Try our new research platform with insights from 80,000+ expert users

Datadog vs Mezmo comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Jan 22, 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 (3rd), IT Infrastructure Monitoring (2nd), Container Monitoring (1st), Cloud Monitoring Software (1st), AIOps (1st), Cloud Security Posture Management (CSPM) (7th)
Mezmo
Ranking in Application Performance Monitoring (APM) and Observability
76th
Ranking in Log Management
54th
Average Rating
9.0
Number of Reviews
2
Ranking in other categories
Observability Pipeline Software (5th)
 

Mindshare comparison

As of April 2025, in the Application Performance Monitoring (APM) and Observability category, the mindshare of Datadog is 8.8%, down from 11.3% 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
Has vastly increased our ability to reach SLA targets consistently
Scalability could be improved. We are using it through the IBM cloud deployment and on some of the data centers that are very heavily used, there is a significant lag in the event stream, sometimes 10, 15 minutes behind, which makes the RCA impossible. If an event hits but you don't have the information to look at it, then it's tricky. This is probably not an issue of the product itself, but more a deployment issue. There is something on the IBM side that needs some readjustment to make certain these lags don't happen too often. We now use other tools for back-up in that area. But if you really want to do SIEM type work, then that is an aspect that needs some improvement. It's hard to tell if it's the product or the IBM deployment of it. The user interface is really very productive interactively but for an additional feature, it would be nice if we somehow could encapsulate a query or a filter, and communicate or share that among the team so that specific types of actions can be carried out quickly. In particular, when we deal with a customer issue, it may pertain to a particular transaction through the system and each transaction has a unique ID. It would be great if we could query that ID and request all transactions that pertain to a specific ID. For now, we need to find the events, then extract the ID. Once we have that, we can go through the UI to set up the query and filter it to give us a transaction. But it would be really nice if we could simply say, "Here's the ID. Give me all the transactions."

Quotes from Members

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

Pros

"The solution is sufficiently stable."
"The service catalog helped improve our organization by giving a good view of the flow for our microservices applications."
"We have found that we're able to get in and out of troubleshooting issues much more rapidly, which in turn, of course, enables us to spend more time on our products."
"Log analytics give us a powerful mechanism for error tracking, research, and analysis."
"The centralized pipeline tracking and error logging provide a comprehensive view of our development and deployment processes, making it much easier to identify and resolve issues quickly."
"Using the data, our operation teams works with the dashboards to get their statistics, analytics, etc."
"Datadog has so far been a breeze to use and set up."
"Across CCM and the rest of Datadog, I like how sharable everything is."
"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

"The query performance could be improved, particularly when handling large datasets, as slower response times can hinder efficiency."
"I've found that the documentation is lacking in certain regards."
"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."
"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."
"We primarily use the log management functionality, and the only feedback I have there is better fuzzy text searching in logs (the kind that Kibana has)."
"It would be ideal if the product offered a bit more monitoring from our dashboard."
"Datadog does not have the feature where you can monitor external websites or check the SSL secure for websites."
"Datadog needs more local Asia-Pacific support, and if they don't have a SaaS solution in Asia-Pacific, they should offer an on-prem version. I'm told that's not possible."
"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

"It costs the same amount it would if we were hosting it ourselves, so we are incredibly happy with the cost."
"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."
"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 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."
"It has a module-based pricing model."
"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."
"My advice is to really keep an eye on your overage costs, as they can spiral really fast."
"Our licensing fees are paid on a monthly basis."
Information not available
report
Use our free recommendation engine to learn which Application Performance Monitoring (APM) and Observability solutions are best for your needs.
845,877 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
Educational Organization
36%
Computer Software Company
10%
Financial Services Firm
10%
Manufacturing Company
6%
No data available
 

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 ...
Ask a question
Earn 20 points
 

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: April 2025.
845,877 professionals have used our research since 2012.