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Dynatrace 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

Dynatrace
Average Rating
8.8
Reviews Sentiment
7.0
Number of Reviews
359
Ranking in other categories
Application Performance Monitoring (APM) and Observability (2nd), Log Management (5th), Mobile APM (2nd), Container Monitoring (2nd), AIOps (2nd), AI Observability (3rd)
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

Dynatrace and Monte Carlo aren’t in the same category and serve different purposes. Dynatrace is designed for Application Performance Monitoring (APM) and Observability and holds a mindshare of 6.0%, down 11.3% compared to last year.
Monte Carlo, on the other hand, focuses on Data Observability, holds 27.6% mindshare, down 34.2% since last year.
Application Performance Monitoring (APM) and Observability Mindshare Distribution
ProductMindshare (%)
Dynatrace6.0%
Datadog5.2%
New Relic4.0%
Other84.8%
Application Performance Monitoring (APM) and Observability
Data Observability Mindshare Distribution
ProductMindshare (%)
Monte Carlo27.6%
Unravel Data16.1%
Acceldata12.7%
Other43.599999999999994%
Data Observability
 

Featured Reviews

Manish Indupuri - PeerSpot reviewer
senior DevOps engineer at a tech services company with 10,001+ employees
AI-driven insights have reduced downtime and improved cross-team collaboration
We encountered some challenges while using Dynatrace. Although the initial setup was smooth, fine-tuning alert thresholds and custom metrics took some time. Another challenge was that Dynatrace charges based on host units, so we had to carefully plan our agent deployments. The licensing model is expensive. Additionally, the complexity of setup is an issue. While OneAgent and auto-discover services are powerful, the setup is more complex compared to other tools such as Prometheus and Grafana. These integrations are simple and basic, but Dynatrace setup requires more complexity based on the environment. For new users wanting to use Dynatrace, it is difficult. However, the AI-related solutions and metrics took us to the next level for identifying and fixing things. Dynatrace requires an agent for operation. OneAgent is powerful, but it is also resource-heavy. On lightweight nodes or older systems, the agent can slightly impact performance. If Dynatrace could implement a lightweight agent behavior, we could make things faster. Additionally, if Dynatrace could add a long-term retention policy so that we could store more data and find fine-grained details, that would help us. While Dynatrace managed edition supports on-premises deployment, the SaaS version depends on cloud connectivity. For highly regulated or air-gapped environments, setup and updates can be challenging. Although the initial setup is smooth, if someone wants to fine-tune it and fully understand the tool end-to-end, it could be tricky.
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

"One aspect of development is the concept of continuous improvements. There are key screens in our applications. We get identification, through Dynatrace on its own, that these are our top ten slow preforming screens."
"We are using it on most of our platforms, which are on a big scale and across the globe."
"The AppMon solution helped the operations guys to pinpoint one problem area and call the specific group, instead of everyone. The mean time to repair and the resource utilization time, they are totally reduced."
"Dynatrace's documentation is great. I love the university."
"Dynatrace helps us to improve overall performance and allows us to detect the root cause of an outbreak on our systems."
"It is a 100 percent stable solution...Dynatrace is a highly scalable product since it is a SaaS-based application."
"It has helped us deliver better solutions to our end customers, and helps them in their digital transformation journey."
"The benefits we receive using this tool increase productivity, which increase revenue for the state."
"It makes organizing work easier based on its relevance to specific projects and teams."
 

Cons

"This solution needs improvement in terms of automation."
"Where we are struggling is being able to pull that information out and combine it with other contextual information that we have in other sources. Mining that data in a big-data environment, and joining it together and coming up with larger types of analysis on it."
"It would be nice to have a simplified monitoring feature for non-Java applications."
"It would be good to extend the visibility to cover more infrastructure monitoring capabilities and more network performance capabilities."
"Improvements are needed in the navigation and timeframe selection when browsing problems."
"They should include more mission learning into the product and provide additional performance metrics for application learning."
"Right now, the whole analysis part that we are doing is manually. Therefore, if we can implement the analysis part in an AI, it would definitely help to find the root cause quickly and retrieve customers' problem within minutes."
"Either use less system resources and be faster or use more resources to pre-compute the PurePath on recent X minutes of data."
"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

"Dynatrace is an expensive solution."
"We found a tool that can be utilized by testing, DevOps, marketing, software engineering, and monitoring. Before, we always had everybody doing their own thing. Now, everybody's utilizing one tool, which is huge. That is a huge savings."
"I have not been able to observe more than 1% overhead, despite Dynatrace saying that it can be slightly higher in some situations."
"They could improve their price ranges, as there is no option for startups or testing."
"The pricing is a bit on the higher end."
"From what I have heard in the company, Dynatrace is expensive."
"Our annual costs were about the same for both AppDynamics and Dynatrace."
"I would like to see them improve on their licensing and the cost. It's been a challenge for us because the way they have it broken out right now, you have to buy it by units. It's hard for us to know where to put those units because our company is broken up into all these different business units, so it's been challenging in that sense. I just would like to see them improve that model a little bit."
"The product has moderate pricing."
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Top Industries

By visitors reading reviews
Financial Services Firm
21%
Manufacturing Company
9%
Computer Software Company
8%
Government
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 Business78
Midsize Enterprise50
Large Enterprise299
No data available
 

Questions from the Community

Any advice about APM solutions?
The key is to have a holistic view over the complete infrastructure, the ones you have listed are great for APM if you need to monitor applications end to end. I have tested them all and have not f...
What cloud monitoring software did you choose and why?
While the environment does matter in the selection of an APM tool, I prefer to use Dynatrace to manage the entire stack. Both production and Dev/Test. I find it to be quite superior to anything els...
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...
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

Audi, Best Buy, LinkedIn, CISCO, Intuit, KRONOS, Scottrade, Wells Fargo, ULTA Beauty, Lenovo, Swarovsk, Nike, Whirlpool, American Express
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Find out what your peers are saying about Datadog, Dynatrace, Splunk and others in Application Performance Monitoring (APM) and Observability. Updated: March 2026.
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