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Elastic Observability vs Logstash comparison

 

Comparison Buyer's Guide

Executive Summary

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 Log Management
14th
Average Rating
8.0
Reviews Sentiment
6.7
Number of Reviews
28
Ranking in other categories
Application Performance Monitoring (APM) and Observability (7th), IT Infrastructure Monitoring (10th), Container Monitoring (4th), Cloud Monitoring Software (6th)
Logstash
Ranking in Log Management
24th
Average Rating
9.0
Reviews Sentiment
5.6
Number of Reviews
5
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of October 2025, in the Log Management category, the mindshare of Elastic Observability is 1.3%, down from 1.9% compared to the previous year. The mindshare of Logstash is 0.7%, up from 0.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Log Management Market Share Distribution
ProductMarket Share (%)
Elastic Observability1.3%
Logstash0.7%
Other98.0%
Log Management
 

Featured Reviews

Adelina Craciun - PeerSpot reviewer
Customization enables tailored monitoring and alerting across departments
The possibility to customize it has been quite useful. Whatever the other departments want to dream up, we implement. Whatever they want to monitor, the granularity of it, the changes in the threshold, and the anomalies that they want reported all require some development. So far, every single request has been fulfilled.
PRANIL CHANDARKAR - PeerSpot reviewer
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.

Quotes from Members

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

Pros

"I recommend Elastic Observability for its completeness of vision and wide ecosystem."
"Machine learning is the most valuable feature of this solution."
"We can view and connect different sources to the dashboard using it."
"It's easy to deploy, and it's very flexible."
"I think Elastic Observability is already in very good shape."
"It is a powerful tool that allows users to collect and transform logs as needed, enabling flexible visualization and analysis."
"The most valuable feature of Elastic Observability is the text search."
"It is very stable, and I would rate it ten out of ten based on my interaction with it."
"I can collect logs from various data sources, including hardware."
"Everything aligns well with improving our organization."
"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."
"Logstash has numerous plugins for inputs and outputs, allowing it to work well in environments that do not contain other Elastic components."
"We have three or four Logstash servers for high availability."
 

Cons

"When opening tickets, we cannot use our team mailbox."
"Simplifying the parsing of logs and manual efforts would also be beneficial."
"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."
"Elastic Observability needs to have better standardization, logging, and schema."
"The cost must be made more transparent."
"I am familiar with Azure Monitor, which I find more user-friendly compared to Elastic, which is a very technical tool."
"Elastic Observability could improve asset discovery as the current requirement to push the agent is not ideal."
"There could be more low-code features included in the product."
"The product needs to improve its compatibility."
"An enhancement we could implement is the ability to cluster Logstash to exist in more than one node."
"There can be a UI to implement with Logstash. Currently, I have to work with config files and everything."
"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."
"Elastic does not provide proper support for Logstash worldwide, and I rate their technical support as one out of ten."
 

Pricing and Cost Advice

"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."
"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."
"Elastic Observability's pricing could be better for small-scale users."
"Since we are a huge company, Elastic Observability is an affordable solution for us."
"The price of Elastic Observability is expensive."
"We will buy a premium license after POC."
"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."
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Top Industries

By visitors reading reviews
Financial Services Firm
17%
Computer Software Company
14%
Manufacturing Company
8%
Government
6%
Financial Services Firm
16%
Computer Software Company
12%
Government
9%
University
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business8
Midsize Enterprise4
Large Enterprise16
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...
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?
Out-of-the-box use cases have room for improvement in Elastic Observability. They don't invest a lot in building out-of-the-box observable use cases, and they are more focusing on giving a very fle...
What do you like most about Logstash?
I can collect logs from various data sources, including hardware.
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...
What is your primary use case for Logstash?
The purposes for which I am using Logstash largely include log aggregation and application monitoring.
 

Comparisons

 

Overview

 

Sample Customers

PSCU, Entel, VITAS, Mimecast, Barrett Steel, Butterfield Bank
Information Not Available
Find out what your peers are saying about Elastic Observability vs. Logstash and other solutions. Updated: September 2025.
869,566 professionals have used our research since 2012.