Compare Datadog and IBM Turbonomic 
At a Glance
Market Segments
Mid-Market (47.1% of reviews)
Enterprise (43.8% of reviews)
Entry-Level Pricing
$0 Per host, per month
Free Trial
Datadog
Star Rating
(698)4.4 out of 5
Market Segments
Mid-Market (47.1% of reviews)
Pros & Cons
Entry-Level Pricing
$0 Per host, per month
Free Trial is available
Browse all 3 pricing plansIBM Turbonomic
Star Rating
(309)4.4 out of 5
Market Segments
Enterprise (43.8% 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 automated resource optimization, with users appreciating its ability to intelligently adjust CPU and memory based on application demand. This feature helps maintain performance while effectively reducing cloud costs, making it a valuable tool for organizations looking to optimize their resources.
- Users say that Datadog shines in its real-time monitoring capabilities, providing a comprehensive view of logs, metrics, and traces in a single platform. This integration allows teams to quickly identify issues without switching between multiple tools, enhancing overall productivity and response times.
- Reviewers mention that IBM Turbonomic's intuitive setup process is a significant advantage, with many users highlighting how easy it is to implement and start using the software. This ease of onboarding can be crucial for teams looking to minimize downtime during the transition to a new monitoring solution.
- According to verified reviews, Datadog's powerful visualization tools are a standout feature, enabling users to create real-time dashboards that make it easy to track performance and identify trends. This capability is particularly beneficial for teams that rely on data-driven decision-making.
- G2 reviewers report that while both products have similar star ratings, IBM Turbonomic has a higher quality of support score, with users praising the responsiveness and helpfulness of the support team. This can be a deciding factor for organizations that prioritize customer service in their software choices.
- Users say that Datadog's integration capabilities with various platforms, including AWS and Azure, make it a versatile choice for teams working in multi-cloud environments. This flexibility allows organizations to leverage Datadog across different systems, enhancing its utility as a monitoring solution.
Pricing
Entry-Level Pricing
Datadog
Free
$0
Per host, per month
Core collection and visualization features
- Discussion Group Supported
- 1-Day Metric Retention
- Up to 5 Hosts
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
Datadog
Free Trial is available
IBM Turbonomic
Free Trial is available
Ratings
Meets Requirements
8.8
519
8.8
220
Ease of Use
8.2
620
8.4
229
Ease of Setup
8.3
386
8.3
183
Ease of Admin
8.3
233
8.5
142
Quality of Support
8.3
461
8.9
194
Has the product been a good partner in doing business?
8.5
219
8.9
141
Product Direction (% positive)
9.0
503
8.7
211
Features by Category
Operations
7.8
6
8.8
110
8.1
6
8.7
104
7.1
8
8.4
84
8.0
5
8.6
102
Cost Optimization
7.7
8
8.6
103
7.5
6
8.6
101
7.7
5
8.5
94
Administration
8.3
6
8.1
98
8.1
7
8.3
107
7.3
5
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
8.7
56
Not enough data
9.4
72
Not enough data
9.1
64
Not enough data
8.8
58
Not enough data
8.9
58
Not enough data
9.0
51
Not enough data
Agentic AI - Website Monitoring
7.3
5
Not enough data
7.3
5
Not enough data
8.3
5
Not enough data
7.3
5
Not enough data
7.3
5
Not enough data
7.3
5
Not enough data
7.3
5
Not enough data
Experience
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Agentic AI - Digital Experience Monitoring (DEM)
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
Management
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Performance
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
9.2
105
8.8
8
9.1
106
8.8
8
9.3
90
8.3
8
8.9
105
7.9
8
8.8
89
8.8
8
8.9
94
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
7.0
5
Not enough data
Functionality
9.2
53
Not enough data
9.3
58
Not enough data
8.2
44
Not enough data
8.5
46
Not enough data
Monitoring - Network Monitoring
9.3
5
Not enough data
9.0
5
Not enough data
9.3
5
Not enough data
Management
8.7
50
Not enough data
9.0
51
Not enough data
8.8
48
Not enough data
Analytics - Network Monitoring
9.0
5
Not enough data
9.0
5
Not enough data
Security - Network Monitoring
9.0
5
Not enough data
9.0
5
Not enough data
9.0
5
Not enough data
Network Performance - Network Monitoring
9.0
5
Not enough data
9.0
5
Not enough data
AI Automation - Network Monitoring
8.3
5
Not enough data
8.7
5
Not enough data
8.7
5
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
8.9
121
8.7
35
8.6
117
8.4
32
8.8
111
8.1
31
8.8
130
8.8
33
8.3
8
7.0
9
Administration
8.5
115
8.6
35
8.5
97
8.5
30
8.3
94
8.5
33
8.5
8
8.7
9
Analysis
8.5
113
7.9
34
8.9
122
7.9
34
Feature Not Available
8.3
34
Agentic AI - Cloud Infrastructure Monitoring
7.9
8
7.3
8
8.8
8
7.3
8
7.3
8
7.5
8
7.5
8
7.3
8
7.9
8
7.7
8
7.9
7
7.9
8
AI Automation - Cloud Infrastructure Monitoring
8.1
8
6.7
8
7.5
8
6.5
8
Automation
Feature Not Available
Not enough data
8.1
7
Not enough data
Feature Not Available
Not enough data
8.5
9
Not enough data
Functionality
8.7
10
Not enough data
8.0
10
Not enough data
8.0
9
Not enough data
9.2
10
Not enough data
Incident Management
8.6
12
Not enough data
9.2
12
Not enough data
9.0
12
Not enough data
Functionality
Not enough data
8.1
24
Not enough data
8.4
24
Not enough data
8.5
24
Management
Not enough data
8.7
23
Not enough data
Feature Not Available
Not enough data
8.7
26
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
9.1
16
8.5
19
8.5
17
8.5
16
9.4
21
8.8
17
Issue Resolution
9.0
19
Feature Not Available
9.1
16
8.9
19
Feature Not Available
9.0
23
Management
8.7
19
8.6
23
9.6
20
8.8
17
9.0
20
8.5
20
Generative AI
Not enough data
8.9
11
Not enough data
8.6
11
Agentic AI - AIOps Platforms
Not enough data
9.1
11
Not enough data
8.3
5
Not enough data
7.3
8
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
8.8
8
Not enough data
8.7
10
Visibility
8.9
95
Not enough data
8.9
92
Not enough data
8.8
83
Not enough data
Monitoring and Management
8.2
84
Not enough data
8.7
86
Not enough data
9.0
92
Not enough data
Agentic AI - Log Monitoring
7.6
9
Not enough data
7.2
9
Not enough data
8.1
9
Not enough data
7.2
9
Not enough data
8.0
9
Not enough data
7.6
9
Not enough data
7.6
9
Not enough data
Visibility
8.9
78
Not enough data
8.7
73
Not enough data
8.3
71
Not enough data
Monitoring and Management
8.4
71
Not enough data
7.6
66
Not enough data
8.4
68
Not enough data
9.0
72
Not enough data
8.8
67
Not enough data
8.3
72
Not enough data
Cloud environment support
8.1
62
Not enough data
8.0
59
Not enough data
Agentic AI - Server Monitoring
7.5
6
Not enough data
8.3
6
Not enough data
8.9
6
Not enough data
7.2
6
Not enough data
7.8
6
Not enough data
7.2
6
Not enough data
8.1
6
Not enough data
Functionality
8.7
49
8.5
9
8.8
50
8.9
9
9.1
58
8.1
9
7.9
42
7.8
9
Management
8.6
50
8.3
9
8.6
52
8.7
9
8.2
44
9.1
9
9.0
54
9.4
9
Agentic AI - Enterprise Monitoring
7.8
9
Not enough data
8.3
9
Not enough data
7.8
9
Not enough data
8.1
9
Not enough data
7.5
10
Not enough data
8.1
9
Not enough data
8.1
9
Not enough data
Data Sources
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Analytics
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Metrics
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Device Recognition
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Monitoring
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Provisioning
Not enough data
Not enough data
Not enough data
Not enough data
Feature Not Available
Not enough data
Feature Not Available
Not enough data
Data Preparation
8.6
66
|
Verified
Not enough data
8.5
64
|
Verified
Not enough data
8.0
62
|
Verified
Not enough data
7.9
63
|
Verified
Not enough data
Analysis
8.6
61
|
Verified
Not enough data
8.4
68
|
Verified
Not enough data
8.8
68
|
Verified
Not enough data
8.5
71
|
Verified
Not enough data
8.6
62
|
Verified
Not enough data
8.8
60
|
Verified
Not enough data
Visualization
8.9
75
|
Verified
Not enough data
8.7
63
|
Verified
Not enough data
Agentic AI - Log Analysis
7.8
6
Not enough data
7.8
6
Not enough data
8.9
6
Not enough data
7.8
6
Not enough data
8.1
6
Not enough data
7.5
6
Not enough data
7.8
6
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
Monitoring
8.6
113
Not enough data
8.9
106
Not enough data
8.9
118
Not enough data
7.3
99
Not enough data
8.4
105
Not enough data
Response
8.9
123
Not enough data
8.8
110
Not enough data
8.0
107
Not enough data
Agentic AI - Application Performance Monitoring (APM)
7.4
13
Not enough data
8.1
13
Not enough data
7.9
13
Not enough data
8.1
13
Not enough data
7.8
13
Not enough data
Performance
8.5
118
Not enough data
8.3
103
Not enough data
Functionality
8.5
106
Not enough data
8.1
96
Not enough data
Feature Not Available
Not enough data
8.5
112
Not enough data
Alerts management
8.7
43
7.7
8
8.0
45
7.3
8
8.6
47
8.0
9
Monitoring
8.6
39
8.1
9
9.1
41
8.1
9
8.7
43
8.7
9
9.0
38
Feature Not Available
Automation
8.2
38
7.1
8
8.4
36
7.3
8
Analysis
8.2
41
7.3
8
8.3
44
8.0
9
9.1
43
8.0
9
8.5
42
7.2
9
Issue Resolution
8.3
37
8.1
9
7.6
39
8.1
8
8.4
35
7.1
8
Generative AI
7.5
17
Not enough data
Agentic AI - IT Alerting
7.4
7
Not enough data
7.9
7
Not enough data
8.8
7
Not enough data
7.9
7
Not enough data
8.1
6
Not enough data
7.9
7
Not enough data
8.3
7
Not enough data
Data Management - Observability Pipeline
7.8
6
Not enough data
8.0
9
Not enough data
7.4
7
Not enough data
7.5
6
Not enough data
7.0
9
Not enough data
Performance - Observability Pipeline
6.7
8
Not enough data
8.1
9
Not enough data
7.0
9
Not enough data
AI - Observability Pipeline
6.4
7
Not enough data
6.1
6
Not enough data
6.7
6
Not enough data
Compliance - Observability Pipeline
6.9
6
Not enough data
6.1
6
Not enough data
Agentic AI - Observability Pipeline
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
8.3
10
Not enough data
8.8
8
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
8.7
9
Not enough data
9.0
10
Not enough data
8.8
8
Not enough data
Correlation & Root Cause Analysis - Observability
9.2
10
Not enough data
8.3
9
Not enough data
8.7
10
Not enough data
Scalability & Ecosystem Integration - Observability
9.3
9
Not enough data
8.5
8
Not enough data
AI Features - Observability
7.9
8
Not enough data
8.8
8
Not enough data
8.3
8
Not enough data
Response
Feature Not Available
Not enough data
Feature Not Available
Not enough data
Feature Not Available
Not enough data
7.9
48
Not enough data
Records
9.2
57
Not enough data
9.0
55
Not enough data
8.5
61
Not enough data
Management
9.3
60
Not enough data
8.4
53
Not enough data
Feature Not Available
Not enough data
Generative AI
7.1
13
Not enough data
7.9
13
Not enough data
Security Information and Event Management (SIEM)Hide 14 FeaturesShow 14 Features
8.8
15
Not enough data
Network Management
8.9
12
Not enough data
8.3
11
Not enough data
9.5
13
Not enough data
Incident Management
9.3
12
Not enough data
9.2
11
Not enough data
9.2
12
Not enough data
Security Intelligence
7.9
12
Not enough data
8.0
10
Not enough data
8.8
11
Not enough data
8.6
13
Not enough data
Agentic AI - Security Information and Event Management (SIEM)
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
Datadog and IBM Turbonomic are categorized as Enterprise Monitoring, AIOps Platforms, Database Monitoring, Cloud Infrastructure Monitoring, IT Alerting, Container Monitoring, and Cloud Cost Management
Unique Categories
Datadog is categorized as Observability Pipeline, Observability Software, Server Monitoring, Log Monitoring, Network Traffic Analysis (NTA), IoT Device Management Platforms, IoT Analytics Platforms, Website Monitoring, Log Analysis, Incident Response, Security Information and Event Management (SIEM), API Marketplace, Application Performance Monitoring (APM), Network Monitoring, and Digital Experience Monitoring (DEM)
IBM Turbonomic is categorized as Cloud Management Platforms, Data Center Infrastructure Management (DCIM), and Enterprise IT Management
Reviews
Reviewers' Company Size
Datadog
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
18.6%
Computer Software
17.8%
Financial Services
8.5%
Internet
4.1%
Computer & Network Security
3.4%
Other
47.6%
Information Technology and Services
18.7%
Computer Software
13.4%
Financial Services
5.6%
Telecommunications
5.2%
Computer & Network Security
4.9%
Other
52.2%
Alternatives
Discussions
What is the use of Datadog?
3 Comments
CJ
Datadog is a software platform that facilitates data sharing across various teams within an organization, thereby breaking down silos between development,...Read more
Does Datadog use AWS?
2 Comments
IG
Yes, the backbone of Datadog infrastructure is sitting within AWS.Read more
Does it preserves history of logs?
1 Comment
AN
Depends on your plan, log retention can be 7,15, 30 days etc, for long term you need to setup s3 archivingRead more
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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