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Datadog vs Monte Carlo comparison

 

Comparison Buyer's Guide

Executive Summary

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Categories and Ranking

Datadog
Average Rating
8.6
Reviews Sentiment
7.0
Number of Reviews
210
Ranking in other categories
Application Performance Monitoring (APM) and Observability (1st), Network Monitoring Software (4th), IT Infrastructure Monitoring (2nd), Log Management (4th), Container Monitoring (3rd), Cloud Monitoring Software (1st), AIOps (1st), Cloud Security Posture Management (CSPM) (5th), AI Observability (1st)
Monte Carlo
Average Rating
9.0
Reviews Sentiment
6.3
Number of Reviews
1
Ranking in other categories
Data Quality (30th), Data Observability (2nd)
 

Mindshare comparison

Datadog and Monte Carlo aren’t in the same category and serve different purposes. Datadog is designed for Cloud Monitoring Software and holds a mindshare of 5.8%, down 10.1% compared to last year.
Monte Carlo, on the other hand, focuses on Data Observability, holds 25.7% mindshare, down 33.2% since last year.
Cloud Monitoring Software Mindshare Distribution
ProductMindshare (%)
Datadog5.8%
Zabbix7.2%
PRTG Network Monitor4.5%
Other82.5%
Cloud Monitoring Software
Data Observability Mindshare Distribution
ProductMindshare (%)
Monte Carlo25.7%
Unravel Data15.4%
Acceldata11.3%
Other47.599999999999994%
Data Observability
 

Featured Reviews

Dhroov Patel - PeerSpot reviewer
Site Reliability Engineer at Grainger
Has improved incident response with better root cause visibility and supports flexible on-call scheduling
Datadog needs to introduce more hard limits to cost. If we see a huge log spike, administrators should have more control over what happens to save costs. If a service starts logging extensively, I want the ability to automatically direct that log into the cheapest log bucket. This should be the case with many offerings. If we're seeing too much APM, we need to be aware of it and able to stop it rather than having administrators reach out to specific teams. Datadog has become significantly slower over the last year. They could improve performance at the risk of slowing down feature work. More resources need to go into Fleet Automation because we face many problems with things such as the Ansible role to install Datadog in non-containerized hosts. We mainly want to see performance improvements, less time spent looking at costs, the ability to trust that costs will stay reasonable, and an easier way to manage our agents. It is such a powerful tool with much potential on the horizon, but cost control, performance, and agent management need improvement. The main issues are with the administrative side rather than the actual application.
PR
Associate Sr. Manager at Financial Insight Technology, Inc.
Provides centralized data observability features and has an easy-to-use user interface.
The product's initial setup is in a daily improvement stage, deploying new plugins for upstream and downstream resources. It takes 25 minutes to complete. The process involves integrating with third-party services for Single Sign-On (SSO). It requires only one executive for maintenance as it has easy-to-use navigation and user interface.

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"The technology itself is generally very useful and the interface is great."
"We have found that we're able to get in and out of troubleshooting issues much more rapidly, which in turn, of course, enables us to spend more time on our products."
"The most valuable aspect is for us to have everything in one place."
"The ease with which we can filter, use metrics, and give accounts to customers, then let the customer filter, set up metrics, and alerts. This has been a big win for us."
"Monitoring has been invaluable, and as we start to look to other products, bringing in logs and APM traces will create a full picture of what we need to do to resolve incidents."
"The most valuable features are the dashboards and the reporting."
"The UI, basically, is the most valuable aspect of the solution."
"We have hundreds of microservices, and knowing how top-level requests weave throughout all of them is invaluable."
"It makes organizing work easier based on its relevance to specific projects and teams."
 

Cons

"My experience with pricing, setup cost, and licensing is that it is really expensive."
"Logging is not a great experience."
"Datadog has a lot of documentation, but a lot of that documentation assumes you know how the service works, which can lead to confusion."
"I'm not sure if Datadog can monitor K8s deployments in real-time. For instance, being able to see a deployment step by step visually. This would be helpful if there were any incidents during the deployment."
"Sometimes it’s difficult to customize certain queries to find specific things, specifically with the logging solution."
"The pricing model hurts and forces us to work around the tool sometimes."
"Another issue that I have is with the search syntax, it could be simpler and it feels like there are too many ways to do the same things."
"The menu on the left is pretty dense (and I know it has to be). I never knew about the cmd+k functionality until recently. It would be helpful to offer more tips/cheat sheets to see handy shortcuts like that."
"For anomaly detection, the product provides only the last three weeks of data, while some competitors can analyze a more extended data history."
 

Pricing and Cost Advice

"The solution's pricing depends on project volume."
"It has always scaled for us. Cost scales up too, but that is not necessarily a bad thing. It's reasonable for what they're providing."
"The price is better than some competing products."
"It didn't scale well from the cost perspective. We had a custom package deal."
"My advice is to really keep an eye on your overage costs, as they can spiral really fast."
"I am not satisfied with its licensing. Its payment is based on the exported data, and there was an explosion of the data for three or four weeks. My customer was not alerted, and there was no way for them to see that there has been an explosion of data. They got a big invoice for one or two months. The pricing model of Datadog is based on the data. The customer was quite surprised about not being alerted about this explosion of data. They should provide some kind of alert when there is an increase in usage."
"Datadog does not provide any free plans to use the solution. When I start with a proof of concept it would be sensible to have a free plan to test the tool and check whether it fits the requirements of the project. Before the production stage, it is always good to have a free plan with some limited features, number of requests, or logs."
"They prefer monthly subscriptions."
"The product has moderate pricing."
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Top Industries

By visitors reading reviews
Financial Services Firm
14%
Computer Software Company
9%
Manufacturing Company
8%
Healthcare Company
6%
Financial Services Firm
10%
Computer Software Company
8%
Retailer
8%
Construction Company
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business82
Midsize Enterprise47
Large Enterprise100
No data available
 

Questions from the Community

Any advice about APM solutions?
There are many factors and we know little about your requirements (size of org, technology stack, management systems, the scope of implementation). Our goal was to consolidate APM and infra monitor...
Datadog vs ELK: which one is good in terms of performance, cost and efficiency?
With Datadog, we have near-live visibility across our entire platform. We have seen APM metrics impacted several times lately using the dashboards we have created with Datadog; they are very good c...
Which would you choose - Datadog or Dynatrace?
Our organization ran comparison tests to determine whether the Datadog or Dynatrace network monitoring software was the better fit for us. We decided to go with Dynatrace. Dynatrace offers network ...
What is your experience regarding pricing and costs for Monte Carlo?
My experience with pricing, setup cost, and licensing indicates that pricing is commensurate with the enterprise-grade observability. While initial setup, particularly tuning the monitors, demands ...
What needs improvement with Monte Carlo?
Some improvements I see for Monte Carlo include alert tuning and noise reduction, as other data quality tools offer that. While its anomaly detection is powerful, it sometimes generates alerts that...
What is your primary use case for Monte Carlo?
Our main use case for Monte Carlo is in the energy sector where it has been central to helping us ensure we have trusted and reliable data across our critical operational and business data pipeline...
 

Comparisons

 

Overview

 

Sample Customers

Adobe, Samsung, facebook, HP Cloud Services, Electronic Arts, salesforce, Stanford University, CiTRIX, Chef, zendesk, Hearst Magazines, Spotify, mercardo libre, Slashdot, Ziff Davis, PBS, MLS, The Motley Fool, Politico, Barneby's
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Find out what your peers are saying about Datadog, Zabbix, New Relic and others in Cloud Monitoring Software. Updated: April 2026.
893,244 professionals have used our research since 2012.