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Compare Azure Arc and IBM Turbonomic 
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At a Glance
Market Segments
Mid-Market (44.0% of reviews)
Enterprise (45.9% of reviews)
Entry-Level Pricing
No pricing available
Free Trial
Azure Arc
Star Rating
(29)4.4 out of 5
Market Segments
Mid-Market (44.0% of reviews)
Pros & Cons
Not enough data
Entry-Level Pricing
No pricing available
Learn more about Azure ArcIBM 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 and gain 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 that Azure Arc offers great flexibility, allowing it to run across datacenters in a multi-cloud environment. This adaptability is a significant advantage for organizations looking to streamline their cloud operations and enhance customization options.
- Reviewers mention that IBM Turbonomic has a strong focus on cloud optimization, with many users appreciating its ability to keep applications running smoothly while lowering operational overhead. This focus on efficiency is a key selling point for enterprises looking to optimize their cloud resources.
- According to verified reviews, Azure Arc is recognized for its security and safety features, which are critical for businesses concerned about data protection in cloud services. Users feel reassured by the robust security measures provided by Microsoft Azure.
- G2 reviewers highlight that while IBM Turbonomic has a higher overall satisfaction score, Azure Arc still maintains a competitive edge in cloud orchestration, with users noting its effectiveness in managing complex cloud environments and workflows.
- Users report that IBM Turbonomic's implementation process is generally quick and intuitive, which is a significant advantage for teams looking to get up and running without extensive delays. In contrast, some users find Azure Arc's setup to be less straightforward, which may pose challenges for new adopters.
Pricing
Entry-Level Pricing
Azure Arc
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 Arc
No trial information availableIBM Turbonomic
Free Trial is available
Ratings
Meets Requirements
8.9
19
8.7
207
Ease of Use
8.6
20
8.4
216
Ease of Setup
7.6
9
8.3
170
Ease of Admin
8.5
9
8.5
141
Quality of Support
8.8
19
8.9
182
Has the product been a good partner in doing business?
8.5
8
9.0
140
Product Direction (% positive)
8.7
18
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
8.6
12
8.1
24
9.0
12
8.3
23
8.8
12
8.5
24
Management
7.8
13
8.7
23
8.2
13
Feature Not Available
9.2
12
8.7
25
8.7
13
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
Azure Arc and IBM Turbonomic are categorized as Cloud Management Platforms
Unique Categories
Azure Arc has no unique categories
Reviews
Reviewers' Company Size
Azure Arc
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
26.9%
Marketing and Advertising
7.7%
Computer Software
7.7%
Banking
7.7%
Telecommunications
3.8%
Other
46.2%
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 Arc 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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