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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
7.1
Number of Reviews
186
Ranking in other categories
Application Performance Monitoring (APM) and Observability (1st), Network Monitoring Software (3rd), IT Infrastructure Monitoring (2nd), Log Management (3rd), Container Monitoring (2nd), Cloud Monitoring Software (1st), AIOps (1st), Cloud Security Posture Management (CSPM) (9th)
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

"I like how we can customize alerts, and when alerts have become too noisy, we turn their threshold down fairly easily."
"Log management is a great way for me to identify changes in behavior across services and environments as we make changes or as user behavior evolves."
"Datadog infrastructure monitoring has helped us identify health issues with our virtual machines, such as high load, CPU, and disk usage, as well as monitoring uptime and alerting when Kubernetes containers have a bad time staying up."
"The ingestion points are unlimited and support customization. We haven't had anything yet that we haven't been able to integrate with it."
"It has a nice UI."
"The seamless integration between Datadog and hundreds of apps makes onboarding new products and teams a breeze."
"It provides more cloud data. They tend to just get the way a service would be designed on the cloud."
"Synthetic testing is by far the most valuable feature in our organization."
"It makes organizing work easier based on its relevance to specific projects and teams."
 

Cons

"Datadog is expensive."
"The logging could be improved in the future."
"In the past two years, there have been a couple of outages."
"I've only been using Datadog for a few months, and at first, it was frankly overwhelming in terms of both the UI and the available capabilities."
"I often have issues with the UI in my browser."
"I love to have some DD guru come in and do a department training directly at our setup."
"The ability to find what you are looking for when starting out could be improved."
"Datadog is so feature-rich that it is often hard to onboard new folks and tough to decide where to invest time."
"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

"If you do your homework, you'll find that if you're really concerned with cost, it's good."
"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."
"Datadog does not provide any free plans to use the solution. When I start with a proof of concept it would be sensible to have a free plan to test the tool and check whether it fits the requirements of the project. Before the production stage, it is always good to have a free plan with some limited features, number of requests, or logs."
"The tool is open-source."
"The solution is fairly priced but history and log storage can get costly depending on your needs."
"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."
"At my last company, we did see ROI, specifically around response time. We could get to mission critical things that were down and losing revenue on immediately. So, the product paid itself back."
"The product has moderate pricing."
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Top Industries

By visitors reading reviews
Educational Organization
39%
Computer Software Company
10%
Financial Services Firm
10%
Manufacturing Company
5%
Computer Software Company
20%
Financial Services Firm
10%
Manufacturing Company
8%
Retailer
8%
 

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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