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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
10th
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 (6th), Cloud Monitoring Software (11th)
Mezmo
Ranking in Application Performance Monitoring (APM) and Observability
76th
Ranking in Log Management
55th
Average Rating
9.0
Number of Reviews
2
Ranking in other categories
Observability Pipeline Software (7th)
 

Mindshare comparison

As of September 2026, in the Application Performance Monitoring (APM) and Observability category, the mindshare of Elastic Observability is 1.6%, down from 4.1% compared to the previous year. The mindshare of Mezmo is 0.6%, 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%
Mezmo0.6%
Other97.8%
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

"The customizable dashboards in Elastic Observability allow us to group relevant data to specific aspects of our solution, giving us around 20 interlinked dashboards which provide an overview, and if one aspect shows weird behavior, we can focus on that specific aspect of our software with a dedicated dashboard."
"The solution has been stable in our usage."
"Elastic Observability is highly stable; we ingested nearly 170 million records in the system and we have tested it, and you get your reports and dashboards within a few seconds, so it doesn't take much time."
"Its diverse set of features available on the cloud is of significant importance."
"The tool's most valuable feature is centralized logging. Elastic Common Search helps us to search for the logs across the organization."
"The price is very less expensive compared to the other solutions."
"The very positive features are the cost effectiveness and the range of things that you can implement."
"We can view and connect different sources to the dashboard using it."
"LogDNA consolidates all logs into one place, which is super valuable."
"We haven't had anything yet that we couldn't do through LogDNA."
"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."
"The solution aggregates all event streams, so that if there are any issues, it's all in the same interface."
 

Cons

"Elastic support really struggles in complex situations to resolve issues."
"Elastic Observability needs to have better standardization, logging, and schema."
"Elastic Observability could improve asset discovery as the current requirement to push the agent is not ideal."
"If we had some pre-defined templates for observability that we could start using right away after deploying it – instead of having to build or to change some of the dashboards – that would be helpful."
"The interface could be improved."
"Simplifying the parsing of logs and manual efforts would also be beneficial."
"Elastic Observability’s price could be improved."
"I would advise others to use a different solution than Elastic APM."
"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."
"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

"Since we are a huge company, Elastic Observability is an affordable solution for us."
"Elastic Observability's pricing could be better for small-scale users."
"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."
"One needs to pay for the licenses, and it is an annual subscription model right now."
"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."
"The price of Elastic Observability is expensive."
"We will buy a premium license after POC."
Information not available
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Top Industries

By visitors reading reviews
Financial Services Firm
14%
Computer Software Company
9%
Comms Service Provider
7%
Manufacturing Company
7%
Comms Service Provider
19%
Transportation Company
14%
Construction 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.
913,806 professionals have used our research since 2012.