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Compare IBM Turbonomic and Virtana Platform 
At a Glance
Market Segments
Enterprise (45.9% of reviews)
Enterprise (51.4% 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 plansVirtana Platform
Star Rating
(38)4.3 out of 5
Market Segments
Enterprise (51.4% of reviews)
Pros & Cons
Not enough data
Entry-Level Pricing
No pricing available
Learn more about Virtana PlatformSummary
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. In contrast, Virtana Platform users appreciate the daily emails with useful information about idle resource spending, but it lacks the same level of automation in resource management.
- Users say that IBM Turbonomic's implementation process is quick and intuitive, with many highlighting the real-time resource adjustments that eliminate the need for constant manual checks. On the other hand, while Virtana Platform is described as easy to install and intuitive, it may not offer the same depth of automation that some users desire.
- Reviewers mention that IBM Turbonomic has a higher overall satisfaction score, reflecting its ability to keep applications running smoothly while minimizing operational overhead. In comparison, Virtana Platform, while still well-rated, has a slightly lower satisfaction score, indicating that some users may find it less effective in certain areas.
- According to verified reviews, IBM Turbonomic shines in its ease of use, with users rating it highly for its user-friendly interface and functionality. Conversely, while Virtana Platform is also rated positively, it falls short in this area, suggesting that some users may encounter challenges in navigating its features.
- G2 reviewers report that IBM Turbonomic's quality of support is highly rated, with users appreciating the responsiveness and helpfulness of the support team. In contrast, Virtana Platform's support is also well-regarded, but it may not match the level of satisfaction seen with IBM Turbonomic.
- Users say that IBM Turbonomic provides clear, actionable recommendations that enhance decision-making, while Virtana Platform's reporting features are praised for their comprehensibility. However, IBM Turbonomic's reporting capabilities are seen as less robust compared to Virtana's, which may offer more detailed insights for users looking to optimize their cloud resources.
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
Virtana Platform
No pricing availableFree Trial
IBM Turbonomic
Free Trial is available
Virtana Platform
Free Trial is available
Ratings
Meets Requirements
8.7
207
8.3
26
Ease of Use
8.4
216
7.7
28
Ease of Setup
8.3
170
7.5
19
Ease of Admin
8.5
141
8.1
19
Quality of Support
8.9
182
8.8
22
Has the product been a good partner in doing business?
9.0
140
9.0
15
Product Direction (% positive)
8.6
199
9.0
24
Features by Category
Operations
8.8
110
Not enough data
8.7
104
Not enough data
8.4
84
Not enough data
8.5
101
Not enough data
Cost Optimization
8.6
103
Not enough data
8.6
101
Not enough data
8.5
94
Not enough data
Administration
8.1
98
Not enough data
8.3
107
Not enough data
8.5
84
Feature Not Available
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
Functionality
Not enough data
6.9
7
Not enough data
7.1
7
Not enough data
7.0
5
Not enough data
6.9
6
Monitoring - Network Monitoring
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Management
Not enough data
7.1
7
Not enough data
6.4
6
Not enough data
6.7
6
Analytics - Network Monitoring
Not enough data
Not enough data
Not enough data
Not enough data
Security - Network Monitoring
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Network Performance - Network Monitoring
Not enough data
Not enough data
Not enough data
Not enough data
AI Automation - Network Monitoring
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Agentic AI - Network 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
8.7
5
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
Feature Not Available
8.5
30
Not enough data
8.5
33
Not enough data
8.7
9
Not enough data
Analysis
7.9
34
8.3
5
7.9
34
9.3
5
8.3
34
8.3
5
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
Not enough data
8.3
23
Not enough data
8.5
24
Not enough data
Management
8.7
23
Not enough data
Feature Not Available
Not enough data
8.7
25
Not enough data
Feature Not Available
Not enough data
Agentic AI - Cloud Management Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
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
Visibility
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Monitoring and 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
Agentic AI - Hardware 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
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
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
Feature Not Available
Analysis
7.3
8
Not enough data
8.0
9
Not enough data
8.0
9
Not enough data
7.2
9
Feature Not Available
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
Telemetry Collection & Ingestion - Observability
Not enough data
Not enough data
Not enough data
Not enough data
Agentic AI - Observability Software
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
Visualization & Dashboards - Observability
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Correlation & Root Cause Analysis - Observability
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Scalability & Ecosystem Integration - Observability
Not enough data
Not enough data
Not enough data
Not enough data
AI Features - Observability
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 Virtana Platform are categorized as Cloud Infrastructure Monitoring, Cloud Cost Management, Container Monitoring, Enterprise Monitoring, IT Alerting, and AIOps Platforms
Unique Categories
IBM Turbonomic is categorized as Cloud Management Platforms, Data Center Infrastructure Management (DCIM), Enterprise IT Management, and Database Monitoring
Virtana Platform is categorized as Network Monitoring, Hardware Monitoring, and Observability Software
Reviews
Reviewers' Company Size
IBM Turbonomic
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Virtana Platform
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
25.7%
Hospital & Health Care
8.6%
Computer & Network Security
8.6%
Telecommunications
5.7%
E-Learning
5.7%
Other
45.7%
Alternatives
Discussions
What is ParkMyCloud and how does it work?
1 Comment
Official Response from ParkMyCloud
ParkMyCloud is a SaaS platform that automatically identifies and eliminates public cloud resource waste, reducing spending by 65% or more — think “Nest for...Read more
Why do I need ParkMyCloud — what problem does it solve?
1 Comment
Official Response from ParkMyCloud
The popularity of cloud service providers like Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform (GCP), and Alibaba Cloud has exploded...Read more
Which cloud service providers do you support?
1 Comment
Official Response from ParkMyCloud
ParkMyCloud supports Amazon Web Services (AWS) including AWS GovCloud (US), Microsoft Azure, Google Cloud Platform (GCP), and Alibaba Cloud.Read more
Virtana Platform has no discussions with answers
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