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Compare IBM Turbonomic and Pliant

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At a Glance
IBM Turbonomic
IBM Turbonomic
Star Rating
(282)4.5 out of 5
Market Segments
Enterprise (45.9% of reviews)
Information
Pros & Cons
Entry-Level Pricing
Free Trial
Free Trial is available
Browse all 3 pricing plans
Pliant
Pliant
Star Rating
(20)4.6 out of 5
Market Segments
Mid-Market (45.0% of reviews)
Information
Pros & Cons
Entry-Level Pricing
Free Trial 5 Workflows
Browse all 3 pricing plans
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 level of automation is particularly appreciated as it minimizes the need for constant manual checks.
  • Users say Pliant stands out for its user-friendly interface, making automation accessible even for those who may not be tech-savvy. The drag-and-drop functionality allows non-programmers to easily automate processes, which has been a significant time-saver for many.
  • According to verified reviews, IBM Turbonomic has a strong reputation for keeping applications running smoothly while also lowering operational overhead. Users highlight its ability to manage resource adjustments in real time, which enhances overall efficiency.
  • Reviewers mention that Pliant's responsive support team is a major asset, providing helpful assistance whenever users encounter questions or challenges. This level of support contributes to a positive user experience, especially for those new to automation tools.
  • G2 reviewers indicate that while IBM Turbonomic has a higher overall satisfaction score, Pliant's recent feedback reflects a strong commitment to enhancing operational agility and security, making it a valuable tool for teams looking to streamline their digital processes.
  • Users report that IBM Turbonomic's comprehensive analytics capabilities allow for clear, actionable recommendations, which are crucial for organizations aiming to optimize their IT resources effectively. This feature is often cited as a key differentiator in its market segment.
Pricing
Entry-Level Pricing
IBM Turbonomic
Free Trial
Free Trial
Browse all 3 pricing plans
Pliant
Community Edition
Free Trial
5 Workflows
Browse all 3 pricing plans
Free Trial
IBM Turbonomic
Free Trial is available
Pliant
Free Trial is available
Ratings
Meets Requirements
8.7
207
9.2
18
Ease of Use
8.4
216
9.4
18
Ease of Setup
8.3
170
9.0
10
Ease of Admin
8.5
141
Not enough data
Quality of Support
8.9
182
9.4
18
Has the product been a good partner in doing business?
9.0
140
Not enough data
Product Direction (% positive)
8.6
199
10.0
17
Features by Category
8.3
131
Not enough data
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
Not enough data
Agentic AI - Cloud Cost Management
7.7
5
Not enough data
7.7
5
Not enough data
8.0
5
Not enough data
Network Automation ToolsHide 17 FeaturesShow 17 Features
Not enough data
Not enough data
Configuration
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Agentic AI - Network Automation Tools
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Network
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Logistics
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Security - Network Automation
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Cloud Infrastructure AutomationHide 11 FeaturesShow 11 Features
Not enough data
9.2
7
Administration
Not enough data
9.0
7
Not enough data
9.5
7
Not enough data
9.5
7
Not enough data
9.0
7
Automation
Not enough data
9.3
7
Not enough data
9.3
7
Not enough data
9.5
7
Not enough data
9.3
7
IT Management
Not enough data
9.3
7
Not enough data
9.7
6
Not enough data
8.8
7
8.4
9
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
Cloud Infrastructure MonitoringHide 20 FeaturesShow 20 Features
7.9
37
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
Cloud Management PlatformsHide 10 FeaturesShow 10 Features
8.5
26
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
8.7
17
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
8.6
9
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
Data Center Infrastructure Management (DCIM)Hide 6 FeaturesShow 6 Features
8.6
7
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
7.7
10
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
Not enough data
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
Enterprise IT ManagementHide 18 FeaturesShow 18 Features
8.3
30
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
Reviews
Reviewers' Company Size
IBM Turbonomic
IBM Turbonomic
Small-Business(50 or fewer emp.)
22.4%
Mid-Market(51-1000 emp.)
31.8%
Enterprise(> 1000 emp.)
45.9%
Pliant
Pliant
Small-Business(50 or fewer emp.)
30.0%
Mid-Market(51-1000 emp.)
45.0%
Enterprise(> 1000 emp.)
25.0%
Reviewers' Industry
IBM Turbonomic
IBM Turbonomic
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%
Pliant
Pliant
Computer Software
25.0%
Marketing and Advertising
15.0%
Information Technology and Services
10.0%
Financial Services
10.0%
Retail
5.0%
Other
35.0%
Alternatives
IBM Turbonomic
IBM Turbonomic Alternatives
Dynatrace
Dynatrace
Add Dynatrace
Datadog
Datadog
Add Datadog
Splunk AppDynamics
Splunk AppDynamics
Add Splunk AppDynamics
Amazon CloudWatch
Amazon CloudWatch
Add Amazon CloudWatch
Pliant
Pliant Alternatives
Red Hat Ansible Automation Platform
Red Hat Ansible Automation Platform
Add Red Hat Ansible Automation Platform
ServiceNow IT Service Management
ServiceNow IT Service Management
Add ServiceNow IT Service Management
SolarWinds Observability
SolarWinds Observability
Add SolarWinds Observability
GitHub
GitHub
Add GitHub
Discussions
IBM Turbonomic
IBM Turbonomic 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
Pliant
Pliant Discussions
Monty the Mongoose crying
Pliant has no discussions with answers