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Compare Azure Advisor and IBM Turbonomic 
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At a Glance
Market Segments
Small-Business (38.5% of reviews)
Enterprise (45.9% of reviews)
Entry-Level Pricing
No pricing available
Free Trial
Azure Advisor
Star Rating
(15)4.6 out of 5
Market Segments
Small-Business (38.5% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about Azure AdvisorIBM 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 gaining better insights into performance impacts. This feature is particularly praised for its ability to manage resource adjustments in real time, minimizing the need for constant manual checks.
- Users say Azure Advisor stands out for its user-friendly interface, likening it to having a dedicated architect reviewing setups for free. Reviewers appreciate how it flags real issues and offers straightforward steps to save money and enhance security, making it a valuable tool for maintaining optimal performance.
- According to verified reviews, IBM Turbonomic has a strong focus on enterprise needs, with a significant portion of its user base coming from larger organizations. This focus allows it to cater effectively to complex environments, although some users note that it may not be as tailored for smaller businesses.
- Reviewers mention that Azure Advisor provides personalized recommendations based on cloud usage patterns, which helps users enhance performance and security while reducing overall costs. The dashboard displays results clearly, making it easy for users to understand and act on the insights provided.
- G2 reviewers highlight that while IBM Turbonomic has a slightly lower overall satisfaction score, its recent user feedback indicates a strong commitment to improving cloud management through automation and actionable insights, which many find invaluable for operational efficiency.
- Users report that Azure Advisor's ease of setup and administration is a significant advantage, with many finding the onboarding process intuitive and straightforward. This contrasts with some feedback for IBM Turbonomic, where users have experienced challenges during the initial configuration phase.
Pricing
Entry-Level Pricing
Azure Advisor
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
Azure Advisor
No trial information availableIBM Turbonomic
Free Trial is available
Ratings
Meets Requirements
9.3
10
8.7
207
Ease of Use
8.8
11
8.4
216
Ease of Setup
9.4
6
8.3
170
Ease of Admin
9.0
5
8.5
141
Quality of Support
9.0
10
8.9
182
Has the product been a good partner in doing business?
9.3
5
9.0
140
Product Direction (% positive)
10.0
11
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
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
Agentic AI - Mobile Development Platforms
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
Azure Advisor and IBM Turbonomic are categorized as Cloud Management Platforms
Unique Categories
Azure Advisor is categorized as Mobile Development Platforms
Reviews
Reviewers' Company Size
Azure Advisor
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
Computer Software
30.8%
Information Technology and Services
23.1%
Research
7.7%
Program Development
7.7%
Non-Profit Organization Management
7.7%
Other
23.1%
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
Azure Advisor 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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