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Elastic Observability vs Mezmo comparison

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Comparison Buyer's Guide

Executive SummaryUpdated on Oct 9, 2024

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

Elastic Observability
Ranking in Application Performance Monitoring (APM) and Observability
11th
Ranking in Log Management
14th
Average Rating
8.0
Reviews Sentiment
6.8
Number of Reviews
29
Ranking in other categories
IT Infrastructure Monitoring (13th), Container Monitoring (5th), Cloud Monitoring Software (12th)
Mezmo
Ranking in Application Performance Monitoring (APM) and Observability
77th
Ranking in Log Management
55th
Average Rating
9.0
Number of Reviews
2
Ranking in other categories
Observability Pipeline Software (8th)
 

Mindshare comparison

As of October 2026, in the Application Performance Monitoring (APM) and Observability category, the mindshare of Elastic Observability is 1.6%, down from 3.9% compared to the previous year. The mindshare of Mezmo is 0.5%, up from 0.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Application Performance Monitoring (APM) and Observability Mindshare Distribution
ProductMindshare (%)
Elastic Observability1.6%
Mezmo0.5%
Other97.9%
Application Performance Monitoring (APM) and Observability
 

Featured Reviews

Stefan Decuypere - PeerSpot reviewer
Technology Consultant at Hybrid software
Real-time dashboards and visual insights have streamlined issue analysis and monitoring
After careful consideration about areas for improvement in Elastic Observability, aspects such as pricing, customization, implementation, and scalability could be improved. As a user of the system, I know what it costs but am not directly involved in cost-benefit evaluations or maintenance, which is handled by another team. I develop the visual representation of the data and frankly, I don't see major gaps in my application or anything I would really miss; I appreciate the fast pace of the developments that have occurred in the last couple of years. Regarding room for improvement in Elastic Observability, I would have preferred built-in tools to manage the indexes on deployment for better visual representation, as the initial feedback regarding system performance and data storage was fairly primitive and lacking.
TO
President and Founder at STILLWATER SUPERCOMPUTING INC
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

"Elastic APM has plenty of features, such as the Elastic server for Kibana and many additional plugins. It's a comprehensive tool when used as a logging platform."
"It is a powerful tool that allows users to collect and transform logs as needed, enabling flexible visualization and analysis."
"All the features that we use, such as monitoring, dashboarding, reporting, the possibility of alerting, and the way we index the data, are important."
"The solution allows us to track performance via metrics and we're able to see where latency is happening."
"It's easy to deploy, and it's very flexible."
"The tool's most valuable feature is centralized logging. Elastic Common Search helps us to search for the logs across the organization."
"The most valuable feature of Elastic Observability is the text search."
"Elastic Observability significantly improves incident response time by providing quick access to logs and data across various sources. For instance, searching for specific keywords in logs spanning over a month from multiple data sources can be completed within seconds."
"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."
"With LogDNA, which brings all the logs together in an interleaved stream, it allows us to take a transaction and relate it to other contextual events making the gathering of evidence for auditors and our internal RCA much more productive."
"We haven't had anything yet that we couldn't do through LogDNA."
 

Cons

"I am familiar with Azure Monitor, which I find more user-friendly compared to Elastic, which is a very technical tool."
"More web features could be added to the product."
"Improving code insight related to infrastructure and network, particularly focusing on aspects such as firewalls, switches, routers, and testing would be beneficial."
"When I go to the portal, I do not see many insights on the endpoints or where there could be latencies."
"The solution would be better if it was capable of more automation, especially in a monitoring capacity or for the response to abnormalities."
"There is room for improvement regarding its APM capabilities."
"Elastic Observability is difficult to use. There are only three options for customization but this can be difficult for our use case. We do not have other options to choose the metrics shown, such as CPU or memory usage."
"There could be more low-code features included in the product."
"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."
"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

"There are two types: cloud and SaaS. They charge based on data ingestion, ingest rate, hard retention, and warm retention. I believe it costs around $25,000 annually to ingest 30GB of data daily. That is the SaaS version. There is also a self-managed license where the customer manages their own infrastructure on-prem. In such cases, there are three license tiers that respectively cost $5,000 annually per node, $7,000 per node, and $12,500 per node."
"Elastic Observability is cheaper than other similar solutions, such as Dynatrace. Its license calculation is based on various factors like data volume and physical infrastructure, particularly related to RAM capacity."
"Since we are a huge company, Elastic Observability is an affordable solution for us."
"So far, there are just the standard licensing fees. Several of the components are embedded in the license or are even open source. They're even free depending on what you use, which makes it even more appealing to someone that is discussing pricing of the solution."
"We have been using the open-source version."
"The product’s pricing needs improvement."
"Users have to pay for some features, like the alerts on different channels, because they are unavailable in different source versions."
"Elastic Observability's pricing could be better for small-scale users."
Information not available
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Top Industries

By visitors reading reviews
Financial Services Firm
14%
Computer Software Company
9%
Comms Service Provider
8%
Manufacturing Company
7%
Comms Service Provider
18%
Construction Company
14%
Transportation Company
14%
Financial Services Firm
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business9
Midsize Enterprise4
Large Enterprise16
No data available
 

Questions from the Community

What is your experience regarding pricing and costs for Elastic Observability?
The problem is their licensing model, which is a bit confusing. Many customers struggle to understand their total cost of ownership because Elastic licensing is not dependent on easy, quantifiable ...
What needs improvement with Elastic Observability?
After careful consideration about areas for improvement in Elastic Observability, aspects such as pricing, customization, implementation, and scalability could be improved. As a user of the system,...
What is your primary use case for Elastic Observability?
My use case for Elastic Observability is observability, as we upload our customers' data, including logs, and when there is an issue, we can analyze what went wrong.
Ask a question
Earn 20 points
 

Comparisons

 

Also Known As

No data available
LogDNA
 

Overview

 

Sample Customers

PSCU, Entel, VITAS, Mimecast, Barrett Steel, Butterfield Bank
Instacart, Asics, Lime, Salesforce
Find out what your peers are saying about Elastic Observability vs. Mezmo and other solutions. Updated: September 2026.
915,325 professionals have used our research since 2012.