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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
14th
Average Rating
8.0
Reviews Sentiment
6.8
Number of Reviews
29
Ranking in other categories
Application Performance Monitoring (APM) and Observability (10th), IT Infrastructure Monitoring (13th), Container Monitoring (6th), Cloud Monitoring Software (11th)
Nagios Log Server
Ranking in Log Management
45th
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 September 2026, in the Log Management category, the mindshare of Elastic Observability is 1.3%, down 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

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.
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

"Elastic provides built-in features for queries and report generation. It's a very good tool for monitoring integration capabilities."
"The ability to ensure that the data is searchable and maintainable is highly valuable for our purposes."
"The product has connectors to many services."
"The solution has been stable in our usage."
"The very positive features are the cost effectiveness and the range of things that you can implement."
"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."
"The most valuable feature of Elastic Observability is the text search."
"For full stack observability, Elastic is the best tool compared with any other tool like New Relic or AppDynamics or Dynatrace."
"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."
"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."
"The product is scalable."
"The initial setup of Nagios Log Server was easy and straightforward."
"A great feature of the solution involves its internal portal."
 

Cons

"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."
"Elastic Observability’s price could be improved."
"Elastic Observability needs to have better standardization, logging, and schema."
"There's a steep learning curve if you've never used this solution before."
"Elastic Observability could improve asset discovery as the current requirement to push the agent is not ideal."
"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."
"The solution needs to use more AI. Once the product onboards AI, users would more effectively be able to track endpoints for specific messages."
"Simplifying the parsing of logs and manual efforts would also be beneficial."
"The configurations during initial setup could be improved."
"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."
"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."
"The customization and dashboards have shortcomings and need to be improved to make the tool look more presentable."
"The support could be better. They only offer email support."
 

Pricing and Cost Advice

"Pricing is one of those situations where the more you use it, the more you pay."
"Users have to pay for some features, like the alerts on different channels, because they are unavailable in different source versions."
"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."
"The product is not that cheap."
"We have been using the open-source version."
"Elastic Observability's pricing could be better for small-scale users."
"We will buy a premium license after POC."
"Since we are a huge company, Elastic Observability is an affordable solution for us."
"For a single instance, the price is around $4,000."
"We found the pricing to be quite affordable."
"On a scale of one to ten, where one is expensive, and ten is cheap, I rate the pricing an eight or nine."
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Top Industries

By visitors reading reviews
Financial Services Firm
14%
Computer Software Company
9%
Comms Service Provider
7%
Manufacturing Company
7%
Government
13%
Computer Software Company
10%
Manufacturing Company
8%
Comms Service Provider
8%
 

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.
Ask a question
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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.
913,683 professionals have used our research since 2012.