Datadog vs Monte Carlo comparison

The compared Datadog and Monte Carlo solutions aren't in the same category. Datadog is ranked #2 in CMS , with an average rating of 8.7, and holds a 8.5% mindshare in the category. Monte Carlo is ranked #1 in DO , and holds a 33.5% mindshare. Additionally, 97% of Datadog users are willing to recommend the solution, compared to 100% of Monte Carlo users who would recommend it.

Datadog

Read 206 Datadog reviews

23,433 Views
7,499 Comparison Views

97% willing to recommend

Monte Carlo

Read 1 Monte Carlo review

934 Views
327 Comparison Views

100% willing to recommend

Datadog

Monte Carlo

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Executive Summary

We performed a comparison between Datadog and Monte Carlo based on real PeerSpot user reviews.

Find out what your peers are saying about Zabbix, Datadog, Microsoft and others in Cloud Monitoring Software.

To learn more, read our detailed Cloud Monitoring Software Report (Updated: October 2025).

Buyer's Guide

Cloud Monitoring Software

October 2025

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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

206

Ranking in other categories

Application Performance Monitoring (APM) and Observability (1st), Network Monitoring Software (4th), IT Infrastructure Monitoring (3rd), Log Management (4th), Container Monitoring (2nd), Cloud Monitoring Software (2nd), AIOps (1st), Cloud Security Posture Management (CSPM) (6th)

Monte Carlo

Average Rating

9.0

Number of Reviews

Ranking in other categories

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 8.5%, down 12.0% compared to last year.
Monte Carlo, on the other hand, focuses on Data Observability, holds 33.5% mindshare, down 36.0% since last year.

Cloud Monitoring Software Market Share Distribution
Product	Market Share (%)
Datadog	8.5%
Zabbix	15.4%
Checkmk	5.4%
Other	70.7%

Cloud Monitoring Software

Data Observability Market Share Distribution
Product	Market Share (%)
Monte Carlo	33.5%
Anomalo	12.8%
Acceldata	12.6%
Other	41.1%

Data Observability

Featured Reviews

Prakash Pandey

IT Manager at Liberty Mutual Insurance

Has improved monitoring accuracy and enabled faster issue resolution through detailed alerting and transaction visibility

The best feature that Datadog offers is infrastructure monitoring, where it can look at the CPU utilization, different process utilization, all the processes which are running, and alert us in advance if things are going beyond normal threshold. I think everything about the features of Datadog is amazing. Datadog provides details up to the transactions. We can look at the transaction log too for the application, which is really helpful. Datadog has impacted our organization positively since we were previously using AppDynamics and then we switched to Datadog. It has improved a lot in our alerting and monitoring in the infrastructure space and application space. We can monitor business transactions and take proactive action. It is really great to take actions on the issues before an end user reports it, which is a great advantage for us.

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Prathik Rokhade

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.

Read full review

Quotes from Members

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

Pros

"Datadog has a lot of features to be able to drill down deep into the swath of logs that our platforms generate."

"Datadog has positively impacted my organization by shortening our time to resolve incidents because it's a central place for getting all the data that we need for troubleshooting."

"Datadog has positively impacted my organization by allowing for a more proactive response to issues whenever they occur."

"The ability to send notifications based on metadata from the monitor is helpful."

"Profiling has been made easier."

"The dashboards are great."

"Datadog has had a significant positive impact on our organization overall, particularly in visibility, reliability, and cost efficiency, allowing us to centralize metrics, logs, and traces across our cloud, moving from reactive to proactive monitoring, with improvements including faster incident detection and resolution, enhanced service reliability, better cost and resource optimization, and shared dashboards providing the engineering and product teams a single source of truth for system health and performance, thus enhancing our overall observability and operational efficiency."

"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."

More Datadog pros

"It makes organizing work easier based on its relevance to specific projects and teams."

Cons

"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."

"We need a lot of modules since we collect all data logs from all operating systems."

"Datadog could have a better business analysis module."

"We did have an issue where a synthetic test was set up before the holiday break, and we were quickly charged a great amount. Our team worked with Datadog, and they were able to help us out since it was inadvertent on our end and was a user error."

"While the documentation is very good, there are areas that need a lot of focus to pick up on the key details."

"When I started using it years ago, it had stability problems. I remember, specifically, we ran everything in Docker containers. There were some problems getting it into a Docker container with very specific memory limits."

"The ease of implementation was a bit difficult for us for the database servers where we have different kinds of databases. We needed different kinds of agents to be installed, and that was a bit tricky for us."

"Managing dashboards as IaC is a bit hard to work out at times."

More Datadog cons

"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 tool is open-source."

"The price of Datadog is reasonable. Other solutions are more expensive, such as AppDynamics."

"The cost is high and this can be justified if the scale of the environment is big."

"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 has a module-based pricing model."

"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."

"Our licensing fees are paid on a monthly basis."

"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."

More Datadog pricing and cost advice

"The product has moderate pricing."

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Top Industries

By visitors reading reviews

Financial Services Firm

15%

Computer Software Company

14%

Manufacturing Company

Retailer

Computer Software Company

15%

Financial Services Firm

Retailer

Manufacturing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	80
Midsize Enterprise	46
Large Enterprise	94

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...

See all answers

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...

See all answers

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 ...

See all answers

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Comparisons

Dynatrace vs Datadog

Compared 11% of the time

Azure Monitor vs Datadog

Compared 7% of the time

Splunk Enterprise Security vs Datadog

Compared 4% of the time

New Relic vs Datadog

Compared 4% of the time

AWS X-Ray vs Datadog

Compared 4% of the time

More Datadog Competitors

Grafana vs Monte Carlo

Compared 15% of the time

Acceldata vs Monte Carlo

Compared 11% of the time

Anomalo vs Monte Carlo

Compared 11% of the time

Dynatrace vs Monte Carlo

Compared 9% of the time

New Relic vs Monte Carlo

Compared 7% of the time

More Monte Carlo Competitors

Product Reports

Buyer's Guide

Datadog

October 2025

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Buyer's Guide

Data Quality

October 2025

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Overview

Datadog integrates extensive monitoring solutions with features like customizable dashboards and real-time alerting, supporting efficient system management. Its seamless integration capabilities with tools like AWS and Slack make it a critical part of cloud infrastructure monitoring.

Datadog offers centralized logging and monitoring, making troubleshooting fast and efficient. It facilitates performance tracking in cloud environments such as AWS and Azure, utilizing tools like EC2 and APM for service management. Custom metrics and alerts improve the ability to respond to issues swiftly, while real-time tools enhance system responsiveness. However, users express the need for improved query performance, a more intuitive UI, and increased integration capabilities. Concerns about the pricing model's complexity have led to calls for greater transparency and control, and additional advanced customization options are sought. Datadog's implementation requires attention to these aspects, with enhanced documentation and onboarding recommended to reduce the learning curve.

What are Datadog's Key Features?

Sharable Dashboards: Facilitate collaboration with customizable, intuitive dashboards.
Extensive Integrations: Seamlessly connects with tools like Slack and AWS to support workflows.
APM and RUM: Provides deep insights into application performance and user interactions.
Real-Time Tools: Enables agile responses to system issues with real-time monitoring.
Unified Tagging and Visualization: Eases management of complex systems with simplified visualization.

What Benefits and ROI Should Users Look For?

Efficient Troubleshooting: Centralized logging speeds up the identification and resolution of issues.
Streamlined Workflows: Integrations with popular tools enhance operational efficiency.
Improved Observability: Comprehensive monitoring improves system reliability and performance.
Resource Optimization: Efficient microservices and container management leads to better cloud resource utilization.
Responsive Alerts: Customizable alerts ensure timely identification of critical issues.

In industries like finance and technology, Datadog is implemented for its monitoring capabilities across cloud architectures. Its ability to aggregate logs and provide a unified view enhances reliability in environments demanding high performance. By leveraging real-time insights and integration with platforms like AWS and Azure, organizations in these sectors efficiently manage their cloud infrastructures, ensuring optimal performance and proactive issue resolution.

Datadog

Stop wasting time on data fire-drills. Stop trying to hack band-aid solutions. Stop paying for outdated data governance software. With Monte Carlo, data teams are the first to know about and resolve data problems, leading to stronger data teams and insights that deliver true business value.
You invest so much in your data infrastructure – you simply can’t afford to settle for unreliable data. At Monte Carlo, we believe in the power of data, and in a world where you sleep soundly at night knowing you have full trust in your data.

Monte Carlo

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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October 2025

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