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Compare IBM Turbonomic and Sunbird DCIM 
Featured Products
At a Glance
Market Segments
Enterprise (45.9% of reviews)
Enterprise (60.0% 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 plansSunbird DCIM
Star Rating
(12)4.6 out of 5
Market Segments
Enterprise (60.0% of reviews)
Pros & Cons
Not enough data
Entry-Level Pricing
No pricing available
Learn more about Sunbird DCIMSummary
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 cloud costs and improve performance visibility. This feature is particularly praised for its ability to manage resource adjustments in real time, minimizing the need for manual checks.
- Users say Sunbird DCIM stands out for its comprehensive data center management capabilities, including cabling, inventory, and asset tracking, all within a single application. Reviewers appreciate how user-friendly the platform is, making it easy for beginners to get up to speed quickly.
- According to verified reviews, IBM Turbonomic has a significantly higher overall satisfaction score, reflecting its strong market presence and user base. With 260 reviews compared to Sunbird DCIM's 10, the feedback for Turbonomic is more robust and recent, indicating a more reliable assessment of its performance.
- Reviewers mention that while Sunbird DCIM offers excellent support and ease of use, it lacks the same level of automation and real-time capabilities that IBM Turbonomic provides. Users have noted that Turbonomic's automation features help keep applications running smoothly while lowering operational overhead.
- Users highlight the quality of support for Sunbird DCIM, which has received perfect scores in this area. This strong support is complemented by frequent updates, ensuring that users have access to the latest features and improvements, which is a significant advantage for organizations looking for reliable assistance.
- According to recent feedback, IBM Turbonomic's ability to analyze workloads and provide actionable insights is a key differentiator. Users appreciate the tool's effectiveness in managing resources efficiently, which contrasts with Sunbird DCIM's focus on tracking and management without the same level of automation.
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
Sunbird DCIM
No pricing availableFree Trial
IBM Turbonomic
Free Trial is available
Sunbird DCIM
Free Trial is available
Ratings
Meets Requirements
8.7
207
9.4
8
Ease of Use
8.4
216
9.4
8
Ease of Setup
8.3
170
Not enough data
Ease of Admin
8.5
141
Not enough data
Quality of Support
8.9
182
10.0
8
Has the product been a good partner in doing business?
9.0
140
Not enough data
Product Direction (% positive)
8.6
199
10.0
6
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
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
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
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
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
9.7
5
8.6
7
8.7
5
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
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 Sunbird DCIM are categorized as Data Center Infrastructure Management (DCIM)
Unique Categories
IBM Turbonomic is categorized as Cloud Management Platforms, Cloud Infrastructure Monitoring, Cloud Cost Management, Container Monitoring, Enterprise IT Management, Database Monitoring, Enterprise Monitoring, IT Alerting, and AIOps Platforms
Sunbird DCIM has no unique categories
Reviews
Reviewers' Company Size
IBM Turbonomic
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Sunbird DCIM
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%
Banking
30.0%
Financial Services
20.0%
Pharmaceuticals
10.0%
Information Technology and Services
10.0%
Food Production
10.0%
Other
20.0%
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
Sunbird DCIM has no more discussions with answers
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