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Datadog vs Monte Carlo comparison

 

Comparison Buyer's Guide

Executive Summary
 

Categories and Ranking

Datadog
Average Rating
8.6
Reviews Sentiment
7.4
Number of Reviews
187
Ranking in other categories
Application Performance Monitoring (APM) and Observability (1st), Network Monitoring Software (3rd), IT Infrastructure Monitoring (2nd), Log Management (3rd), Container Monitoring (1st), Cloud Monitoring Software (1st), AIOps (1st), Cloud Security Posture Management (CSPM) (6th)
Monte Carlo
Average Rating
9.0
Number of Reviews
1
Ranking in other categories
Data Observability (1st)
 

Featured Reviews

Kevin Palmer - PeerSpot reviewer
Useful log aggregation and management with helpful metrics aggregation
Datadog provides us value in three major ways: First, Datadog provides best-in-class functionality in many, if not all, of the products to which we subscribe (infrastructure, APM, log management, serverless, synthetics, real user monitoring, DB monitoring). In my experience with other tools that provide similar functionality, Datadog provides the largest feature set with the most flexibility and the best performance. Second, Datadog allows us to access all of those services in one place. Having to learn and manage only one tool for all of those purposes is a major benefit. Third, Datadog provides significant connectivity between those services so that we can view, summarize, organize, translate and correlate our data with maximum effect. Not needing to manually integrate them to draw lines between those pieces of information is a huge time savings for us.
PR
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

"Datadog documentation on web pages has improved a lot and is pretty easy to follow and find."
"The integration and configuration are incredibly simple. The SaaS offering is remarkably easy to set up, especially if you're coming from a Graphite environment or anything that uses a StatsD."
"The full stack of integrations made it easier to monitor the different technologies and platform providers, including Software as a Service providers, that otherwise would need a lot of work and customization to be able to see what is happening."
"The application performance monitoring is pretty good."
"The most valuable aspect is the APM which can monitor the metrics and latencies."
"Customizable views as well as the ability to "dive in" when we see someting anomalous has improved the workflow for handling incidents."
"The most valuable feature of Datadog is its logs."
"The initial setup is very straightforward."
"It makes organizing work easier based on its relevance to specific projects and teams."
 

Cons

"I would like to see the integration between PagerDuty and Datadog improved. The tags in Datadog don't match those in PagerDuty, and we have to make it work."
"Lately, chat support has a longer waiting time."
"I found the documentation can sometimes be confusing."
"The wide range of products Datadog now offers can be a bit intimidating to developers."
"I'm still exploring the trial version, and it is fine. One thing that I haven't been able to figure out is how to retrieve a report. This is something that could be improved. I probably need to navigate to a place to access the reports."
"The error traceability is an area that can be improved."
"The real issue with this product is cost control."
"One thing we have run into is that it is so easy to add monitoring that we turn on things without really understanding the costs."
"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 price of Datadog is reasonable. Other solutions are more expensive, such as AppDynamics."
"If you do your homework, you'll find that if you're really concerned with cost, it's good."
"The price is better than some competing products."
"Our licensing fees are paid on a monthly basis."
"The solution is fairly priced but history and log storage can get costly depending on your needs."
"It didn't scale well from the cost perspective. We had a custom package deal."
"Licensing is based on the retention period of logs and metrics."
"The tool is open-source."
"The product has moderate pricing."
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Top Industries

By visitors reading reviews
Educational Organization
38%
Computer Software Company
10%
Financial Services Firm
10%
Manufacturing Company
7%
Computer Software Company
21%
Financial Services Firm
10%
Manufacturing Company
8%
Retailer
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
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 do you like most about Monte Carlo?
It makes organizing work easier based on its relevance to specific projects and teams.
What needs improvement with Monte Carlo?
For anomaly detection, the product provides only the last three weeks of data, while some competitors can analyze a more extended data history. This feature needs improvement. Its price could be a ...
 

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: December 2024.
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