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Elastic Observability vs Nagios Log Server comparison

 

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
27
Ranking in other categories
Application Performance Monitoring (APM) and Observability (7th), IT Infrastructure Monitoring (11th), Container Monitoring (4th), Cloud Monitoring Software (6th)
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 August 2025, in the Log Management category, the mindshare of Elastic Observability is 1.3%, down from 2.1% compared to the previous year. The mindshare of Nagios Log Server is 0.8%, down from 0.8% compared to the previous year. It is calculated based on PeerSpot user engagement data.
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.
Syarul Idzuddin Adzmi - PeerSpot reviewer
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

"It's easy to deploy, and it's very flexible."
"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."
"All the features that we use, such as monitoring, dashboarding, reporting, the possibility of alerting, and the way we index the data, are important."
"I found Elk to be excellent for log analytics, security analytics, application code-level analytics, collaboration with DevOps teams, CI/CD, microservices, and Kubernetes, specifically cloud-native or cloud-specific tasks."
"The product has connectors to many services."
"Its diverse set of features available on the cloud is of significant importance."
"We can view and connect different sources to the dashboard using it."
"The Elastic User Interface framework lets us do custom development when needed. You need to have some Javascript knowledge. We need that knowledge to develop new custom tests."
"The initial setup of Nagios Log Server was easy and straightforward."
"A great feature of the solution involves its internal portal."
"The product is scalable."
"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."
 

Cons

"There could be more low-code features included in the product."
"The solution needs to use more AI. Once the product onboards AI, users would more effectively be able to track endpoints for specific messages."
"Improving code insight related to infrastructure and network, particularly focusing on aspects such as firewalls, switches, routers, and testing would 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."
"The interface could be improved."
"The solution would be better if it was capable of more automation, especially in a monitoring capacity or for the response to abnormalities."
"There's a steep learning curve if you've never used this solution before."
"More web features could be added to the product."
"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."
"The support could be better."
 

Pricing and Cost Advice

"The product is not that cheap."
"Pricing is one of those situations where the more you use it, the more you pay."
"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."
"We have been using the open-source version."
"One needs to pay for the licenses, and it is an annual subscription model right now."
"The price of Elastic Observability is expensive."
"We will buy a premium license after POC."
"Since we are a huge company, Elastic Observability is an affordable solution for us."
"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."
"For a single instance, the price is around $4,000."
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Top Industries

By visitors reading reviews
Financial Services Firm
18%
Computer Software Company
15%
Manufacturing Company
8%
Government
6%
Computer Software Company
12%
Manufacturing Company
9%
University
8%
Government
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
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 license for Elastic Observability is the same as for other uses; you pay for Elastic, and you can use it for various cases. Observability is actually cheaper compared to logs because you're not...
What needs improvement with Elastic Observability?
I think they are working on the AI-based features, which are currently in technical preview. The only challenging aspect for new users is often writing the query language. Basic searching is very e...
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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: July 2025.
865,384 professionals have used our research since 2012.