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Compare Digitate and IBM Turbonomic 
At a Glance
Market Segments
Enterprise (82.9% of reviews)
Enterprise (45.9% of reviews)
Entry-Level Pricing
Contact Us
Free Trial
Digitate
Star Rating
(125)4.3 out of 5
Market Segments
Enterprise (82.9% of reviews)
Pros & Cons
Entry-Level Pricing
Contact Us
Learn more about DigitateIBM 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 plansDigitate vs IBM Turbonomic
When assessing the two solutions, reviewers found IBM Turbonomic easier to use, set up, and administer. Reviewers also preferred doing business with IBM Turbonomic overall.
- Reviewers felt that IBM Turbonomic meets the needs of their business better than Digitate.
- When comparing quality of ongoing product support, reviewers felt that IBM Turbonomic is the preferred option.
- For feature updates and roadmaps, our reviewers preferred the direction of IBM Turbonomic over Digitate.
Pricing
Entry-Level Pricing
Digitate
ignio™ capabilities
Contact Us
- Infrastructure Monitoring: Collect health and performance data from servers, virtual machines, containers across the technology stack - Starting at $14 / Host
- Log Monitoring: Monitor logs to identify anomalies, detect root cause and resolve the issues - Starting at $14 / Host
- Network Device Monitoring: Monitor and optimize the health and performance of network devices - Starting at $7 / Network Device
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
Free Trial
Digitate
No trial information availableIBM Turbonomic
Free Trial is available
Ratings
Meets Requirements
8.6
111
8.7
207
Ease of Use
8.1
107
8.4
216
Ease of Setup
7.8
73
8.3
170
Ease of Admin
7.9
46
8.5
141
Quality of Support
8.7
110
8.9
182
Has the product been a good partner in doing business?
8.8
55
9.0
140
Product Direction (% positive)
8.4
111
8.6
199
Features by Category
Automation
8.2
51
Not enough data
8.1
51
Not enough data
7.7
50
Not enough data
Administration
7.6
47
Not enough data
7.9
49
Not enough data
7.9
49
Not enough data
7.7
46
Not enough data
8.0
49
Not enough data
7.9
46
Not enough data
Functionality
8.1
49
Not enough data
8.1
48
Not enough data
8.2
49
Not enough data
Agentic AI - Workload 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
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
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
7.6
64
8.3
17
7.5
64
8.5
16
8.5
67
8.8
16
Issue Resolution
7.7
65
Feature Not Available
7.7
66
8.8
17
7.5
65
8.6
17
Management
8.3
67
8.6
17
8.7
66
8.8
17
8.1
66
8.8
17
Generative AI
7.5
54
8.9
11
7.6
53
8.6
11
Agentic AI - AIOps Platforms
7.8
6
Not enough data
8.1
6
Not enough data
8.3
6
Not enough data
8.1
6
Not enough data
6.7
6
Not enough data
7.5
6
Not enough data
7.5
6
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
Digitate and IBM Turbonomic are categorized as AIOps Platforms
Unique Categories
Digitate is categorized as Workload Automation and Tools for ERP
Reviews
Reviewers' Company Size
Digitate
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
Retail
19.5%
Pharmaceuticals
9.8%
Banking
8.1%
Automotive
7.3%
Information Technology and Services
6.5%
Other
48.8%
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
Digitate 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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