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Axiom Team vs Elastic Observability comparison

Why PeerSpot?
 

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

Axiom Team
Ranking in Log Management
39th
Average Rating
8.6
Number of Reviews
2
Ranking in other categories
Data Observability (9th)
Elastic Observability
Ranking in Log Management
14th
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), Container Monitoring (5th), Cloud Monitoring Software (12th)
 

Mindshare comparison

As of October 2026, in the Log Management category, the mindshare of Axiom Team is 0.5%, up from 0.0% compared to the previous year. The mindshare of Elastic Observability is 1.3%, up from 1.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Log Management Mindshare Distribution
ProductMindshare (%)
Elastic Observability1.3%
Axiom Team0.5%
Other98.2%
Log Management
 

Featured Reviews

reviewer2783832 - PeerSpot reviewer
Programmer 1 at a manufacturing company with 10,001+ employees
Logging has reduced costs and now provides fast queries and dashboards for lambda troubleshooting
Axiom Team excels at querying, with a query language that makes it very easy to assemble queries. The platform also makes it simple to create dashboards from logs. Axiom Team dashboards are used to monitor execution time, pricing, and errors. Axiom Team has positively impacted the organization by greatly reducing logging costs.
Stefan Decuypere - PeerSpot reviewer
Technology Consultant at Hybrid software
Real-time dashboards and visual insights have streamlined issue analysis and monitoring
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, I know what it costs but am not directly involved in cost-benefit evaluations or maintenance, which is handled by another team. I develop the visual representation of the data and frankly, I don't see major gaps in my application or anything I would really miss; I appreciate the fast pace of the developments that have occurred in the last couple of years. Regarding room for improvement in Elastic Observability, I would have preferred built-in tools to manage the indexes on deployment for better visual representation, as the initial feedback regarding system performance and data storage was fairly primitive and lacking.

Quotes from Members

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

Pros

"Axiom Team has positively impacted my organization mainly in terms of cost, as we have reduced our logging cost by approximately half."
"Axiom Team has positively impacted the organization by greatly reducing logging costs."
"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."
"Elastic APM has plenty of features, such as the Elastic server for Kibana and many additional plugins. It's a comprehensive tool when used as a logging platform."
"It has always been a stable solution."
"From my experience with several major customers, the most valued feature of Elastic is its log analytics capabilities."
"The solution allows us to track performance via metrics and we're able to see where latency is happening."
"The solution is open-source and helps with back-end logging. It is also easy to handle."
"The architecture and system's stability are simple."
"For full stack observability, Elastic is the best tool compared with any other tool like New Relic or AppDynamics or Dynatrace."
 

Cons

"Axiom Team can be improved by ingesting logs faster, if possible."
"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."
"Simplifying the parsing of logs and manual efforts would also be beneficial."
"In the future, Elastic APM needs a portfolio iTool. They can provide an easy way to develop the custom UI for Kibana."
"When I go to the portal, I do not see many insights on the endpoints or where there could be latencies."
"The only challenging aspect for new users is often writing the query language."
"I would have preferred built-in tools to manage the indexes on deployment for better visual representation, as the initial feedback regarding system performance and data storage was fairly primitive and lacking."
"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."
"There could be more low-code features included in the product."
 

Pricing and Cost Advice

Information not available
"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."
"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."
"The price of Elastic Observability is expensive."
"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."
"Elastic Observability's pricing could be better for small-scale users."
"The product’s pricing needs improvement."
"The product is not that cheap."
"We have been using the open-source version."
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Top Industries

By visitors reading reviews
Construction Company
26%
Comms Service Provider
11%
Financial Services Firm
8%
Manufacturing Company
7%
Financial Services Firm
14%
Computer Software Company
9%
Comms Service Provider
8%
Outsourcing Company
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business9
Midsize Enterprise4
Large Enterprise16
 

Questions from the Community

What is your experience regarding pricing and costs for Axiom Team?
Pricing, setup cost, and licensing experience are not available due to lack of access to billing information.
What needs improvement with Axiom Team?
Axiom Team can be improved by ingesting logs faster, if possible.
What is your primary use case for Axiom Team?
Axiom Team is primarily used for logging Lambda functions and searching through those logs. When issues arise, the function logs are examined to determine what went wrong, and Axiom Team effectivel...
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.
 

Overview

 

Sample Customers

Information Not Available
PSCU, Entel, VITAS, Mimecast, Barrett Steel, Butterfield Bank
Find out what your peers are saying about Axiom Team vs. Elastic Observability and other solutions. Updated: September 2026.
914,938 professionals have used our research since 2012.