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

"Datadog's ability to group and visualize the servers and the data makes it relatively easy for the root cause analysis."
"It is easy to navigate the menu and create tests."
"Each component complements the other, creating a cohesive system where data, logs, and metrics are seamlessly integrated."
"The ability to create custom dashboards has been incredibly useful, allowing us to visualize key metrics and KPIs in a way that makes sense for different teams and stakeholders."
"Datadog provides tracing and logging, whereas Dynatrace focuses on tracing, and Splunk is more of a logging tool. Datadog's advantage is that we don't need two tools."
"We've found it most useful for managing Rstudio Workbench, which has its own logs that would not be picked up via Cloudwatch."
"It has provided visibility with ease of implementation and allowed multiple teams to quickly onboard it."
"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."
"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

"In some ways, the tool has a pretty steep learning curve. Discovering the various capabilities available, then learning how to utilize them for particular use cases can be challenging."
"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."
"A tool as powerful as Datadog is, understandably, going to have a bit of a learning curve, especially for new team members who are unfamiliar with the bevy of features it offers."
"Ingesting data from various sources to monitor the log metrics of the system can always improve so that, if something goes wrong, the right teams are alerted."
"Datadog isn't as mature as some of the established players like Dynatrace or Splunk. It's a new product, so they are constantly releasing new features, and I don't have much to complain about."
"We need more visibility into the error tracking dashboard."
"Sometimes it’s difficult to customize certain queries to find specific things, specifically with the logging solution."
"Delta traces on the Golang profiler are extremely expensive concerning memory utilization."
"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

"Pricing is somewhat affordable compared to other solutions but in order to really lower the costs of other products you need to plan very carefully your resources usage, otherwise, it can get expensive real quick."
"The solution is fairly priced but history and log storage can get costly depending on your needs."
"Pricing and licensing are reasonable for what they give you. You get the first five hosts free, which is fun to play around with. Then it's about four dollars a month per host, which is very affordable for what you get out of it. We have a lot of hosts that we put a lot of custom metrics into, and every host gives you an allowance for the number of custom metrics."
"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."
"This solution is budget friendly."
"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 price is better than some competing products."
Information not available
report
Use our free recommendation engine to learn which Application Performance Monitoring (APM) and Observability solutions are best for your needs.
848,716 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
Educational Organization
33%
Computer Software Company
11%
Financial Services Firm
11%
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.
848,716 professionals have used our research since 2012.