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Amazon OpenSearch Service vs ChaosSearch 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)
ChaosSearch
Ranking in Log Management
49th
Average Rating
6.0
Reviews Sentiment
4.6
Number of Reviews
1
Ranking in other categories
No ranking in other categories
 

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 ChaosSearch is 0.3%, up from 0.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Log Management Market Share Distribution
ProductMarket Share (%)
Amazon OpenSearch Service2.2%
ChaosSearch0.3%
Other97.5%
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.
reviewer2593014 - PeerSpot reviewer
Senior Data Engineer at a financial services firm with 1,001-5,000 employees
Cost-effective logging solution with room for search and interface improvement
Our primary use case is logging for everything within the company. We have a custom LogShipper, and for whatever deployments we have, we add the LogShipper into our containers, apply customer configurations to parse log files, and send desired fields to ChaosSearch. We then review logs on…

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."
"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 most valuable features of Amazon Elasticsearch are ease of use, native JSON, and efficiency. Additionally, handles many use cases and search grammar was useful."
"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 stability of the product is good."
"This service already sorts data like vectors. They have classified the storage pre-defined."
"I would definitely recommend Amazon OpenSearch Service to other professionals due to its fast and reliable search capabilities."
"ChaosSearch is considered a cheaper alternative to Elastic."
"ChaosSearch is considered a cheaper alternative to Elastic."
 

Cons

"I want to see a new feature in Amazon Elasticsearch Service that allows users to create default filters for filtered levels."
"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."
"One improvement I would like to see is support for auto-scaling."
"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 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."
"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."
"During my time at Klarna, I didn't see any improvements from using ChaosSearch."
"The user interface could be more intuitive and requires improvement."
 

Pricing and Cost Advice

"Compared to other cloud platforms, it is manageable and not very expensive."
"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."
Information not available
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Top Industries

By visitors reading reviews
Financial Services Firm
15%
Computer Software Company
10%
Manufacturing Company
10%
Government
7%
No data available
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business7
Midsize Enterprise2
Large Enterprise3
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?
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...
What is your experience regarding pricing and costs for ChaosSearch?
Pricing was a significant factor in choosing ChaosSearch, especially as an alternative to more expensive solutions like Elastic.
What needs improvement with ChaosSearch?
The user interface could be more intuitive and requires improvement. The search function often feels wonky, making it difficult to find specific messages. There should be documentation or feature e...
What is your primary use case for ChaosSearch?
Our primary use case is logging for everything within the company. We have a custom LogShipper, and for whatever deployments we have, we add the LogShipper into our containers, apply customer confi...
 

Also Known As

Amazon Elasticsearch Service
No data available
 

Overview

 

Sample Customers

VIDCOIN, Wyng, Yellow New Zealand, zipMoney, Cimri, Siemens, Unbabel
Transeo, HubSpot, Revinate
Find out what your peers are saying about Wazuh, Splunk, Datadog and others in Log Management. Updated: January 2026.
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