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

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 (3rd), IT Infrastructure Monitoring (2nd), Container Monitoring (1st), Cloud Monitoring Software (1st), AIOps (1st), Cloud Security Posture Management (CSPM) (8th)
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 (6th)
 

Mindshare comparison

As of May 2025, in the Application Performance Monitoring (APM) and Observability category, the mindshare of Datadog is 8.7%, down from 11.1% 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 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."
"This spectrum of solutions has allowed us to track down bugs faster and more rapidly, which allows us to limit revenue lost during downtime."
"It has a high-level insight into the infrastructure model of the application and provides important detailed data on the host and metrics, which is the main concern of our customers."
"Flame graphs are pretty useful for understanding how GraphQL resolves our federated queries when it comes to identifying slow points in our requests. In our microservice environment with 170 services."
"For us to have visibility into our app stack and the hardware we run has been highly beneficial."
"Several critical dashboards were created years ago and are still in use today."
"The solution has improved the organization by providing good insights into app performance and offering good dashboards."
"The most valuable aspect of the solution is the APM."
"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

"We would like to see some versioning system for the Synthetic Tests so that we could have a backup of our tests since they are time-consuming to make and very easy to damage in a moment of error."
"It is very difficult to make the solutions fit perfectly for large organizations, especially in terms of high cardinality objects and multi-tenancy, where the data needs to be rolled up to a summarized level while maintaining its individual data granularity and identifiers."
"One thing we have run into is that it is so easy to add monitoring that we turn on things without really understanding the costs."
"I like the idea of monitoring on the go, however, it seems the options are still a bit limited out of the box."
"One key improvement we would like to see in a future Datadog release is the inclusion of certain metrics that are currently unavailable. Specifically, the ability to monitor CPU and memory utilization of AWS-managed Airflow workers, schedulers, and web servers would be highly beneficial for our organization."
"We have asked technical support questions, and sometimes they don't get back to us right away. Or when they do, it is not the right answer."
"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."
"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."
"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

"The solution is fairly priced but history and log storage can get costly depending on your needs."
"Our licensing fees are paid on a monthly basis."
"While it is an expensive product, I would rate the pricing level at four out of five."
"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."
"The price of Datadog is reasonable. Other solutions are more expensive, such as AppDynamics."
"The price is better than some competing products."
"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."
"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."
Information not available
report
Use our free recommendation engine to learn which Application Performance Monitoring (APM) and Observability solutions are best for your needs.
852,764 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
Educational Organization
26%
Computer Software Company
12%
Financial Services Firm
12%
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: May 2025.
852,764 professionals have used our research since 2012.