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Compare Datadog and Monte Carlo 
Featured Products
At a Glance
Market Segments
Mid-Market (47.3% of reviews)
Enterprise (50.7% of reviews)
Entry-Level Pricing
$0 Per host, per month
Contact Us
Datadog
Star Rating
(690)4.4 out of 5
Market Segments
Mid-Market (47.3% of reviews)
Pros & Cons
Entry-Level Pricing
$0 Per host, per month
Free Trial is available
Browse all 3 pricing plansMonte Carlo
Star Rating
(488)4.3 out of 5
Market Segments
Enterprise (50.7% of reviews)
Pros & Cons
Entry-Level Pricing
Contact Us
Browse all 3 pricing plansSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- G2 reviewers report that Datadog excels in providing a comprehensive view of system performance, with users appreciating its ability to consolidate logs, metrics, traces, and real-time alerts into a single, intuitive platform. This integration helps teams quickly identify issues without switching between multiple tools.
- Users say that Monte Carlo stands out for its focus on data quality, with features like model lineage and real-time alerts that enhance awareness of data issues. Reviewers highlight that this capability is invaluable for data teams, allowing them to track and resolve problems effectively.
- Reviewers mention that Datadog's implementation process is notably quick and user-friendly, with many praising the intuitive onboarding wizard that simplifies setup. This ease of use is a significant advantage for teams looking to get up and running without extensive delays.
- According to verified reviews, Monte Carlo's user interface is described as friendly and informative, making it easier for users to hunt down missing data or bugs. This focus on usability is particularly beneficial for teams that prioritize data integrity and quality.
- G2 reviewers highlight that while Datadog offers robust monitoring and alerting capabilities, some users feel it could improve in specific areas like customization to better fit unique workflows. This feedback suggests that while the platform is powerful, it may require some adjustments to meet all user needs.
- Users report that Monte Carlo's support quality is highly rated, with many noting that the team is responsive and helpful. This level of support can be a deciding factor for organizations that need reliable assistance as they navigate data challenges.
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
Monte Carlo
Start
Contact Us
All you need to make data reliable for one team
- Monitoring for Data Warehouse, Business Intelligence, ETL
- Incident triaging, troubleshooting and root cause analysis
- Lineage
Free Trial
Datadog
Free Trial is available
Monte Carlo
No trial information availableRatings
Meets Requirements
8.8
513
8.3
447
Ease of Use
8.2
614
8.2
454
Ease of Setup
8.3
380
8.2
319
Ease of Admin
8.3
231
8.5
161
Quality of Support
8.3
457
9.0
401
Has the product been a good partner in doing business?
8.5
218
9.2
164
Product Direction (% positive)
9.0
498
8.9
444
Features by Category
Operations
7.8
6
Not enough data
8.1
6
Not enough data
7.1
8
Not enough data
8.0
5
Not enough data
Cost Optimization
7.7
8
Not enough data
7.5
6
Not enough data
7.7
5
Not enough data
Administration
8.3
6
Not enough data
8.1
7
Not enough data
7.3
5
Not enough data
Agentic AI - Cloud Cost Management
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Functionality
8.7
55
Not enough data
9.3
71
Not enough data
9.1
63
Not enough data
8.8
57
Not enough data
8.9
57
Not enough data
9.0
50
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
104
9.0
260
9.1
105
8.8
261
9.3
89
7.8
237
8.9
104
8.3
246
8.8
88
7.7
241
8.9
93
7.4
243
Agentic AI - Database Monitoring
Not enough data
7.1
13
Not enough data
6.9
13
Not enough data
6.9
13
Not enough data
7.1
13
Not enough data
6.8
12
Not enough data
6.5
13
Not enough data
7.1
13
Functionality
9.2
52
Not enough data
9.3
57
Not enough data
8.2
43
Not enough data
8.5
45
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
49
Not enough data
9.0
50
Not enough data
8.8
47
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
120
Not enough data
8.6
116
Not enough data
8.8
110
Not enough data
8.8
130
Not enough data
8.3
7
Not enough data
Administration
8.5
114
Not enough data
8.5
96
Not enough data
8.3
93
Not enough data
8.6
7
Not enough data
Analysis
8.5
112
Not enough data
8.9
121
Not enough data
Feature Not Available
Not enough data
Agentic AI - Cloud Infrastructure Monitoring
7.9
8
Not enough data
8.8
8
Not enough data
7.3
8
Not enough data
7.5
8
Not enough data
7.9
8
Not enough data
7.9
7
Not enough data
AI Automation - Cloud Infrastructure Monitoring
8.1
7
Not enough data
7.4
7
Not enough data
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
9.1
16
Not enough data
8.5
17
Not enough data
9.4
21
Not enough data
Issue Resolution
9.0
19
Not enough data
9.1
16
Not enough data
Feature Not Available
Not enough data
Management
8.7
19
Not enough data
9.6
19
Not enough data
8.9
19
Not enough data
Generative AI
Not enough data
Not enough data
Not enough data
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
8.9
93
Not enough data
8.9
91
Not enough data
8.8
81
Not enough data
Monitoring and Management
8.2
83
Not enough data
8.6
85
Not enough data
9.0
91
Not enough data
Agentic AI - Log Monitoring
7.3
8
Not enough data
7.1
8
Not enough data
8.1
8
Not enough data
7.3
8
Not enough data
7.9
8
Not enough data
7.3
8
Not enough data
7.5
8
Not enough data
Visibility
8.9
77
Not enough data
8.6
72
Not enough data
8.2
70
Not enough data
Monitoring and Management
8.4
70
Not enough data
7.6
65
Not enough data
8.4
67
Not enough data
9.0
71
Not enough data
8.8
66
Not enough data
8.3
71
Not enough data
Cloud environment support
8.1
62
Not enough data
8.0
59
Not enough data
Agentic AI - Server Monitoring
7.7
5
Not enough data
8.0
5
Not enough data
9.0
5
Not enough data
7.0
5
Not enough data
7.3
5
Not enough data
7.0
5
Not enough data
7.7
5
Not enough data
Functionality
8.7
47
Not enough data
8.8
49
Not enough data
9.0
54
Not enough data
7.9
42
Not enough data
Management
8.6
48
Not enough data
8.6
52
Not enough data
8.2
44
Not enough data
9.0
52
Not enough data
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
65
|
Verified
Not enough data
8.4
63
|
Verified
Not enough data
8.0
61
|
Verified
Not enough data
7.9
62
|
Verified
Not enough data
Analysis
8.6
60
|
Verified
Not enough data
8.4
67
|
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
8.7
59
|
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
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
Data Management
Not enough data
8.6
52
Not enough data
8.5
48
Not enough data
8.6
52
Not enough data
7.9
50
Agentic AI - DataOps Platforms
Not enough data
7.6
7
Not enough data
6.7
6
Not enough data
6.9
6
Not enough data
6.9
6
Not enough data
6.9
6
Analytics
Not enough data
7.9
51
Not enough data
7.7
48
Monitoring and Management
Not enough data
9.2
56
Not enough data
7.7
49
Cloud Deployment
Not enough data
7.5
44
Not enough data
7.1
42
Generative AI
Not enough data
6.3
35
Not enough data
6.2
35
Alerts management
8.7
43
Not enough data
8.0
45
Not enough data
8.6
47
Not enough data
Monitoring
8.6
39
Not enough data
9.1
41
Not enough data
8.7
43
Not enough data
9.0
38
Not enough data
Automation
8.2
38
Not enough data
8.4
36
Not enough data
Analysis
8.2
41
Not enough data
8.3
44
Not enough data
9.1
43
Not enough data
8.5
42
Not enough data
Issue Resolution
8.3
37
Not enough data
7.6
39
Not enough data
8.4
35
Not enough data
Functionality
Not enough data
7.4
292
Not enough data
8.8
330
Not enough data
8.1
297
Not enough data
8.0
305
Management
Not enough data
8.7
327
Not enough data
7.7
286
Not enough data
8.3
319
Not enough data
8.0
310
Not enough data
8.1
313
Generative AI
Not enough data
5.8
232
Agentic AI - Data Observability
Not enough data
6.3
28
Not enough data
6.4
28
Not enough data
6.8
28
Not enough data
6.4
26
Not enough data
6.8
30
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
47
Not enough data
Records
9.2
55
Not enough data
8.9
53
Not enough data
8.5
60
Not enough data
Management
9.3
58
Not enough data
8.4
52
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
14
Not enough data
Network Management
8.8
11
Not enough data
8.3
11
Not enough data
9.4
12
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
Functionality
Not enough data
8.1
189
Not enough data
6.5
175
Not enough data
6.7
169
Not enough data
6.1
164
Not enough data
6.5
166
Management
Not enough data
7.2
169
Not enough data
7.5
169
Not enough data
8.0
169
Not enough data
7.4
176
Not enough data
7.5
169
Generative AI
Not enough data
5.2
145
Not enough data
5.3
145
Categories
Categories
Shared Categories
Datadog and Monte Carlo are categorized as Database Monitoring
Unique Categories
Datadog is categorized as Observability Pipeline, Observability Software, Enterprise Monitoring, Server Monitoring, Log Monitoring, AIOps Platforms, Network Traffic Analysis (NTA), IoT Device Management Platforms, IoT Analytics Platforms, Website Monitoring, Cloud Infrastructure Monitoring, IT Alerting, Container Monitoring, Log Analysis, Incident Response, Security Information and Event Management (SIEM), API Marketplace, Application Performance Monitoring (APM), Network Monitoring, Cloud Cost Management, and Digital Experience Monitoring (DEM)
Reviews
Reviewers' Company Size
Datadog
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Monte Carlo
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
18.8%
Computer Software
17.6%
Financial Services
8.6%
Internet
4.1%
Computer & Network Security
3.1%
Other
47.7%
Financial Services
13.9%
Information Technology and Services
11.5%
Computer Software
11.3%
Marketing and Advertising
3.6%
Manufacturing
3.4%
Other
56.3%
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
What is Monte Carlo software?
1 Comment
MV
Monte Carlo is a fully automated, end-to-end data observability platform that helps data engineering teams reduce time to detection and resolution for data...Read more
Monte Carlo has no more discussions with answers
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