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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 flexibility to create notebooks and dashboards and fully customize them gives us a lot of power to track the exact services and endpoints we are working on."
"Datadog is far better than any other monitoring tool in introducing any of the new capabilities because they think before Amazon AWS and Microsoft Azure before they introduce the concepts."
"The most valuable aspect is the APM which can monitor the metrics and latencies."
"While my team is relatively new to Datadog, I already see immense value in switching over to Datadog as the primary APM and NPM tool."
"It has a high-level insight into the infrastructure model of the application and provides important detailed data on the host and metrics, which is the main concern of our customers."
"It has scaled great. I haven't run into any problems anywhere that I've used it. They have handled everything that we have needed them to."
"I like that you can build out a dashboard pretty quickly. There are some things that come out of the box that you don't really need to do, which is great because they're default settings."
"The pricing model makes more sense than what we paid for against other competitors."
"It makes organizing work easier based on its relevance to specific projects and teams."
 

Cons

"Datadog could always lower the price!"
"The product can be improved by allowing the grouping of APIs to add variables. That way, any API with a unique ID could be grouped together."
"At times, it can be hard to generate metrics out of logs."
"The incident management beta looks promising, but it is still missing the ability to automatically create incidents based on certain alerts."
"The issue with Datadog is that you have to buy the whole suite of different products, and you kind of get stuck in the old utilization of 40% of their suite."
"Customer support has been ok, yet not great. We've had ticket resolution drag on for weeks."
"One key improvement we would like to see in a future Datadog release is the inclusion of certain metrics that are currently unavailable. Specifically, the ability to monitor CPU and memory utilization of AWS-managed Airflow workers, schedulers, and web servers would be highly beneficial for our organization."
"There are things about it that we would like to be fixed, such as it is taking averages of average. This results in data that we don't expect."
"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

"It is easy to run up a large bill, so become familiar with the cost of each piece of your bill and use the metrics they supply to estimate and monitor your bill."
"​Pricing seems reasonable. It depends on the size of your organization, the size of your infrastructure, and what portion of your overall business costs go toward infrastructure."
"The pricing and licensing through AWS Marketplace has been good. It would be nice if it was cheaper, but their pricing is reasonable for what it is. Sometimes, for their newer features, they charge as if it's fully fleshed out, even though it is a newer feature and it may have less stuff than their other items."
"Pricing seemed easy until the bill came in and some things were not accounted for."
"Licensing is based on the retention period of logs and metrics."
"My advice is to really keep an eye on your overage costs, as they can spiral really fast."
"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."
"It costs the same amount it would if we were hosting it ourselves, so we are incredibly happy with the cost."
"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.