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Compare Finout and IBM Turbonomic 
Featured Products
At a Glance
Market Segments
Mid-Market (66.2% of reviews)
Enterprise (45.9% of reviews)
Entry-Level Pricing
$1,000.00 Per Month
Free Trial
Finout
Star Rating
(68)4.5 out of 5
Market Segments
Mid-Market (66.2% of reviews)
Pros & Cons
Entry-Level Pricing
$1,000.00 Per Month
Browse all 3 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 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 while improving performance visibility. This feature stands out as a significant advantage for those looking to optimize their cloud resources effectively.
- Users say that Finout offers a clear and detailed overview of cloud costs across multiple platforms, with intuitive dashboards that make it easy to track expenses. This level of transparency is particularly appreciated by teams needing to allocate costs by project or department, making it a strong choice for organizations focused on financial clarity.
- According to verified reviews, IBM Turbonomic has a higher overall satisfaction score, reflecting its ability to keep applications running smoothly while minimizing operational overhead. Users have praised its real-time resource management capabilities, which reduce the need for constant manual checks.
- Reviewers mention that while Finout provides excellent reporting tools and customizable dashboards, it may not match the comprehensive automation features of IBM Turbonomic. Users have highlighted the importance of actionable insights, which Turbonomic delivers effectively through its automated processes.
- Users appreciate the quality of support from both products, with Finout receiving slightly higher ratings. However, IBM Turbonomic's support is noted for being responsive and helpful, particularly when users encounter challenges with implementation or optimization.
- G2 reviewers highlight that while both products have similar star ratings, IBM Turbonomic's larger number of reviews and higher G2 Score suggest a more robust user experience overall. This is particularly relevant for potential buyers looking for a solution with proven reliability and user satisfaction.
Pricing
Entry-Level Pricing
Finout
Business
$1,000.00
Per Month
For SMB's with a yearly cloud spend of up to $500,000 yearly.
- 2 cost centers
- 1 Year data retention
- Unlimited users
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
Finout
Free Trial is available
IBM Turbonomic
Free Trial is available
Ratings
Meets Requirements
8.0
63
8.7
207
Ease of Use
8.6
64
8.4
216
Ease of Setup
8.7
38
8.3
170
Ease of Admin
8.2
34
8.5
141
Quality of Support
9.0
55
8.9
182
Has the product been a good partner in doing business?
9.3
34
9.0
140
Product Direction (% positive)
9.5
65
8.6
199
Features by Category
Operations
Feature Not Available
8.8
110
Feature Not Available
8.7
104
8.9
58
8.4
84
8.2
60
8.5
101
Cost Optimization
7.5
55
8.6
103
6.7
56
8.6
101
8.9
61
8.5
94
Administration
8.5
59
8.1
98
8.8
62
8.3
107
7.6
52
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
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
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
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
Categories
Categories
Shared Categories
Finout and IBM Turbonomic are categorized as Cloud Cost Management
Unique Categories
Finout has no unique categories
Reviews
Reviewers' Company Size
Finout
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
19.1%
Computer Software
17.6%
Financial Services
13.2%
Computer & Network Security
11.8%
Security and Investigations
5.9%
Other
32.4%
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
Finout 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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