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Elastic Observability vs Nagios Log Server comparison

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Comparison Buyer's Guide

Executive SummaryUpdated on Oct 9, 2024

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
16th
Average Rating
8.0
Reviews Sentiment
6.8
Number of Reviews
29
Ranking in other categories
Application Performance Monitoring (APM) and Observability (12th), IT Infrastructure Monitoring (15th), Container Monitoring (5th), Cloud Monitoring Software (11th)
Nagios Log Server
Ranking in Log Management
43rd
Average Rating
8.0
Reviews Sentiment
6.9
Number of Reviews
4
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of November 2026, in the Log Management category, the mindshare of Elastic Observability is 1.3%, up from 1.3% compared to the previous year. The mindshare of Nagios Log Server is 0.9%, up from 0.8% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Log Management Mindshare Distribution
ProductMindshare (%)
Elastic Observability1.3%
Nagios Log Server0.9%
Other97.8%
Log Management
 

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.
Syarul Idzuddin Adzmi - PeerSpot reviewer
Operation Director at Digital Pulse Sdn Bhd
A scalable and affordable tool for monitoring data centers
Five engineers are needed for the maintenance of the product. I would definitely recommend the solution to those planning to use it. To increase the rating for the product, Nagios should offer remote support and offer more customization in reporting while making it easy for the customers to use it. Overall, I rate the solution an eight out of ten.

Quotes from Members

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

Pros

"The price is very less expensive compared to the other solutions."
"The architecture and system's stability are simple."
"I have built a mini business intelligence system based on Elastic Observability."
"The product has connectors to many services."
"The solution has been stable in our usage."
"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 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 over a month from multiple data sources can be completed within seconds."
"It is very stable, and I would rate it ten out of ten based on my interaction with it."
"My company is a featured partner of Nagios XI, so I'm implementing Nagios XI in different companies and supporting the product, and I'd recommend the solution because it offers a lot of benefits and has a good dashboard, it's pretty easy to get up and running, and the pricing is good."
"One of the most valuable features is the dashboard because the UI was effective and easy to use. The alert systems are good as well. We had no failovers and had high availability. We can search the queries fast as well in Nagios Log Server."
"The initial setup of Nagios Log Server was easy and straightforward."
"The product is scalable."
"A great feature of the solution involves its internal portal."
 

Cons

"With Elastic, you need to code and program more things compared to Dynatrace."
"I would advise others to use a different solution than Elastic APM."
"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."
"There's a steep learning curve if you've never used this solution before."
"One example is the inability to monitor very old databases with the newest version."
"The solution would be better if it was capable of more automation, especially in a monitoring capacity or for the response to abnormalities."
"Elastic Observability is reactive rather than proactive. It should act as an ITSM tool and be able to create tickets and alerts on Jira."
"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."
"The support could be better. They only offer email support."
"The configurations during initial setup could be improved."
"The customization and dashboards have shortcomings and need to be improved to make the tool look more presentable."
"The configurations during initial setup could be improved. If they could be agentless, as in the case of the Ansible product, it would be better. I would like to be able to analyze the network bandwidth."
"As we are talking about a product which is open to the public, the pricing makes it challenging for us to profit off of its marketing."
 

Pricing and Cost Advice

"The price of Elastic Observability is expensive."
"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 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 product’s pricing needs improvement."
"Elastic Observability's pricing could be better for small-scale users."
"We have been using the open-source version."
"Since we are a huge company, Elastic Observability is an affordable solution for us."
"On a scale of one to ten, where one is expensive, and ten is cheap, I rate the pricing an eight or nine."
"For a single instance, the price is around $4,000."
"We found the pricing to be quite affordable."
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Top Industries

By visitors reading reviews
Financial Services Firm
13%
Computer Software Company
9%
Comms Service Provider
8%
Outsourcing Company
7%
Government
12%
Manufacturing Company
12%
Comms Service Provider
12%
Computer Software Company
10%
 

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
IBM, impulse, wipro, comteco
Find out what your peers are saying about Elastic Observability vs. Nagios Log Server and other solutions. Updated: September 2026.
920,769 professionals have used our research since 2012.