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Amazon OpenSearch Service vs Elastic Security 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
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) (14th), Security Orchestration Automation and Response (SOAR) (5th), Extended Detection and Response (XDR) (8th)
 

Mindshare comparison

As of February 2026, in the Log Management category, the mindshare of Amazon OpenSearch Service is 2.2%, up from 1.8% compared to the previous year. The mindshare of Elastic Security is 2.9%, down from 3.9% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Log Management Market Share Distribution
ProductMarket Share (%)
Elastic Security2.9%
Amazon OpenSearch Service2.2%
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

"It's a good log management platform. In terms of infrastructure management, it's good."
"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."
"Amazon OpenSearch Service has enhanced our organization's ability to store and search large amounts of data efficiently."
"This service already sorts data like vectors. They have classified the storage pre-defined."
"In case there is a failure, Elastic manages everything well, and there no major downtime."
"The stability of the product is good."
"It's actually easier to collaborate since it is already deployed in the AWS cloud itself."
"They have the good documentation in the help text and that is the reason the Amazon is the perfect solution in the current market."
"ELK is open-source, and it will give you the framework you need to build everything from scratch."
"Elastic is straightforward, easy to integrate, and highly customizable."
"Just the ability to do a lot more than just up-down is nice, which a lot of people take for granted."
"I can look at events from more than one source across multiple different locations and find patterns or anomalies. The machine learning capabilities are helpful, and I can create rules for notifications to be more proactive rather than responding after something has gone wrong."
"The stability of the solution is good."
"Enables monitoring of application performance and the ability to predict behaviors."
"The solution is compatible with the cloud-native environment and they can adapt to it faster."
"The most valuable feature is the machine learning capability."
 

Cons

"As a user, lower prices or reasonable pricing is always better."
"One improvement I would like to see is support for auto-scaling."
"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."
"We faced documentation challenges during integration after migrating from Elasticsearch to Amazon OpenSearch Service. Better documentation on integration, query handling, and a more user-friendly UI could enhance the product."
"Amazon Elasticsearch can improve the bullion in the near search and the ease of integration with Kibana. Additionally, there could be more flexibility in the configuration and documentation."
"I want to see a new feature in Amazon Elasticsearch Service that allows users to create default filters for filtered levels."
"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."
"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 solution's basic setup takes time, and a lot of effort is required from the beginning to make it actually work."
"There is room for improvement in the Kibana dashboard and in the asset management for the program."
"One thing they could add is a quick step to enable users who don't have a solid background to build a dashboard and quickly search, without difficulty."
"We're using the open-source edition, for now, I think maybe they can allow their OLED plugin to be open source, as at the moment it is commercialised."
"Elastic Security can be a bit difficult to use if a person only has experience in SMBs with tools like Zoho. The product can also be difficult for those who have never dealt with query language."
"The price of this product could be improved, especially the additional costs. I would also like to see better-quality graphics."
"Technical support could respond faster."
"The biggest challenge has been related to the implementation."
 

Pricing and Cost Advice

"There is a community edition available and the price of the commercial offering is reasonable."
"You only pay for what you use."
"Compared to other cloud platforms, it is manageable and not very expensive."
"The solution is not expensive, but priced averagely, I will say."
"The tool's pricing is flexible and comes at unit cost. You don't have to pay for everything."
"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."
"I find it better than Splunk in terms of cost-effectiveness. For cost-effectiveness, I would rate it a nine out of 10."
"When compared to other products, the price is average or on the low side."
"There is no charge for using the open-source version."
"It's a monthly cost with Elastic SIEM, but I am not sure of the exact cost."
"This is an open-source product, so there are no costs."
"The licensing cost of Elastic Security is based on the daily ingestion rate. I can't recall the exact figure, but for 10GB of log action daily, it would cost around $20,000."
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Top Industries

By visitors reading reviews
Financial Services Firm
15%
Computer Software Company
10%
Manufacturing Company
10%
Government
7%
Computer Software Company
11%
Government
9%
Comms Service Provider
8%
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: February 2026.
882,103 professionals have used our research since 2012.