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Datadog vs Mezmo comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Apr 27, 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
187
Ranking in other categories
Network Monitoring Software (4th), IT Infrastructure Monitoring (2nd), Container Monitoring (2nd), Cloud Monitoring Software (2nd), AIOps (1st), Cloud Security Posture Management (CSPM) (6th)
Mezmo
Ranking in Application Performance Monitoring (APM) and Observability
89th
Ranking in Log Management
54th
Average Rating
9.0
Number of Reviews
2
Ranking in other categories
Observability Pipeline Software (7th)
 

Mindshare comparison

As of July 2025, in the Application Performance Monitoring (APM) and Observability category, the mindshare of Datadog is 8.5%, down from 10.6% compared to the previous year. The mindshare of Mezmo is 0.1%, up from 0.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Application Performance Monitoring (APM) and Observability
 

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.
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

"The ingestion points are unlimited and support customization. We haven't had anything yet that we haven't been able to integrate with it."
"The monitoring functionality, in general, and tagging infrastructure are great."
"Datadog documentation on web pages has improved a lot and is pretty easy to follow and find."
"Log analytics give us a powerful mechanism for error tracking, research, and analysis."
"The solution has improved the organization by providing good insights into app performance and offering good dashboards."
"The solution allows flexibility and heightened observability for presenting data, creating indicators, and setting service-level objectives."
"The pricing model makes more sense than what we paid for against other competitors."
"I have found the logging and tracing features the most valuable."
"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

"Network device and performance monitoring could be improved, as we've faced some limitations in this area."
"Their security features could be improved. We looked at their Security Monitoring feature but it was early in its development. Datadog are just getting into the security space so I'm sure this will improve in the future."
"The dashboard could be improved. It would be helpful to get a view of specific things that we need to monitor for our application."
"I would love to see support for front-end and mobile applications. Right now, it is mostly all back-end stuff. Being able to do some integration with our front-end products would be awesome."
"Billing should be more transparent."
"I would like the tooling to have better integration in Slack, specifically sending out reminders to the relevant people to take breaks, do a retrospective, and specify with emojis which messages to log."
"We have contact with many customers that cover many areas, so we have cases where the infrastructure administration could be improved."
"I'd like to see an expansion of the Android and IOS apps to have a simplified CI/CD pipeline history view."
"No ability to encapsulate a query or a filter, and communicate or share that among the team."
"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."
 

Pricing and Cost Advice

"The solution's pricing depends on project volume."
"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."
"Pricing seemed easy until the bill came in and some things were not accounted for."
"It is easy to run up a large bill, so become familiar with the cost of each piece of your bill and use the metrics they supply to estimate and monitor your bill."
"It has always scaled for us. Cost scales up too, but that is not necessarily a bad thing. It's reasonable for what they're providing."
"It costs the same amount it would if we were hosting it ourselves, so we are incredibly happy with the cost."
"The cost is high and this can be justified if the scale of the environment is big."
"It has a module-based pricing model."
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Top Industries

By visitors reading reviews
Financial Services Firm
15%
Computer Software Company
15%
Manufacturing Company
8%
Healthcare Company
5%
No data available
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
 

Questions from the Community

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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: July 2025.
864,053 professionals have used our research since 2012.