for decision-making processes, as it allows users to quickly identify outdated software and optimize costs.
- G2 reviewers report that IBM Turbonomic has a strong focus on cost reduction, with users noting that it effectively lowers client bills without requiring them to delve into technical details. This capability fosters trust and allows businesses to scale their operations more efficiently.
- Users say that while Flexera One is effective for automation and cost optimization, it may not match the depth of resource management features found in IBM Turbonomic. Some users expressed a desire for more robust capabilities in multi-cloud management and resource allocation.
Pricing
Entry-Level Pricing
Flexera One
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
Flexera One
No trial information availableIBM Turbonomic
Free Trial is available
Ratings
Meets Requirements
8.5
113
8.8
220
Ease of Use
8.4
115
8.4
229
Ease of Setup
8.1
98
8.3
183
Ease of Admin
8.3
68
8.5
142
Quality of Support
8.1
111
8.9
194
Has the product been a good partner in doing business?
8.4
67
8.9
141
Product Direction (% positive)
8.6
113
8.7
211
Features by Category
Tracking
8.5
25
Not enough data
8.2
25
Not enough data
7.7
24
Not enough data
Management
8.6
23
Not enough data
8.7
24
Not enough data
7.9
24
Not enough data
Insights
8.1
24
Not enough data
8.2
24
Not enough data
7.7
22
Not enough data
8.1
24
Not enough data
Agentic AI - SaaS Spend Management
7.7
18
Not enough data
7.8
18
Not enough data
7.9
18
Not enough data
7.8
18
Not enough data
7.4
18
Not enough data
7.8
18
Not enough data
7.8
18
Not enough data
Operations
8.2
44
8.8
110
8.3
46
8.7
104
8.3
46
8.4
84
8.0
46
8.6
102
Cost Optimization
8.3
44
8.6
103
8.2
46
8.6
101
8.3
44
8.5
94
Administration
8.0
48
8.1
98
8.0
48
8.3
107
8.3
42
8.5
84
Agentic AI - Cloud Cost Management
8.0
19
7.7
5
8.5
19
7.7
5
8.5
19
8.0
5
Security
8.9
20
Not enough data
8.7
20
Not enough data
8.7
20
Not enough data
8.4
18
Not enough data
Compliance
9.5
22
Not enough data
9.2
21
Not enough data
9.3
18
Not enough data
Administration
8.8
20
Not enough data
9.1
19
Not enough data
8.3
19
Not enough data
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
31
Not enough data
8.8
33
Not enough data
7.0
9
Administration
Not enough data
8.6
35
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
8.5
73
8.1
24
8.1
76
8.4
24
8.2
74
8.5
24
Management
8.1
74
8.7
23
8.2
68
Feature Not Available
8.2
72
8.7
26
7.6
64
Feature Not Available
Agentic AI - Cloud Management Platforms
7.6
38
Not enough data
7.8
39
Not enough data
7.9
39
Not enough data
Functionality
Not enough data
8.5
19
Not enough data
8.5
16
Not enough data
8.8
17
Issue Resolution
Not enough data
Feature Not Available
Not enough data
8.9
19
Not enough data
9.0
23
Management
Not enough data
8.6
23
Not enough data
8.8
17
Not enough data
8.5
20
Generative AI
Not enough data
8.9
11
Not enough data
8.6
11
Agentic AI - AIOps Platforms
Not enough data
9.1
11
Not enough data
8.3
5
Not enough data
7.3
8
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
8.8
8
Not enough data
8.7
10
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
8.9
53
Not enough data
9.3
54
Not enough data
8.4
53
Not enough data
7.5
51
Not enough data
8.6
53
Not enough data
Generative AI
6.6
45
Not enough data
6.7
42
Not enough data
Agentic AI - IT Asset Management
7.3
38
Not enough data
7.4
38
Not enough data
7.9
37
Not enough data
7.4
37
Not enough data
7.3
37
Not enough data
7.2
37
Not enough data
7.5
37
Not enough data
Management
8.4
52
Not enough data
8.5
49
Not enough data
8.4
49
Not enough data
8.7
51
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
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
App Management
8.4
18
Not enough data
7.8
18
Not enough data
8.1
18
Not enough data
7.5
18
Not enough data
8.2
18
Not enough data
7.5
18
Not enough data
Security
8.6
19
Not enough data
7.7
17
Not enough data
8.1
18
Not enough data
AI Features
6.6
16
Not enough data
6.4
16
Not enough data
Spend Management
7.9
18
Not enough data
7.8
18
Not enough data
8.1
18
Not enough data
6.4
18
Not enough data
7.8
19
Not enough data
8.0
17
Not enough data
Agentic AI - SaaS Management Platforms (SMP)
7.0
16
Not enough data
6.7
16
Not enough data
6.6
16
Not enough data
6.8
16
Not enough data
6.9
16
Not enough data
6.9
16
Not enough data
7.1
16
Not enough data
Cloud Visibility
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Security
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Identity
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
Flexera One and IBM Turbonomic are categorized as Cloud Cost Management and Cloud Management Platforms
Unique Categories
Flexera One is categorized as Cloud Compliance, SaaS Spend Management, SaaS Management Platforms (SMP), and IT Asset Management
IBM Turbonomic is categorized as Cloud Infrastructure Monitoring, Data Center Infrastructure Management (DCIM), Container Monitoring, Enterprise IT Management, Database Monitoring, Enterprise Monitoring, IT Alerting, and AIOps Platforms
Reviews
Reviewers' Company Size
Flexera One
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
39.3%
Computer Software
7.7%
Computer & Network Security
6.0%
Manufacturing
4.3%
Consulting
4.3%
Other
38.5%
Information Technology and Services
18.7%
Computer Software
13.4%
Financial Services
5.6%
Telecommunications
5.2%
Computer & Network Security
4.9%
Other
52.2%
Alternatives
Discussions
Flexera One has no 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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