Elastic Observability vs Mezmo comparison

Elastic and Mezmo are both solutions in the Application Performance Monitoring (APM) and Observability category. Elastic is ranked #10 with an average rating of 8.8, while Mezmo is ranked #76. Elastic holds a 2.4% mindshare in APM, compared to Mezmo’s 0.5% mindshare. Additionally, 88% of Elastic users are willing to recommend the solution, compared to 100% of Mezmo users who would recommend it.

Elastic Observability

Read 29 Elastic Observability reviews

8,483 Views
6,702 Comparison Views

88% willing to recommend

Mezmo

Read 2 Mezmo reviews

1,096 Views
712 Comparison Views

100% willing to recommend

Elastic Observability

Mezmo

Comparison Buyer's Guide

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Executive SummaryUpdated on Oct 9, 2024

Mezmo and Elastic Observability are two leading solutions in the observability space. Elastic Observability appears to have the upper hand thanks to its robust feature set, which justifies its higher cost according to users.

Features: Mezmo offers intuitive log aggregation, real-time analysis capabilities, and easy-to-use interfaces. Elastic Observability is known for its comprehensive monitoring tools, seamless data source integration, and extensive feature set, providing a more holistic solution.

Room for Improvement: Mezmo users advocate for better visualization options, scalability enhancements, and more advanced alerting features. Elastic Observability users seek improved documentation, reduced setup complexity, and enhanced custom dashboards.

Ease of Deployment and Customer Service: Mezmo is favored for its simplified deployment process, though it has mixed reviews regarding customer service responsiveness. Elastic Observability presents a more complex deployment but benefits from proactive customer support, balancing the complexity with better engagement.

Pricing and ROI: Mezmo is considered cost-effective, offering a favorable ROI shortly after deployment. Elastic Observability's higher pricing is seen as justified by its comprehensive capabilities, which promise substantial long-term returns. Pricing reflects Elastic's robust feature set, contributing to its perceived value over time.

To learn more, read our detailed Elastic Observability vs. Mezmo Report (Updated: January 2026).

Buyer's Guide

Elastic Observability vs. Mezmo

January 2026

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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

16th

Average Rating

8.0

Reviews Sentiment

6.8

Number of Reviews

Ranking in other categories

IT Infrastructure Monitoring (15th), Container Monitoring (5th), Cloud Monitoring Software (10th)

Mezmo

Ranking in Application Performance Monitoring (APM) and Observability

76th

Ranking in Log Management

56th

Average Rating

9.0

Number of Reviews

Ranking in other categories

Observability Pipeline Software (7th)

Mindshare comparison

As of February 2026, in the Application Performance Monitoring (APM) and Observability category, the mindshare of Elastic Observability is 2.4%, down from 6.1% compared to the previous year. The mindshare of Mezmo is 0.5%, up from 0.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Application Performance Monitoring (APM) and Observability Market Share Distribution
Product	Market Share (%)
Elastic Observability	2.4%
Mezmo	0.5%
Other	97.1%

Application Performance Monitoring (APM) and Observability

Featured Reviews

Mohammed-Abdelalim

Assistant Vice President at QualityKiosk Technologies Pvt. Ltd.

Has provided powerful customization for unique monitoring needs but needs more out-of-the-box capabilities

In my opinion, the best features of Elastic Observability are their flexibility to integrate with other existing systems and the ability to build a unified monitoring tool that can integrate with existing ones and end-to-end user journeys which require a lot of customizations. The greatest feature in Elastic is the ability to customize. This is similar to my comments about customizable dashboards in Elastic because it's visible to the analyst. However, it's very great. Customizing these dashboards can meet the customer's specific use cases and specific stories that they have in their environment, their special environment that doesn't look like other environments. The dashboarding in Elastic is highly customizable to the level of logos. If the customer wants his company logo in the dashboard, it can be done.

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Theodore Omtzigt

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.

Read full review

Quotes from Members

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

Pros

"Its diverse set of features available on the cloud is of significant importance."

"The solution has been stable in our usage."

"The most valued feature of Elastic is its log analytics capabilities."

"We use AppDynamics and Elastic. The reason why we're using Elastic APM is because of the license count. It's very favorable compared to AppDynamics. It's inexpensive; it's economical."

"Good design and easy to use once implemented."

"It has always been a stable solution."

"I have built a mini business intelligence system based on Elastic Observability."

"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."

More Elastic Observability pros

"The solution aggregates all event streams, so that if there are any issues, it's all in the same interface."

"LogDNA consolidates all logs into one place, which is super valuable."

Cons

"Simplifying the parsing of logs and manual efforts would also be beneficial."

"They need more skills in the market. There are not enough skills in the market. It is not pervasive enough on the market, in my opinion. In other words, there isn't a big enough user base."

"It lacked some capabilities when handling on-prem devices, like network observability, package flow analysis, and device performance data on the infrastructure side."

"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."

"The price is the only issue in the solution. It can be made better and cheaper."

"Elastic Observability needs to have better standardization, logging, and schema."

"The tool's scalability involves a more complex implementation process. It requires careful calculations to determine the number of nodes needed, the specifications of each node, and the configuration of hot, warm, and cold zones for data storage. Additionally, managing log retention policies adds further complexity. The solution's pricing also needs to be cheaper."

"I am familiar with Azure Monitor, which I find more user-friendly compared to Elastic, which is a very technical tool."

More Elastic Observability cons

"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

"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."

"Pricing is one of those situations where the more you use it, the more you pay."

"We have been using the open-source version."

"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."

"One needs to pay for the licenses, and it is an annual subscription model right now."

"The product is not that cheap."

"We will buy a premium license after POC."

"The product’s pricing needs improvement."

More Elastic Observability pricing and cost advice

Information not available

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Top Industries

By visitors reading reviews

Financial Services Firm

16%

Computer Software Company

14%

Manufacturing Company

Government

Transportation Company

25%

Comms Service Provider

13%

Financial Services Firm

Outsourcing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	9
Midsize Enterprise	4
Large Enterprise	16

No data available

Questions from the Community

What do you like most about Elastic Observability?

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...

See all answers

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 ...

See all answers

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,...

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Comparisons

Dynatrace vs Elastic Observability

Compared 7% of the time

Sentry vs Elastic Observability

Compared 6% of the time

Grafana vs Elastic Observability

Compared 6% of the time

New Relic vs Elastic Observability

Compared 6% of the time

Datadog vs Elastic Observability

Compared 5% of the time

More Elastic Observability Competitors

Cribl vs Mezmo

Compared 17% of the time

New Relic vs Mezmo

Compared 13% of the time

Datadog vs Mezmo

Compared 10% of the time

Splunk Enterprise Security vs Mezmo

Compared 8% of the time

Amazon CloudWatch vs Mezmo

Compared 6% of the time

More Mezmo Competitors

Product Reports

Buyer's Guide

Elastic Observability

January 2026

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Buyer's Guide

Cribl vs. Mezmo

February 2026

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Also Known As

No data available

LogDNA

Overview

Elastic Observability offers a comprehensive suite for log analytics, application performance monitoring, and machine learning. It integrates seamlessly with platforms like Teams and Slack, enhancing data visualization and scalability for real-time insights.

Elastic Observability is designed to support production environments with features like logging, data collection, and infrastructure tracking. Centralized logging and powerful search functionalities make incident response and performance tracking efficient. Elastic APM and Kibana facilitate detailed data visualization, promoting rapid troubleshooting and effective system performance analysis. Integrated services and extensive connectivity options enhance its role in business and technical decision-making by providing actionable data insights.

What are the most important features of Elastic Observability?

Centralized Logging: Streamlines the collection, analysis, and storage of log data.
Powerful Search: Provides robust search capabilities for quick access to relevant information.
Scalability: Supports growing data needs across diverse environments.
Real-time Telemetry: Ensures up-to-date insights and monitoring.
Platform Integration: Seamlessly connects with services like Teams and Slack.
Data Visualization: Enhances visibility with Elastic APM and Kibana.

What benefits and ROI should users explore in reviews?

Cost-effectiveness: Offers significant savings through efficient data management.
Rapid Incident Response: Minimizes downtime with quick troubleshooting tools.
Comprehensive Insights: Supports better business decisions with detailed data analysis.
Performance Tracking: Enables assessment of system effectiveness and improvements.

Elastic Observability is employed across industries for critical operations, such as in finance for transaction monitoring, in healthcare for secure data management, and in technology for optimizing application performance. Its data-driven approach aids efficient event tracing, supporting diverse industry requirements.

Elastic

Today’s enterprises must manage a massive amount of machine data. They require a platform that enables engineering teams to deliberately route and store structured and unstructured data for different teams with unique use cases. Legacy platforms weren’t made for this moment.
‍
Mezmo, formerly LogDNA, lets organizations ingest, process, route, analyze, and store all of their log data. Purpose-built for modern engineering teams—including developers, SREs, IT Operations, and Security Engineers—the Mezmo platform is trusted by thousands of companies for SaaS, cloud, and hybrid applications.

Mezmo

Sample Customers

PSCU, Entel, VITAS, Mimecast, Barrett Steel, Butterfield Bank

Instacart, Asics, Lime, Salesforce

Buyer's Guide

Elastic Observability vs. Mezmo

January 2026

Free Report: Elastic Observability vs. Mezmo

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