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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
188
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
1
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
ProductMarket Share (%)
Datadog8.5%
Zabbix15.4%
Checkmk5.4%
Other70.7%
Cloud Monitoring Software
Data Observability Market Share Distribution
ProductMarket Share (%)
Monte Carlo33.5%
Anomalo12.8%
Acceldata12.6%
Other41.1%
Data Observability
 

Featured Reviews

reviewer820579 - PeerSpot reviewer
Single pane of glass, easy to share dashboards, and good for monitoring
We've had some issues where we had Datadog automatically turned on in AWS regions that we weren't using, which incurred a small but steady cost that amounted to tens of thousands of dollars spent over a few weeks. I wish there was a global setting that lets an admin restrict which regions DD is turned on in as a default setup step. Sometimes, the APM service dashboard link isn't sharable. I click something in the service catalog, and on that service's APM default view, I try to share a link to that with a teammate, and they reach a blank or error screen. I wish there was more organization and detail in the suggestions when I use the query editor. I'm never quite sure when the autofill dropdown shows up if I'm seeing some custom tag or some default property, so I have to know exactly what I'm looking for in order to build a chart. It's hard to navigate and explore using the query autofill suggestions without knowing exactly what tag to look for. It's been a bit hard to understand how data gets sampled or how many data points a particular dashboard value is using. We've had questions over the RUM metrics that we see and we had to ask for help with how values are calculated, bin sizes, etc to get confidence in our data.
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

"The visibility that it provides is valuable. It is helping in being proactive around incident management. It is helping us to be able to get more visibility into our customers' applications so that we can assist them at the application layer. We also provide them the infrastructure from an AWS standpoint. We are able to make sure that our customers are aware of certain critical things around the analytical piece of either the network or the application. We're able to call customers before they even know about the issue. From there, we can start putting together some change management processes and help them a bit."
"We really like the charts and visualization."
"The most valuable aspect is the APM which can monitor the metrics and latencies."
"The biggest thing I liked was the combination of all the things - monitoring, log aggregation, and profiling."
"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 two most valuable aspects are the Terraform provider for Datadog and the K8s Orchestrator."
"Being able to filter requests by latency is invaluable, as it provides immediate insight into which endpoints require further analysis and optimization."
"It has a nice UI."
"It makes organizing work easier based on its relevance to specific projects and teams."
 

Cons

"Since the Datadog platform has so many separate features, solving so many use cases, there are often inconsistencies in feature availability and interoperability between products."
"I'm not sure if Datadog can monitor K8s deployments in real-time. For instance, being able to see a deployment step by step visually. This would be helpful if there were any incidents during the deployment."
"One area where the product could be improved is Application Performance Monitoring (APM)."
"Datadog is so feature-rich that it is often hard to onboard new folks and tough to decide where to invest time."
"The query performance could be improved, particularly when handling large datasets, as slower response times can hinder efficiency."
"The on-premise version is very difficult to upgrade."
"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."
"Datadog could make their use cases more visible either through their docs or tutorial videos."
"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 is better than some competing products."
"​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."
"If you do your homework, you'll find that if you're really concerned with cost, it's good."
"It costs the same amount it would if we were hosting it ourselves, so we are incredibly happy with the cost."
"Licensing is based on the retention period of logs and metrics."
"Pricing seemed easy until the bill came in and some things were not accounted for."
"My advice is to really keep an eye on your overage costs, as they can spiral really fast."
"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 product has moderate pricing."
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Top Industries

By visitors reading reviews
Financial Services Firm
15%
Computer Software Company
14%
Manufacturing Company
8%
Retailer
6%
Computer Software Company
15%
Manufacturing Company
9%
Retailer
8%
Financial Services Firm
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business78
Midsize Enterprise42
Large Enterprise82
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 ...
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Comparisons

 

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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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