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Datadog vs Mezmo comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Aug 3, 2025

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
Ranking in Application Performance Monitoring (APM) and Observability
1st
Ranking in Log Management
3rd
Average Rating
8.6
Reviews Sentiment
7.1
Number of Reviews
188
Ranking in other categories
Network Monitoring Software (4th), IT Infrastructure Monitoring (2nd), Container Monitoring (1st), Cloud Monitoring Software (2nd), AIOps (1st), Cloud Security Posture Management (CSPM) (7th)
Mezmo
Ranking in Application Performance Monitoring (APM) and Observability
75th
Ranking in Log Management
52nd
Average Rating
9.0
Number of Reviews
2
Ranking in other categories
Observability Pipeline Software (7th)
 

Mindshare comparison

As of September 2025, in the Application Performance Monitoring (APM) and Observability category, the mindshare of Datadog is 7.2%, down from 10.1% compared to the previous year. The mindshare of Mezmo is 0.3%, up from 0.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Application Performance Monitoring (APM) and Observability Market Share Distribution
ProductMarket Share (%)
Datadog7.2%
Mezmo0.3%
Other92.5%
Application Performance Monitoring (APM) and 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.
TO
It consolidates all logs into one place and provides required features and functionalities
Every once in a while, our IBM cloud operational implementation gets behind. Sometimes, when we have a customer event, we do not get access to the latest logs for about 30 minutes, particularly for the sites that are heavily utilized. This is clearly not good. It is impossible to do RCA when you can't look at the logs that pertain to the time period in which the event occurred. It could be more of an operational problem than a feature problem. I don't have visibility about whether it is a LogDNA issue or just an operational issue.

Quotes from Members

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

Pros

"Its integration definitely stands out. It provides seamless monitoring of all our systems, services, apps, and whatever else we secure and monitor. Visualizations have become simpler with dashboards. We are getting visibility into systems, services, and apps stack through a single pane of glass, which is good. We are able to put logs in context."
"Its integration is most valuable because you can integrate it with various service providers such as AWS, .Net, etc."
"It has empowered all our platform engineers with a very powerful and easy to use monitoring system."
"Datadog is providing efficiency in the products we develop for the wireless device engineering department."
"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."
"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."
"They have a very good foundation in capturing metrics, logs, and traces. It's a very nice tool for that and it allows you to apply these monitoring tools in almost any technology."
"The solution is stable."
"LogDNA consolidates all logs into one place, which is super valuable."
"The solution aggregates all event streams, so that if there are any issues, it's all in the same interface."
 

Cons

"They need to implement template variables into the message response body."
"Another issue that I have is with the search syntax, it could be simpler and it feels like there are too many ways to do the same things."
"It could probably be a little bit of a better user experience."
"The documentation leaves a lot to be desired for new users."
"I found the documentation can sometimes be confusing."
"The wide range of products Datadog now offers can be a bit intimidating to developers."
"Even though it is powerful on its own, the UI-based design lacks elegance, efficiency, and complexity."
"The product is quite complex, and there are so many features that I either didn't know about or wasn't sure how to use."
"Every once in a while, our IBM cloud operational implementation gets behind. Sometimes, when we have a customer event, we do not get access to the latest logs for about 30 minutes, particularly for the sites that are heavily utilized. This is clearly not good. It is impossible to RCA when you can't look at the logs that pertain to the time period in which the event occurred. It could be more of an operational problem than a feature problem. I don't have visibility about whether it is a LogDNA issue or just an operational issue."
"No ability to encapsulate a query or a filter, and communicate or share that among the team."
 

Pricing and Cost Advice

"If you do your homework, you'll find that if you're really concerned with cost, it's good."
"The solution is fairly priced but history and log storage can get costly depending on your needs."
"The pricing came up a bit compared to their competitors. It is not that the price has risen, but that the competitors have gone down. They keep adding more features that I would have expected to be baked in at a more nominal price. I have been increasingly dissatisfied with the pricing, but not enough to jump ship."
"Licensing is based on the retention period of logs and metrics."
"It didn't scale well from the cost perspective. We had a custom package deal."
"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."
"I am not satisfied with its licensing. Its payment is based on the exported data, and there was an explosion of the data for three or four weeks. My customer was not alerted, and there was no way for them to see that there has been an explosion of data. They got a big invoice for one or two months. The pricing model of Datadog is based on the data. The customer was quite surprised about not being alerted about this explosion of data. They should provide some kind of alert when there is an increase in usage."
"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."
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Top Industries

By visitors reading reviews
Financial Services Firm
14%
Computer Software Company
14%
Manufacturing Company
8%
Healthcare Company
5%
No data available
 

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

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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

 

Also Known As

No data available
LogDNA
 

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
Instacart, Asics, Lime, Salesforce
Find out what your peers are saying about Datadog vs. Mezmo and other solutions. Updated: September 2025.
867,349 professionals have used our research since 2012.