Introducing G2.ai, the future of software buying.Try now
Compare Datadog and Monte Carlo 
At a Glance
Market Segments
Mid-Market (46.7% of reviews)
Enterprise (50.0% of reviews)
Entry-Level Pricing
$0 Per host, per month
Contact Us
Datadog
Star Rating
(630)4.4 out of 5
Market Segments
Mid-Market (46.7% of reviews)
Entry-Level Pricing
$0 Per host, per month
Free Trial is available
Browse all 3 pricing plansMonte Carlo
Star Rating
(406)4.4 out of 5
Market Segments
Enterprise (50.0% of reviews)
Entry-Level Pricing
Contact Us
Browse all 3 pricing plansSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that Datadog excels in monitoring capabilities, with a score of 9.2, particularly highlighting its comprehensive integration with various cloud services and the ability to track performance metrics in real-time. In contrast, Monte Carlo, while still strong at 9.0, is noted for its focus on data reliability monitoring, which some users feel is more niche.
- Reviewers mention that Datadog's logging features are superior, scoring 9.3 compared to Monte Carlo's 7.8. Users appreciate Datadog's ability to aggregate logs from multiple sources seamlessly, making troubleshooting more efficient, whereas Monte Carlo's logging capabilities are seen as less robust.
- Users on G2 highlight that Datadog's alerting system, rated at 9.0, is highly customizable and effective, allowing teams to set specific thresholds and receive timely notifications. Monte Carlo, with a score of 8.8, offers alerting features but is perceived as less flexible in terms of customization options.
- Reviewers say that Datadog's data visualization tools, scoring 8.9, provide intuitive dashboards that are easy to customize, enabling users to create visual representations of their data quickly. Monte Carlo, on the other hand, scores lower at 7.5, with users mentioning that its visualization options are more limited and less user-friendly.
- Users report that the quality of support from Monte Carlo is exceptional, with a score of 9.0, often citing responsive customer service and helpful resources. Datadog, while still strong at 8.3, has received feedback indicating that response times can vary, leading to some frustration among users.
- G2 users mention that both products have a positive product direction, each scoring 8.9, but Datadog's frequent updates and feature enhancements are often highlighted as a key advantage, keeping it aligned with user needs. Monte Carlo's updates are appreciated but perceived as less frequent, leading to a sense of stagnation among some users.
Featured Products
Sponsored
EventSentry
(40)
Data Quality
Visit Website
Sponsored
Finout
(64)
Data Quality
Visit Website
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
8.7
478
8.3
381
Ease of Use
8.2
558
8.2
388
Ease of Setup
8.3
328
8.3
254
Ease of Admin
8.3
214
8.6
142
Quality of Support
8.3
425
9.0
341
Has the product been a good partner in doing business?
8.5
201
9.4
143
Product Direction (% positive)
8.9
463
8.9
377
Features by Category
Operations
7.3
5
Not enough data
8.0
5
Not enough data
6.7
7
Not enough data
Not enough data
Not enough data
Cost Optimization
7.6
7
Not enough data
7.3
5
Not enough data
Not enough data
Not enough data
Administration
8.0
5
Not enough data
7.8
6
Not enough data
Not enough data
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
48
Not enough data
9.3
62
Not enough data
9.0
56
Not enough data
8.8
49
Not enough data
8.9
51
Not enough data
8.9
44
Not enough data
Agentic AI - Website 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
Functionality
9.2
99
9.0
246
9.0
100
8.8
245
9.3
85
7.8
225
8.9
100
8.3
233
8.8
84
7.7
229
8.9
89
7.5
230
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
Functionality
9.2
48
Not enough data
9.2
53
Not enough data
8.1
39
Not enough data
8.5
41
Not enough data
Monitoring - Network Monitoring
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Management
8.6
45
Not enough data
9.0
46
Not enough data
8.8
43
Not enough data
Analytics - Network Monitoring
Not enough data
Not enough data
Not enough data
Not enough data
Security - Network Monitoring
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Network Performance - Network Monitoring
Not enough data
Not enough data
Not enough data
Not enough data
AI Automation - Network Monitoring
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
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
114
Not enough data
8.6
110
Not enough data
8.8
105
Not enough data
8.7
124
Not enough data
Not enough data
Not enough data
Administration
8.5
109
Not enough data
8.5
89
Not enough data
8.3
88
Not enough data
Not enough data
Not enough data
Analysis
8.5
107
Not enough data
8.8
112
Not enough data
Feature Not Available
Not enough data
Agentic AI - Cloud Infrastructure 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
AI Automation - Cloud Infrastructure Monitoring
Not enough data
Not enough data
Not enough data
Not enough data
Automation
Feature Not Available
Not enough data
8.1
6
Not enough data
Feature Not Available
Not enough data
8.5
8
Not enough data
Functionality
8.7
9
Not enough data
7.8
9
Not enough data
7.7
8
Not enough data
9.1
9
Not enough data
Incident Management
8.5
11
Not enough data
9.1
11
Not enough data
8.9
11
Not enough data
Functionality
9.0
15
Not enough data
8.4
16
Not enough data
9.3
20
Not enough data
Issue Resolution
9.0
18
Not enough data
9.0
15
Not enough data
Feature Not Available
Not enough data
Management
8.6
18
Not enough data
9.5
18
Not enough data
8.9
18
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
8.8
80
Not enough data
9.0
79
Not enough data
8.8
73
Not enough data
Monitoring and Management
8.3
75
Not enough data
8.7
77
Not enough data
9.0
81
Not enough data
Agentic AI - Log 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
Visibility
8.8
71
Not enough data
8.6
65
Not enough data
8.2
63
Not enough data
Monitoring and Management
8.4
64
Not enough data
7.6
59
Not enough data
8.3
61
Not enough data
9.0
64
Not enough data
8.7
60
Not enough data
8.3
65
Not enough data
Cloud environment support
8.1
57
Not enough data
7.9
54
Not enough data
Agentic AI - Server 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
Functionality
8.4
36
Not enough data
8.6
36
Not enough data
8.8
38
Not enough data
7.8
32
Not enough data
Management
8.4
35
Not enough data
8.6
38
Not enough data
8.1
35
Not enough data
9.0
40
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 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
8.5
58
|
Verified
Not enough data
8.5
57
|
Verified
Not enough data
7.8
55
|
Verified
Not enough data
7.8
55
|
Verified
Not enough data
Analysis
8.6
53
|
Verified
Not enough data
8.4
60
|
Verified
Not enough data
8.7
61
|
Verified
Not enough data
8.5
64
|
Verified
Not enough data
8.6
54
|
Verified
Not enough data
8.7
52
|
Verified
Not enough data
Visualization
8.9
66
|
Verified
Not enough data
8.7
56
|
Verified
Not enough data
Agentic AI - Log Analysis
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
8.6
102
Not enough data
8.9
94
Not enough data
8.9
104
Not enough data
7.3
89
Not enough data
8.5
95
Not enough data
Response
8.8
112
Not enough data
8.8
99
Not enough data
8.0
92
Not enough data
Agentic AI - Application Performance Monitoring (APM)
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
8.5
106
Not enough data
8.2
92
Not enough data
Functionality
8.5
94
Not enough data
8.0
86
Not enough data
Feature Not Available
Not enough data
8.5
101
Not enough data
Data Management
Not enough data
8.6
46
Not enough data
8.6
42
Not enough data
8.7
46
Not enough data
7.9
44
Agentic AI - DataOps 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
Analytics
Not enough data
7.8
44
Not enough data
7.7
42
Monitoring and Management
Not enough data
9.2
47
Not enough data
7.7
43
Cloud Deployment
Not enough data
7.5
38
Not enough data
7.0
36
Generative AI
Not enough data
6.3
29
Not enough data
6.1
29
Alerts management
8.7
39
Not enough data
8.0
41
Not enough data
8.6
43
Not enough data
Monitoring
8.6
34
Not enough data
9.1
37
Not enough data
8.7
39
Not enough data
9.1
34
Not enough data
Automation
8.4
34
Not enough data
8.6
32
Not enough data
Analysis
8.2
37
Not enough data
8.4
40
Not enough data
9.2
39
Not enough data
8.5
38
Not enough data
Issue Resolution
8.3
33
Not enough data
7.6
36
Not enough data
8.5
31
Not enough data
Functionality
Not enough data
7.3
259
Not enough data
8.8
282
Not enough data
8.1
265
Not enough data
8.1
268
Management
Not enough data
8.7
278
Not enough data
7.8
256
Not enough data
8.2
270
Not enough data
8.0
273
Not enough data
8.2
275
Generative AI
Not enough data
5.9
204
Agentic AI - Data Observability
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
Generative AI
7.3
11
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
Data Management - Observability Pipeline
Not enough data
Not enough data
7.4
7
Not enough data
6.7
5
Not enough data
Not enough data
Not enough data
6.4
7
Not enough data
Performance - Observability Pipeline
5.8
6
Not enough data
8.1
7
Not enough data
6.9
7
Not enough data
AI - Observability Pipeline
6.0
5
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Compliance - Observability Pipeline
Not enough data
Not enough data
Not enough data
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
Not enough data
Not enough data
Not enough data
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
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Correlation & Root Cause Analysis - Observability
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Scalability & Ecosystem Integration - Observability
Not enough data
Not enough data
Not enough data
Not enough data
AI Features - Observability
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Response
Feature Not Available
Not enough data
Feature Not Available
Not enough data
Feature Not Available
Not enough data
7.9
42
Not enough data
Records
9.2
49
Not enough data
8.9
47
Not enough data
8.5
54
Not enough data
Management
9.2
50
Not enough data
8.4
46
Not enough data
Feature Not Available
Not enough data
Generative AI
7.2
9
Not enough data
7.8
9
Not enough data
Security Information and Event Management (SIEM)Hide 14 FeaturesShow 14 Features
8.9
13
Not enough data
Network Management
9.2
10
Not enough data
8.7
10
Not enough data
9.4
11
Not enough data
Incident Management
9.2
11
Not enough data
9.2
10
Not enough data
9.1
11
Not enough data
Security Intelligence
8.2
11
Not enough data
8.3
9
Not enough data
9.2
10
Not enough data
8.8
12
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
153
Not enough data
6.4
148
Not enough data
6.7
143
Not enough data
6.0
138
Not enough data
6.4
139
Management
Not enough data
7.2
141
Not enough data
7.5
142
Not enough data
7.9
141
Not enough data
7.4
146
Not enough data
7.5
141
Generative AI
Not enough data
5.3
121
Not enough data
5.3
120
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, and Cloud Cost Management
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
19.1%
Computer Software
16.8%
Financial Services
8.9%
Internet
4.5%
Retail
3.1%
Other
47.7%
Financial Services
13.7%
Information Technology and Services
11.4%
Computer Software
11.2%
Pharmaceuticals
3.7%
Online Media
3.5%
Other
56.5%
Most Helpful Reviews
Datadog
Most Helpful Favorable Review
Debabrata P.
Verified User in Information Technology and Services
With datadog you can quickly get up and running. May be the easiest among all out there. Since it enables you to put everything into one dashboard irrespective of their zone,VPC or environment type we can have one bookmarked place to look at for the first...
Most Helpful Critical Review
Verified User in Computer Software
As described in the previous section, the lack of support resulting in us not being able to resolve a deployment mistake and resulting billing issue.
Monte Carlo
Most Helpful Favorable Review
Ethan C.
Verified User in Logistics and Supply Chain
Custom alerts allow users complete flexibility in what they would like to monitor. Their integration with Slack allows us to know when a problem occurs without checking the dashboard constantly. The product team actually listens to feedback and takes...
Most Helpful Critical Review
Verified User in Computer Software
Completeness checks need to be improved. Alerts with new message after creating incidents is not currently supported. Some of the search option for filters in the UI for assets doesn't work often
Debabrata P.
Verified User in Information Technology and Services
With datadog you can quickly get up and running. May be the easiest among all out there. Since it enables you to put everything into one dashboard irrespective of their zone,VPC or environment type we can have one bookmarked place to look at for the first...
Ethan C.
Verified User in Logistics and Supply Chain
Custom alerts allow users complete flexibility in what they would like to monitor. Their integration with Slack allows us to know when a problem occurs without checking the dashboard constantly. The product team actually listens to feedback and takes...
Verified User in Computer Software
As described in the previous section, the lack of support resulting in us not being able to resolve a deployment mistake and resulting billing issue.
Verified User in Computer Software
Completeness checks need to be improved. Alerts with new message after creating incidents is not currently supported. Some of the search option for filters in the UI for assets doesn't work often
Discussions
Does Datadog use AWS?
2 comments
IG
Yes, the backbone of Datadog infrastructure is sitting within AWS.Read more
What is the use of Datadog?
2 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 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
Hunting for software insights?
With over 2.5 million reviews, we can provide the specific details that help you make an informed software buying decision for your business. Finding the right product is important, let us help.
