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Elastic Observability vs LogRhythm Axon [EOL] comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Oct 26, 2025

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
Average Rating
8.0
Reviews Sentiment
6.8
Number of Reviews
29
Ranking in other categories
Application Performance Monitoring (APM) and Observability (11th), IT Infrastructure Monitoring (13th), Log Management (16th), Container Monitoring (5th), Cloud Monitoring Software (11th)
LogRhythm Axon [EOL]
Average Rating
7.6
Reviews Sentiment
6.3
Number of Reviews
3
Ranking in other categories
No ranking in other categories
 

Featured Reviews

Mohammed-Abdelalim - PeerSpot reviewer
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.
AshishDubey - PeerSpot reviewer
Product manager at Tata Communications Ltd
A tool that offers features like SOAR and UBA, along with an out-of-the-box connector for users
LogRhythm Axon has come up with the AI cloud concept in the market. When it comes to the AI cloud concept, you need to consider that every region has differences when it comes to data sovereignty. The AI cloud concept from LogRhythm Axon was based on real-time AI and ML concepts, along with analytics parts that were carried out. The AI cloud concept from LogRhythm Axon is not something that is available in India, so I want it to be introduced in India soon with data sovereignty compliance in place. LogRhythm should focus more on Axon and its cloud platform, which can be helpful in the future to compete with players like Sentinel and Splunk, which currently offer cloud models to users. With LogRhythm Axon, stability and support are areas with shortcomings where improvements are required.

Quotes from Members

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

Pros

"We can view and connect different sources to the dashboard using it."
"The product has connectors to many services."
"The ability to ensure that the data is searchable and maintainable is highly valuable for our purposes."
"I have built a mini business intelligence system based on Elastic Observability."
"It is a powerful tool that allows users to collect and transform logs as needed, enabling flexible visualization and analysis."
"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."
"For full stack observability, Elastic is the best tool compared with any other tool like New Relic or AppDynamics or Dynatrace."
"Its diverse set of features available on the cloud is of significant importance."
"Scalability-wise, LogRhythm Axon is a good product."
"The fact that your investigations can be saved into a single query string that you can copy and share with your teammates is going to be a game changer."
"The search feature within Axon is pretty robust; it's actually very fast in comparison to the previous platform and is going to exponentially help the investigation times for the SOC analysts and for just pulling logs and getting data."
"For me, the most valuable feature of LogRhythm AXON is the log parsing technology it has. With my company, I'm the current policy builder, so not having to know an archaic, cryptic format and being able to visually grab a log and assign an element to a particular meta tag quickly and easily and being able to run tests on that have been super useful. It's going to revolutionize the way the logs are identified and classified."
 

Cons

"Simplifying the parsing of logs and manual efforts would also be beneficial."
"I am familiar with Azure Monitor, which I find more user-friendly compared to Elastic, which is a very technical tool."
"There's a steep learning curve if you've never used this solution before."
"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 needs to improve the retrieval of logs and metrics from all the instances."
"I would advise others to use a different solution than Elastic APM."
"There could be more low-code features included in the product."
"The solution would be better if it was capable of more automation, especially in a monitoring capacity or for the response to abnormalities."
"I'd give technical support a five out of ten. There are definitely areas that they can improve upon, and faster response times would be wonderful, and having more knowledgeable staff who provide the support would also be great."
"With LogRhythm Axon, stability and support are areas with shortcomings where improvements are required."
"It's a very beta solution right now, and there are so many features that we would like to see added in, such as integration with Active Directory, which is essential for user management and for streamlining that process significantly."
 

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."
"Elastic Observability's pricing could be better for small-scale users."
"The product’s pricing needs improvement."
"The product is not that cheap."
"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."
"One needs to pay for the licenses, and it is an annual subscription model right now."
"Since we are a huge company, Elastic Observability is an affordable solution for us."
"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."
"I know that there are certain payments to be made towards the licensing costs attached to the product...The pricing of LogRhythm Axon falls under the mid-range, in my opinion."
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Top Industries

By visitors reading reviews
Financial Services Firm
14%
Computer Software Company
10%
Manufacturing Company
7%
Government
7%
No data available
 

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.
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Overview

 

Sample Customers

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