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Amazon OpenSearch Service vs Nagios Log Server comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Nov 16, 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

Amazon OpenSearch Service
Ranking in Log Management
22nd
Average Rating
7.6
Reviews Sentiment
6.7
Number of Reviews
13
Ranking in other categories
Application Performance Monitoring (APM) and Observability (26th), Search as a Service (3rd)
Nagios Log Server
Ranking in Log Management
48th
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 January 2026, in the Log Management category, the mindshare of Amazon OpenSearch Service is 2.4%, up from 1.6% compared to the previous year. The mindshare of Nagios Log Server is 0.8%, down from 0.9% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Log Management Market Share Distribution
ProductMarket Share (%)
Amazon OpenSearch Service2.4%
Nagios Log Server0.8%
Other96.8%
Log Management
 

Featured Reviews

Md. Shahariar Hossen - PeerSpot reviewer
Senior Software Engineer at Cefalo
Event tracking has become smoother and data analytics provide clear insights for user actions
Amazon OpenSearch Service is not providing the processing feature directly. From Amazon OpenSearch Service, we are actually maintaining the AWS SQS, the queue service, which is responsible for providing information about what data has to be modified. So using that SQS, we're actually providing it, but we're not directly using Amazon OpenSearch Service for keeping data to other data pipeline thing. So far we didn't use it for any machine learning purposes, but in future, we have plans to extend or implement this feature. Since AWS itself is secure and Amazon OpenSearch Service is a part of this entire ecosystem, it becomes much easier for security purposes. From the validation point of view, Amazon OpenSearch Service itself provides easy to communicate APIs and up-to-date documents, which is much beneficial. For example, if I'm missing anything, I can directly go and check the documentation. That is actually much easier. I would rate it as really good so far. It's much faster. For our local machine, we can also use a kind of replica of Amazon OpenSearch Service just for development purposes. That is another good feature. I would say for the encryption thing and also the user access control management, it's much faster. For some of these hashing algorithms, it also worked really well so far. To be honest, I didn't find any places where it can be improved. However, I think they could provide more abstraction. For example, still for searching, we have to write down the queries in a specific manner, such as for a specific JSON structure or in a specific way. Otherwise, they don't provide us the actual results. For at least this purpose, I think abstraction could be a bit easier or a bit improved. Other than that, right now there is the age of AI, so some kind of prompting could also work, but I'm not sure how it could be integrated. As a user, lower prices or reasonable pricing is always better. Those can be improved as well. However, it is good that most of the services including Amazon OpenSearch Service actually provide pay as you go pricing. So if there were a bit lower version or a bit less payment methodology, it might be much better.
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

"They have the good documentation in the help text and that is the reason the Amazon is the perfect solution in the current market."
"The most valuable features of Amazon Elasticsearch are ease of use, native JSON, and efficiency. Additionally, handles many use cases and search grammar was useful."
"Our customers have seen tangible benefits from Amazon OpenSearch Service, especially in terms of their applications running smoothly, so they do get a return on investment."
"I would definitely recommend Amazon OpenSearch Service to other professionals due to its fast and reliable search capabilities."
"Amazon OpenSearch Service has enhanced our organization's ability to store and search large amounts of data efficiently."
"The business analytics capabilities are the most important feature it provides."
"Regarding valuable features of the solution, we found with the process, which we have used in both cases where we used the solution that while you're seeing the streaming of data, you can analyze in the initial phase what sort of data you are streaming and whether it is valuable."
"The customer service is excellent, rated nine out of ten."
"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."
"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

"They can enhance data visualization."
"It would be beneficial to have some level of customization available in the managed service, tailored to the specific use cases of the end users."
"One glaring issue was with our mapping configuration as the system accepted the data we posted, but after a few months, when we attempted complex queries, we realized the date formatting had become problematic."
"In terms of data handling capabilities with Amazon OpenSearch Service, they can be complex and managing data in comparison to other SIM solutions is a major drawback, as it is very hard to handle the data."
"The configuration should be more straightforward because we had to select a lot of things."
"One improvement I would like to see is support for auto-scaling."
"As a user, lower prices or reasonable pricing is always better."
"There is a problem with the database. Amazon only provides the hosting to run our applications bias, but there is no option to manage the database within the Elasticsearch product."
"The support could be better."
"The customization and dashboards have shortcomings and need to be improved to make the tool look more presentable."
"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."
 

Pricing and Cost Advice

"There is a community edition available and the price of the commercial offering is reasonable."
"Compared to other cloud platforms, it is manageable and not very expensive."
"You only pay for what you use."
"The solution is not expensive, but priced averagely, I will say."
"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
15%
Computer Software Company
11%
Manufacturing Company
10%
Government
7%
Government
12%
Manufacturing Company
9%
Computer Software Company
8%
University
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business8
Midsize Enterprise2
Large Enterprise2
No data available
 

Questions from the Community

What do you like most about Amazon OpenSearch Service?
We retrieve historical data with just a click of a button to move it from cold to hot or warm because it's already stored in the backend storage
What is your experience regarding pricing and costs for Amazon OpenSearch Service?
I would consider the pricing as a six based on how much data we are handling; if we handle minimal data, it's cheap, but for large data, it becomes costly. Our clients usually pay between $1,000 to...
What needs improvement with Amazon OpenSearch Service?
In terms of data handling capabilities with Amazon OpenSearch Service, they can be complex and managing data in comparison to other SIM solutions is a major drawback, as it is very hard to handle t...
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Also Known As

Amazon Elasticsearch Service
No data available
 

Overview

 

Sample Customers

VIDCOIN, Wyng, Yellow New Zealand, zipMoney, Cimri, Siemens, Unbabel
IBM, impulse, wipro, comteco
Find out what your peers are saying about Amazon OpenSearch Service vs. Nagios Log Server and other solutions. Updated: December 2025.
881,082 professionals have used our research since 2012.