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Amazon OpenSearch Service vs Elastic Security comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Feb 22, 2026

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
19th
Average Rating
7.6
Reviews Sentiment
6.7
Number of Reviews
13
Ranking in other categories
Application Performance Monitoring (APM) and Observability (23rd), Search as a Service (3rd)
Elastic Security
Ranking in Log Management
9th
Average Rating
7.8
Reviews Sentiment
6.8
Number of Reviews
66
Ranking in other categories
Security Information and Event Management (SIEM) (5th), Endpoint Detection and Response (EDR) (15th), Security Orchestration Automation and Response (SOAR) (7th), Extended Detection and Response (XDR) (8th)
 

Mindshare comparison

As of March 2026, in the Log Management category, the mindshare of Amazon OpenSearch Service is 2.1%, up from 2.0% compared to the previous year. The mindshare of Elastic Security is 3.0%, down from 3.7% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Log Management Mindshare Distribution
ProductMindshare (%)
Elastic Security3.0%
Amazon OpenSearch Service2.1%
Other94.9%
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.
Laurentiu Popescu - PeerSpot reviewer
Chief Product Officer at ClusterPower
Has improved threat detection with deep log analysis and streamlined investigation workflows
The most useful features I find in Elastic Security are the forensic ones that allow us to carry deeper analysis into the logs for in-depth investigations, and the dashboards, with the reporting dashboard being quite user-friendly. Elastic Security is quite good at identifying threats, as it is part of the deep investigation tool that I mentioned before. Unless we need to look further into a certain log, we can carry out a deeper analysis and forensics on those particular logs. I can assess the impact of Elastic Security's real-time data analysis on our threat response efficiency as working pretty good. We are looking for real-time analysis because we have a continuous inflow of logs from different sources: from our cloud, from Active Directory, from our network. So it works pretty well.

Quotes from Members

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

Pros

"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."
"It's a good log management platform. In terms of infrastructure management, it's good."
"In case there is a failure, Elastic manages everything well, and there no major downtime."
"It's actually easier to collaborate since it is already deployed in the AWS cloud itself."
"The stability of the product is good."
"I would definitely recommend Amazon OpenSearch Service to other professionals due to its fast and reliable search capabilities."
"The initial set up is very easy...We really appreciate Amazon!"
"The business analytics capabilities are the most important feature it provides."
"The solution's most valuable features are anomaly detection and connectivity reporting."
"It is the best open-source product for people working in SO, managing and analyzing logs."
"The scalability is good. It can be scaled easily in the production environment."
"Just the ability to do a lot more than just up-down is nice, which a lot of people take for granted."
"Elastic Security is very customizable, and the dashboards are very easy to build."
"The indexes allow you to get your results quickly. The filtering and log passing is the advantage of Logstash."
"It's very customizable, which is quite helpful."
"The performance is good and it is faster than IBM QRadar."
 

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."
"As a user, lower prices or reasonable pricing is always better."
"The price is fair yet leans towards the expensive side. I'd rate it five out of ten with respect to capabilities vs. cost."
"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."
"One improvement I would like to see is support for auto-scaling."
"I want to see a new feature in Amazon Elasticsearch Service that allows users to create default filters for filtered levels."
"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."
"In terms of what could be improved with Elastic, in some use cases, especially on the advanced level, they are not ready made, so you'll have to write some scripts."
"This solution is very hard to implement."
"Their visuals and graphs need to be better."
"Anything that supports high availability or ease of deployment in a highly available environment would help to improve this solution."
"There should be a simulation environment to check whether my Elastic implementation is functioning perfectly fine. Other solutions have their own Android and iOS applications that I can install on my mobile so that I am continuously connected to the SIEM."
"The solution needs to be more reactive to investigations. We need to be able to detect and prevent any attacks before it can damage our infrastructure. Currently, this solution doesn't offer that."
"The problem with ELK is it's difficult to administer. When you have a problem, it can be very, very difficult to rebuild indexes."
"The solution could also use better dashboards. They need to be more graphical, more matrix-like."
 

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."
"The solution is not expensive, but priced averagely, I will say."
"You only pay for what you use."
"When compared to other products, the price is average or on the low side."
"The base product is open-source but if you need advanced security features then you need to pay for the subscription. Elastic Security's price is reasonable in some cases and in other cases it's not."
"The price is reasonable. It probably costs the same as ArcSight and LogRhythm SIEM. FortiSIEM might cost less than Elastic Security. There are no hidden or additional costs."
"It is easy to deploy, easy to use, and you get everything you need to become operational with it, and have nothing further to pay unless you want the OLED plugin."
"The tool's pricing is flexible and comes at unit cost. You don't have to pay for everything."
"We are using the free, open-source version of this solution."
"Elastic Security is free to use."
"The pricing is in the middle. I think it is not an expensive experience if we compare it with big names, for example, QRadar, and also Oxide. I think Elastic Security is quite cheap. I would rate the pricing of this solution a five out of ten."
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Top Industries

By visitors reading reviews
Financial Services Firm
15%
Manufacturing Company
10%
Computer Software Company
10%
Government
7%
Computer Software Company
10%
Government
9%
Comms Service Provider
9%
Manufacturing Company
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business7
Midsize Enterprise2
Large Enterprise3
By reviewers
Company SizeCount
Small Business40
Midsize Enterprise11
Large Enterprise15
 

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?
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 prov...
Datadog vs ELK: which one is good in terms of performance, cost and efficiency?
With Datadog, we have near-live visibility across our entire platform. We have seen APM metrics impacted several times lately using the dashboards we have created with Datadog; they are very good c...
What do you like most about Elastic Security?
Elastic provides the capability to index quickly due to the reverse indexes it offers. This data is crucial as it contains critical information. The reverse index allows fast data indexing because ...
What is your experience regarding pricing and costs for Elastic Security?
I am satisfied with the pricing, setup cost, and licensing cost. It is a pure 10.
 

Also Known As

Amazon Elasticsearch Service
Elastic SIEM, ELK Logstash
 

Overview

 

Sample Customers

VIDCOIN, Wyng, Yellow New Zealand, zipMoney, Cimri, Siemens, Unbabel
Texas A&M, U.S. Air Force, NuScale Power, Martin's Point Health Care
Find out what your peers are saying about Amazon OpenSearch Service vs. Elastic Security and other solutions. Updated: March 2026.
884,732 professionals have used our research since 2012.