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Amazon OpenSearch Service vs Logsign Next-Gen SIEM comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Aug 11, 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
20th
Average Rating
7.6
Reviews Sentiment
7.2
Number of Reviews
12
Ranking in other categories
Application Performance Monitoring (APM) and Observability (25th), Search as a Service (2nd)
Logsign Next-Gen SIEM
Ranking in Log Management
40th
Average Rating
7.6
Reviews Sentiment
7.1
Number of Reviews
4
Ranking in other categories
Security Information and Event Management (SIEM) (46th)
 

Mindshare comparison

As of August 2025, in the Log Management category, the mindshare of Amazon OpenSearch Service is 2.7%, up from 0.5% compared to the previous year. The mindshare of Logsign Next-Gen SIEM is 0.4%, up from 0.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Log Management
 

Featured Reviews

Johnny Suleiman - PeerSpot reviewer
Scalability is a key feature as it allows easy scaling of the platform without downtime
OpenSearch is used as a search engine for specific logs, mainly in e-commerce and monitoring the logs themselves. It is very valuable for e-commerce, enabling data analysis on application logs and customer behavior, and can be integrated with other services, including AI and machine learning…
Ayaz Ahmed - PeerSpot reviewer
Works well for threat detection and security
Improvements needed in Logsign SIEM are providing specific security alerts that can be filtered and configured more effectively. There should be a focus on delivering alerts tailored to specific needs rather than overwhelming users with numerous alerts. Additionally, incorporating more mature data about threats is necessary for better threat detection.

Quotes from Members

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

Pros

"In case there is a failure, Elastic manages everything well, and there no major downtime."
"The stability of the product is good."
"Amazon OpenSearch Service has enhanced our organization's ability to store and search large amounts of data efficiently."
"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"
"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 initial set up is very easy...We really appreciate Amazon!"
"It enables us to efficiently search and retrieve our event data, offering us a versatile approach to locate specific information within these logs."
"Amazon OpenSearch Service provides a managed database solution, so we don't need to manage everything ourselves."
"Logsign provides sample logs within the product, allowing users to see how logs will appear before integration, which is a valuable feature for testing and understanding log formats."
"It has full automation and automated SIEM responses."
"The most valuable features of Logsign SIEM are its cloud capabilities, alerting functionality, integration with Elastic Search, and configuration options."
 

Cons

"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."
"One improvement I would like to see is support for auto-scaling."
"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."
"The configuration should be more straightforward because we had to select a lot of things."
"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."
"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."
"I want to see a new feature in Amazon Elasticsearch Service that allows users to create default filters for filtered levels."
"Improvements needed in Logsign SIEM are providing specific security alerts that can be filtered and configured more effectively."
"AI and machine learning need to be developed. If they develop those features, I think everything will be fine."
"I hope they address the pricing model for Logsign Next-Gen SIEM, especially regarding regional variations. The pricing should not differ based on the country of operation as it can lead to dissatisfaction among customers. A fixed pricing structure would be more favorable for us. I would also suggest enhancing the GUI interface and adding features similar to xFi Exchange from IBM Pure. This would streamline operations and save time for analysts."
 

Pricing and Cost Advice

"You only pay for what you use."
"There is a community edition available and the price of the commercial offering is reasonable."
"The solution is not expensive, but priced averagely, I will say."
"Compared to other cloud platforms, it is manageable and not very expensive."
"Compared to other SIEMs, it has low pricing."
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Top Industries

By visitors reading reviews
Financial Services Firm
16%
Computer Software Company
13%
Manufacturing Company
9%
Government
8%
Computer Software Company
11%
Comms Service Provider
11%
Government
8%
University
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
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...
What needs improvement with Logsign Next-Gen SIEM?
It does not have much AI and machine learning features yet. They are developing them and will be releasing them in a few months.
What is your primary use case for Logsign Next-Gen SIEM?
We use Logsign SIEM for various tasks in our daily operations. One key use case is for forensic analysis. We also use it to monitor critical servers and generate security alerts for actions like lo...
What advice do you have for others considering Logsign Next-Gen SIEM?
Overall, I would rate it an eight out of ten. AI and machine learning need to be developed. If they develop those features, I think everything will be fine. I can recommend it. Not for large enterp...
 

Also Known As

Amazon Elasticsearch Service
No data available
 

Overview

 

Sample Customers

VIDCOIN, Wyng, Yellow New Zealand, zipMoney, Cimri, Siemens, Unbabel
Turkish Petroleum, Tırsan, DP World, SAC American Colleges, Robert College, Unlu&Co, UniCo Insurance Company, ETSTur, CK Energy, UEDAS Energy, Wilo, Eurocross Assistance, Deloitte Turkey, Incı GS Yuasa, Pappara, Bilgi University, Anadolu University, İstanbul University, The Ministry of Energy and Natural Resources, TRT, Anadolu Media Agency, Ministry of Family, Labour and Social Services, Ispark, Spor AS and wide range of enterprises in different industries. 
Find out what your peers are saying about Amazon OpenSearch Service vs. Logsign Next-Gen SIEM and other solutions. Updated: July 2025.
865,384 professionals have used our research since 2012.