Elastic Observability vs Mezmo comparison

Elastic and Mezmo are both solutions in the Application Performance Monitoring (APM) and Observability category. Elastic is ranked #6 with an average rating of 8.7, while Mezmo is ranked #75. Elastic holds a 2.6% 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

8,436 Views
6,833 Comparison Views

88% willing to recommend

Mezmo

Read 2 Mezmo reviews

974 Views
633 Comparison Views

100% willing to recommend

Elastic Observability

Mezmo

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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

6th

Ranking in Log Management

14th

Average Rating

8.0

Reviews Sentiment

6.8

Number of Reviews

Ranking in other categories

IT Infrastructure Monitoring (9th), Container Monitoring (4th), Cloud Monitoring Software (7th)

Mezmo

Ranking in Application Performance Monitoring (APM) and Observability

75th

Ranking in Log Management

55th

Average Rating

9.0

Number of Reviews

Ranking in other categories

Observability Pipeline Software (7th)

Mindshare comparison

As of January 2026, in the Application Performance Monitoring (APM) and Observability category, the mindshare of Elastic Observability is 2.6%, down from 6.2% 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	2.6%
Mezmo	0.5%
Other	96.9%

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

"Elastic provides built-in features for queries and report generation. It's a very good tool for monitoring integration capabilities."

"The Elastic User Interface framework lets us do custom development when needed. You need to have some Javascript knowledge. We need that knowledge to develop new custom tests."

"We can view and connect different sources to the dashboard using it."

"The most valuable feature of Elastic Observability is the text search."

"For full stack observability, Elastic is the best tool compared with any other tool ."

"It has always been a stable solution."

"The product has connectors to many services."

"Machine learning is the most valuable feature of this solution."

More Elastic Observability pros

"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

"Elastic Observability is reactive rather than proactive. It should act as an ITSM tool and be able to create tickets and alerts on Jira."

"There's a steep learning curve if you've never used this solution before."

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

"The auto-discovery isn't nearly as good. That's a big portion of it. When you drop the agent onto the JVM and you're trying to figure things out, having to go through and manually do all that is cumbersome."

"The solution would be better if it was capable of more automation, especially in a monitoring capacity or for the response to abnormalities."

"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."

"Elastic Observability is an excellent product for monitoring and visibility, but it lacks predictive analytics. Most solutions are aligned with the AIOps requirements, but this piece is missing in Elastic and should be included."

"In the future, Elastic APM needs a portfolio iTool. They can provide an easy way to develop the custom UI for Kibana."

More Elastic Observability cons

"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

"Elastic Observability's pricing could be better for small-scale users."

"We will buy a premium license after POC."

"The product’s pricing needs improvement."

"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."

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

"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."

"Since we are a huge company, Elastic Observability is an affordable solution for us."

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

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

26%

Comms Service Provider

13%

Financial Services Firm

Manufacturing 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...

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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 ...

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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

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Compared 8% of the time

Dynatrace vs Elastic Observability

Compared 7% of the time

New Relic vs Elastic Observability

Compared 7% of the time

Grafana vs Elastic Observability

Compared 7% of the time

Zabbix vs Elastic Observability

Compared 6% of the time

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Cribl vs Mezmo

Compared 21% of the time

Datadog vs Mezmo

Compared 11% of the time

New Relic vs Mezmo

Compared 10% of the time

Splunk Enterprise Security vs Mezmo

Compared 8% of the time

Elastic Security vs Mezmo

Compared 7% of the time

More Mezmo Competitors

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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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