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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
209
Ranking in other categories
Application Performance Monitoring (APM) and Observability (1st), Network Monitoring Software (3rd), IT Infrastructure Monitoring (2nd), Log Management (4th), Container Monitoring (1st), 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 (27th), Data Observability (1st)
 

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 6.3%, down 10.8% compared to last year.
Monte Carlo, on the other hand, focuses on Data Observability, holds 27.6% mindshare, down 34.2% since last year.
Cloud Monitoring Software Mindshare Distribution
ProductMindshare (%)
Datadog6.3%
Zabbix8.5%
PRTG Network Monitor5.1%
Other80.1%
Cloud Monitoring Software
Data Observability Mindshare Distribution
ProductMindshare (%)
Monte Carlo27.6%
Unravel Data16.1%
Acceldata12.7%
Other43.599999999999994%
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

"Each component complements the other, creating a cohesive system where data, logs, and metrics are seamlessly integrated."
"Watchdog is a favorite feature among a lot of the devs. It catches things they didn't even know were an issue."
"The integration into AWS is key as well as our software is currently bound to AWS."
"Using the data, our operation teams works with the dashboards to get their statistics, analytics, etc."
"Datadog has helped us a ton by allowing us to set up a multitude of easily configurable alarms across our tech stack and infrastructure."
"This spectrum of solutions has allowed us to track down bugs faster and more rapidly, which allows us to limit revenue lost during downtime."
"Log analytics give us a powerful mechanism for error tracking, research, and analysis."
"I like the amount of tooling and the number of solutions they sold with their monitoring. Datadog was highly intuitive to use."
"It makes organizing work easier based on its relevance to specific projects and teams."
 

Cons

"The installation is easy for me. However, if you are new to this solution it might not be so easy."
"There should be a clearer view of the expenses."
"When I started using it years ago, it had stability problems. I remember, specifically, we ran everything in Docker containers."
"We had limitations around RUM and our feature flag provider in Datadog because it's a back-end forward feature flag usage in our Next.js application."
"The solution should provide alerts for cloud outages."
"Lacks some flexibility in the customization."
"As a new customer, the Datadog user interface is a bit daunting."
"They could enhance the alerting functions by creating a new feature to add direct SMS notifications, on-call rotation scheduling, etc., that could replace the need to have this as an external third-party solution integration."
"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

"Our licensing fees are paid on a monthly basis."
"It costs the same amount it would if we were hosting it ourselves, so we are incredibly happy with the cost."
"Pricing and licensing are reasonable for what they give you. You get the first five hosts free, which is fun to play around with. Then it's about four dollars a month per host, which is very affordable for what you get out of it. We have a lot of hosts that we put a lot of custom metrics into, and every host gives you an allowance for the number of custom metrics."
"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."
"Sometimes it's very hard to project how much it will cost for the monthly subscription for the next month when you add certain features. Having better visibility of the cost would give a better experience."
"They prefer monthly subscriptions."
"The solution's pricing depends on project volume."
"Pricing is somewhat affordable compared to other solutions but in order to really lower the costs of other products you need to plan very carefully your resources usage, otherwise, it can get expensive real quick."
"The product has moderate pricing."
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Top Industries

By visitors reading reviews
Financial Services Firm
14%
Computer Software Company
10%
Manufacturing Company
8%
Healthcare Company
6%
Computer Software Company
11%
Financial Services Firm
10%
Retailer
8%
Manufacturing Company
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business81
Midsize Enterprise46
Large Enterprise99
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, Auvik and others in Cloud Monitoring Software. Updated: March 2026.
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