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Compare IBM Turbonomic and Kubex 
Featured Products
At a Glance
Market Segments
Enterprise (45.9% of reviews)
Enterprise (62.5% of reviews)
Entry-Level Pricing
Free Trial
No pricing available
IBM 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 plansKubex
Star Rating
(26)4.7 out of 5
Market Segments
Enterprise (62.5% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about KubexSummary
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 is particularly appreciated for its ability to manage resource adjustments in real time, minimizing the need for constant manual checks.
- Users say Densify stands out for its exceptional customer support, with many praising the knowledgeable and responsive team that guides them through onboarding and advanced features. This level of support is often highlighted as a key differentiator, making the user experience smoother and more efficient.
- Reviewers mention that while IBM Turbonomic has a higher overall satisfaction score, Densify's user-friendly interface and straightforward onboarding process are frequently noted as significant advantages. Users appreciate the clear documentation and the ease with which they can start using the software.
- According to verified reviews, Densify's features for cloud optimization and spend forecasting receive high marks, with users noting that these tools help them track performance and manage costs effectively. The ability to visualize data through features like Candle Stick Charts is also a plus for users looking to monitor application performance closely.
- G2 reviewers report that IBM Turbonomic's strength lies in its automation capabilities, which help keep applications running smoothly while lowering operational overhead. Users have expressed satisfaction with how the tool analyzes workloads and provides actionable insights, making it a valuable asset for managing cloud resources.
- Users say that while Densify has a smaller user base, its focus on multi-cloud management and usage monitoring is highly regarded, with many finding these features to be robust and effective. This focus allows users to manage resources across different cloud environments seamlessly, which is crucial for modern IT operations.
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
Kubex
No pricing availableFree Trial
IBM Turbonomic
Free Trial is available
Kubex
Free Trial is available
Ratings
Meets Requirements
8.7
207
9.2
19
Ease of Use
8.4
216
9.3
20
Ease of Setup
8.3
170
8.8
13
Ease of Admin
8.5
141
8.7
9
Quality of Support
8.9
182
9.6
19
Has the product been a good partner in doing business?
9.0
140
10.0
9
Product Direction (% positive)
8.6
199
10.0
15
Features by Category
Operations
8.8
110
8.7
9
8.7
104
9.2
10
8.4
84
9.5
11
8.5
101
9.5
13
Cost Optimization
8.6
103
9.7
11
8.6
101
9.7
13
8.5
94
9.3
12
Administration
8.1
98
9.6
12
8.3
107
9.3
12
8.5
84
9.5
10
Agentic AI - Cloud Cost Management
7.7
5
Not enough data
7.7
5
Not enough data
8.0
5
Not enough data
Functionality
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
Not enough data
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
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
Not enough data
Administration
8.5
34
Not enough data
8.5
30
Not enough data
8.5
33
Not enough data
8.7
9
Not enough data
Analysis
7.9
34
Not enough data
7.9
34
Not enough data
8.3
34
Not enough data
Agentic AI - Cloud Infrastructure Monitoring
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
Not enough data
AI Automation - Cloud Infrastructure Monitoring
6.7
8
Not enough data
6.5
8
Not enough data
Functionality
8.1
24
9.2
6
8.3
23
Feature Not Available
8.5
24
9.6
8
Management
8.7
23
9.2
8
Feature Not Available
Feature Not Available
8.7
25
9.0
8
Feature Not Available
Feature Not Available
Agentic AI - Cloud Management Platforms
Not enough data
Feature Not Available
Not enough data
Feature Not Available
Not enough data
Feature Not Available
Functionality
8.3
17
Not enough data
8.5
16
Not enough data
8.8
16
Not enough data
Issue Resolution
Feature Not Available
Not enough data
8.8
17
Not enough data
8.6
17
Not enough data
Management
8.6
17
Not enough data
8.8
17
Not enough data
8.8
17
Not enough data
Generative AI
8.9
11
Not enough data
8.6
11
Not enough data
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
8.5
9
Not enough data
8.9
9
Not enough data
8.1
9
Not enough data
7.8
9
Not enough data
Management
8.3
9
Not enough data
8.7
9
Not enough data
9.1
9
Not enough data
9.4
9
Not enough data
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
Assessment
Not enough data
Feature Not Available
Not enough data
Feature Not Available
Not enough data
Feature Not Available
Performance Management
8.3
7
Not enough data
8.3
7
Not enough data
8.6
7
Not enough data
Monitoring
9.0
7
Not enough data
8.8
7
Not enough data
Feature Not Available
Not enough data
Alerts management
7.7
8
Not enough data
7.3
8
Not enough data
8.0
9
Not enough data
Monitoring
8.1
9
Not enough data
8.1
9
Not enough data
8.7
9
Not enough data
Feature Not Available
Not enough data
Automation
7.1
8
Not enough data
7.3
8
Not enough data
Analysis
7.3
8
Not enough data
8.0
9
Not enough data
8.0
9
Not enough data
7.2
9
Not enough data
Issue Resolution
8.1
9
Not enough data
8.1
8
Not enough data
7.1
8
Not enough data
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 - AWS Marketplace
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Analysis
Feature Not Available
Not enough data
Platform
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
Not enough data
Security
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
Not enough data
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
IBM Turbonomic and Kubex are categorized as Cloud Management Platforms and Cloud Cost Management
Unique Categories
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
Kubex is categorized as Cloud Migration Assessment Tools and AWS Marketplace
Reviews
Reviewers' Company Size
IBM Turbonomic
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Kubex
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
18.0%
Computer Software
12.9%
Financial Services
5.9%
Telecommunications
5.5%
Computer & Network Security
4.7%
Other
52.9%
Information Technology and Services
29.2%
Financial Services
20.8%
Computer Software
8.3%
Banking
8.3%
Wireless
4.2%
Other
29.2%
Alternatives
Discussions
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
Kubex has no discussions with answers
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