Logstash vs Mezmo comparison

Elastic and Mezmo are both solutions in the Log Management category. Elastic is ranked #24 with an average rating of 9.0, while Mezmo is ranked #52. Elastic holds a 0.6% mindshare in Log Management, compared to Mezmo’s 0.2% mindshare. Additionally, 75% of Elastic users are willing to recommend the solution, compared to 100% of Mezmo users who would recommend it.

Logstash

Read 5 Logstash reviews

810 Views
810 Comparison Views

75% willing to recommend

Mezmo

Read 2 Mezmo reviews

520 Views
447 Comparison Views

100% willing to recommend

Logstash

Mezmo

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Executive Summary

We performed a comparison between Logstash and Mezmo based on real PeerSpot user reviews.

Find out in this report how the two Log Management solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.

To learn more, read our detailed Logstash vs. Mezmo Report (Updated: July 2025).

Buyer's Guide

Logstash vs. Mezmo

July 2025

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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

Logstash

Ranking in Log Management

24th

Average Rating

9.0

Reviews Sentiment

5.6

Number of Reviews

Ranking in other categories

No ranking in other categories

Mezmo

Ranking in Log Management

52nd

Average Rating

9.0

Number of Reviews

Ranking in other categories

Application Performance Monitoring (APM) and Observability (80th), Observability Pipeline Software (7th)

Mindshare comparison

As of August 2025, in the Log Management category, the mindshare of Logstash is 0.6%, up from 0.4% compared to the previous year. The mindshare of Mezmo is 0.2%, up from 0.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Log Management

Featured Reviews

PRANIL CHANDARKAR

Associate Consultant at a computer software company with 1,001-5,000 employees

Open-source accessibility and ease of implementation empower adaptable log management

As both a customer and an integrator, I think the best features in Logstash are that people prefer it because it is open to all, as it is an open-source version. The functionality of Logstash is quite easy to implement. I can say that the plugin ecosystem of Logstash is great. I have used some plugins for shell script monitoring and for SQL monitoring, and these are all working well with Logstash. The real-time processing capabilities of Logstash are also pretty fine with the tool. When I use the community edition, I have to do many things manually. If I am using enterprise Elastic, then that is taken care of by the Elastic native machine learning.

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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.

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Quotes from Members

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

Pros

"Logstash has numerous plugins for inputs and outputs, allowing it to work well in environments that do not contain other Elastic components."

"I can collect logs from various data sources, including hardware."

"The transformation means we ship the logs in the way that we want them to be presented in Kibana, which is the main function we use Logstash for."

"Everything aligns well with improving our organization."

"We have three or four Logstash servers for high availability."

"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

"The product needs to improve its compatibility."

"Almost all the research can be very bad. We still have a problem with importing the log system."

"We still have a problem with importing the log system."

"There can be a UI to implement with Logstash. Currently, I have to work with config files and everything."

"Elastic does not provide proper support for Logstash worldwide, and I rate their technical support as one out of ten."

"An enhancement we could implement is the ability to cluster Logstash to exist in more than one node."

"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."

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Top Industries

By visitors reading reviews

Financial Services Firm

16%

Computer Software Company

12%

Government

University

No data available

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

Questions from the Community

What do you like most about Logstash?

I can collect logs from various data sources, including hardware.

See all answers

What needs improvement with Logstash?

Customization can be automated with Logstash, but it is at the developer's disposal. The developer has to do it, not the tool as such. There is scope for optimization, but that is all outside the t...

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What is your primary use case for Logstash?

The purposes for which I am using Logstash largely include log aggregation and application monitoring.

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Also Known As

No data available

LogDNA

Overview

Logstash is a versatile data processing pipeline that ingests data from multiple sources, transforms it, and sends it to preferred destinations, enabling seamless data utilization across systems.

Logstash provides an efficient and flexible way to manage data flow, supporting diverse input sources and offering a rich set of plugins. Its real-time processing capability and ease of integration with Elasticsearch make it advantageous for businesses looking to enhance data analytics. While valuable, Logstash can benefit from improvements like scalability enhancements and more robust error-handling mechanisms.

What are the key features of Logstash?

Input Plugin Support: Connects to a wide range of data sources for seamless ingestion.
Filter Plugin: Processes and enriches logs before output.
Output Plugin Flexibility: Delivers data to various endpoints efficiently.
Real-Time Pipeline: Processes data in real-time for immediate insights.

What benefits does Logstash provide?

Enhanced Data Processing: Streamlines data ingestion and transformation workflows.
Improved Analytics: Facilitates deeper insights through seamless Elasticsearch integration.
Cost Efficiency: Reduces total expenses by optimizing data handling processes.
Scalability: Adapts to diverse data volumes and use cases.

Industries like finance and e-commerce leverage Logstash for managing extensive log data and improving decision-making by feeding enriched data into analytics platforms. Its ability to handle diverse formats and integrate with Elastic Stack has proven crucial in implementing comprehensive data strategies.

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.
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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

Information Not Available

Instacart, Asics, Lime, Salesforce

Buyer's Guide

Logstash vs. Mezmo

July 2025

Free Report: Logstash vs. Mezmo

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