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Amazon OpenSearch Service vs LogRhythm SIEM 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)
LogRhythm SIEM
Ranking in Log Management
13th
Average Rating
8.4
Reviews Sentiment
6.4
Number of Reviews
175
Ranking in other categories
Security Information and Event Management (SIEM) (9th)
 

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 LogRhythm SIEM is 2.4%, up from 2.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Log Management Market Share Distribution
ProductMarket Share (%)
LogRhythm SIEM2.4%
Amazon OpenSearch Service2.4%
Other95.2%
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.
SV
Cyber Security Engineer at Diyar United Company
Provides strong detection capabilities but requires improvements in parsing and stability
I cannot think of any specific features that LogRhythm SIEM can improve upon since it supports a wide variety of major vendors. However, they need to improve their parsing techniques; the tool should understand various devices and present data in a human-readable format. For example, if a personal Android mobile needs to be integrated, LogRhythm SIEM should be able to parse that data effectively. They also need to improve their database of supported devices to cover smaller vendors alongside the major players, allowing for better global reach and usability. I have noticed some problems with parsing errors, event mismatches, and data mismatching, so ensuring accurate parsing and continuous improvement according to device updates are my basic expectations as a detection engineer.

Quotes from Members

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

Pros

"Amazon OpenSearch Service provides a managed database solution, so we don't need to manage everything ourselves."
"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 business analytics capabilities are the most important feature it provides."
"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."
"The customer service is excellent, rated nine out of ten."
"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"
"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."
"Technical support has always been helpful."
"I have found the Advanced Intelligence Engine has provided the most value to us because we can customize alarms based on our requirements and have created hundreds of alarms that notify different people for different scenarios."
"I find LogRhythm's log management capabilities to be beneficial."
"It has allowed us to dive deeper into our network and figure out what is going on by parsing logs properly and being able to reduce the time it takes to work cases down from seven days to approximately two days."
"The major feature of this solution is its easy configuration which helps different team members to work on it effectively. This kind of feature is not available in other solutions because of a request for specialised schemes for configuration report extraction and searching. Another feature that I really admire is the significant improvement in the compliance in the auditing process by the solution. Our organisation-specific complaints require where the mailbox data needs to be forwarded, stored and searchable for a certain time period. This solution categorises data based on different types, which include cold, warm and hot data. These features allow faster and easier extraction of any data even if the event was occurring several years ago. I also like other features, especially user behaviour analysis and automation. If suddenly someone accesses your side or an unusual traffic is recorded from a user the solution flags it very effectively."
"NextGen SIEM's best feature is how it presents logs."
"AXON has the ability to add and compare use cases."
"Our clients enjoy having one dashboard to monitor their environments in real time."
 

Cons

"One improvement I would like to see is support for auto-scaling."
"I would say that, basically, the configuration part is an area with a shortcoming...Some upgradation is required on the configuration side so that we can get to use it."
"They can enhance data visualization."
"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."
"The pricing aspect is a concern. The service is way too costly. For the past month, I used only 30 to 40 MB of data, and the cost was $500. AWS could improve pricing."
"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 improvement I would like to see is support for auto-scaling."
"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."
"The installation was a bit complex because we are running a virtual infrastructure."
"I think they probably need to, because a lot of companies are having this cloud-first strategy, where anything that's new has to go into the cloud for some reason."
"There is room for improvement with separate running sources or better integration."
"I think there is room for improvement because the system is still running on the Windows Server platform. The problem with running on Windows is that it is not that good for scaling and providing for big deployment environments."
"I would like to see support added for Exchange 2016, and CheckPoint OPSec Lea."
"We had a little bit of difficulty implementing a disaster recovery situation because it was leveraging only Microsoft native DNS and it wouldn't work with our Infoblox DNS deployment that we use in our environment. They've been working on that behind the scenes."
"Sometimes the error-logging is not altogether helpful. For example, on an upgrade, a systems data processor, a Windows box, was throwing an error code like 1083. Then it just stopped and it died right out of the installer and nobody looked. We searched through Google and what it means is the Windows Firewall wasn't turned on so that it could create a rule for the product. Why wouldn't they bubble up that description so that I wouldn't have to call support and I could just know, "Okay, the firewall wasn't turned on. Turn it back on. Re-run the installer and keep going.""
"The pricing is the only problem."
 

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."
"We work with French-speaking African countries, and it costs more than the average SIEM solution. Also, the pricing isn't too flexible. AlienVault, Splunk, and IBM QRadar are more suitable for customers on a tight budget."
"LogRhythm's licensing is based on MPS. There are some add-on features like advanced UEBA, the cloud component for advanced UEBA, and SIEM."
"We have seen a measurable decrease in the mean time to detect and respond to threats. As it comes out new features and new releases, the window is becoming a lot narrower because you can pivot a lot more with the data. Therefore, the new features and enhancements are reducing that."
"NextGen SIEM's pricing is moderate."
"I think the tool is reasonably priced. There is a need to pay per year towards the licensing costs of the tool."
"I would recommend talking to the rep. That's the biggest thing because they will know what questions to ask."
"I would rate the tool's pricing around eight out of ten."
"I would recommend that whatever sales quotes to them upfront, they will probably go up. Because they are probably going to outgrow that very quickly or once they start getting everything into it, they are going to have to move up anyway."
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Top Industries

By visitors reading reviews
Financial Services Firm
15%
Computer Software Company
11%
Manufacturing Company
10%
Government
7%
Computer Software Company
11%
Government
9%
Manufacturing Company
8%
Financial Services Firm
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business8
Midsize Enterprise2
Large Enterprise2
By reviewers
Company SizeCount
Small Business38
Midsize Enterprise38
Large Enterprise83
 

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...
What is the difference between log management and SIEM?
Rony, Daniel's answer is right on the money. There are many solutions for each in the market, a lot depends upon your ability to manage such tools and your budget. A small operation may be best s...
What needs improvement with LogRhythm NextGen SIEM?
One major area for improvement in LogRhythm SIEM is the lack of volume measurement capability in terms of storage. There is currently no way to determine how much data is being consumed in terms of...
What do you like most about LogRhythm SIEM?
I find LogRhythm's log management capabilities to be beneficial.
 

Also Known As

Amazon Elasticsearch Service
LogRhythm NextGen SIEM, LogRhythm, LogRhythm Threat Lifecycle Management, LogRhythm TLM
 

Overview

 

Sample Customers

VIDCOIN, Wyng, Yellow New Zealand, zipMoney, Cimri, Siemens, Unbabel
Macy's, NASA, Fujitsu, US Air Force, EY, Abbott, HD Supply, SAB Miller, UCLA, Raytheon, Amtrak, Cargill
Find out what your peers are saying about Amazon OpenSearch Service vs. LogRhythm SIEM and other solutions. Updated: December 2025.
881,082 professionals have used our research since 2012.