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Amazon AWS CloudSearch vs Amazon OpenSearch Service comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Jun 3, 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 AWS CloudSearch
Ranking in Search as a Service
7th
Average Rating
8.4
Number of Reviews
13
Ranking in other categories
No ranking in other categories
Amazon OpenSearch Service
Ranking in Search as a Service
3rd
Average Rating
7.6
Reviews Sentiment
6.7
Number of Reviews
13
Ranking in other categories
Application Performance Monitoring (APM) and Observability (21st), Log Management (17th)
 

Mindshare comparison

As of August 2026, in the Search as a Service category, the mindshare of Amazon AWS CloudSearch is 5.5%, down from 8.0% compared to the previous year. The mindshare of Amazon OpenSearch Service is 12.3%, up from 5.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Search as a Service Mindshare Distribution
ProductMindshare (%)
Amazon OpenSearch Service12.3%
Amazon AWS CloudSearch5.5%
Other82.2%
Search as a Service
 

Featured Reviews

HM
Software Developer at ECFY Consulting Private Limited
Search workflows have become faster and our team manages operational records more efficiently
Improvements for Amazon AWS CloudSearch can be made, but I will first start with the biggest improvement. The biggest improvement area is that Amazon AWS CloudSearch feels a little older compared to newer AWS services. The second thing about improvement is the documentation. The documentation could definitely be refreshed with more practical examples and troubleshooting scenarios. During setup, a few indexing issues took longer to diagnose because error messages were pretty generic. Better debugging visibility would reduce trial-and-error work. Monitoring is decent through Amazon CloudWatch, but I would like more detailed search-level diagnostics out of the box. Sometimes it is not obvious why certain queries rank results differently unless you manually test a lot. More transparent query analysis, indexing, and insights would be useful. Logging exists, but deeper visibility would help during optimization.
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.

Quotes from Members

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

Pros

"The initial setup is straightforward."
"In our case, AWS is the best in the market, actually."
"The best feature is its scalability in that Cloud is always on the fly."
"It is remarkably efficient and beneficial."
"The most valuable feature of Amazon AWS CloudSearch is the cloud aspect. I do not need to have the physical infrastructure, everything is in the cloud."
"Amazon AWS CloudSearch is practical and dependable for teams that want managed search without a lot of infrastructure management."
"There are plenty of services from the database, with many valuable features, good scalability and agility, okay pricing, good solution quality, strong optimization, and customization that can work with any other cloud platforms."
"AWS CloudSearch's best features are good performance under high CPU and memory use, and ease of deployment and scaling."
"It's a good log management platform. In terms of infrastructure management, it's good."
"Amazon OpenSearch Service provides a managed database solution, so we don't need to manage everything ourselves."
"It's actually easier to collaborate since it is already deployed in the AWS cloud itself."
"I would definitely recommend Amazon OpenSearch Service to other professionals due to its fast and reliable search capabilities."
"The business analytics capabilities are the most important feature it provides."
"Amazon OpenSearch Service has enhanced our organization's ability to store and search large amounts of data efficiently."
"In case there is a failure, Elastic manages everything well, and there no major downtime."
"It enables us to efficiently search and retrieve our event data, offering us a versatile approach to locate specific information within these logs."
 

Cons

"Security is a concern but they're working on it."
"Amazon AWS CloudSearch is highly stable. However, the speed depends on your internet connection."
"Maybe they are common in Egypt, but you should make a request on Amazon to create a function to monitor CPU performance, memory, and files. It is very difficult in AWS. I would tell them it should be simple, just drag and drop. I think they could develop this option so we can drag and drop to monitor performance of the processor and memory."
"Index cleanup is sometimes painful. No easy way to clean indexes or a bulk of documents. Full indexing or regeneration of entire indexes sometimes gets stuck. In one instance, we had to delete the entire index and re-create it."
"We'd like to see more database features."
"I do not have any suggestions for improvements at this time."
"The solution should improve the recovery aspects that it has on offer."
"In terms of what needs improvement, I would say that it needs to keep its cost competitive in the market, especially in comparison to other clouds."
"I want to see a new feature in Amazon Elasticsearch Service that allows users to create default filters for filtered levels."
"As a user, lower prices or reasonable pricing is always better."
"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."
"There is the problem with the database. Amazon only provides the host to run to our applications bias, but there is no option to manage the database within the Elasticsearch product."
"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."
"They can enhance data visualization."
 

Pricing and Cost Advice

"We chose AWS because of its cost and stability."
"On a scale of one to ten, where one point is cheap, and ten points are expensive, I rate the pricing as medium or reasonable."
"Amazon AWS CloudSearch charging is based on how many resources you consume or and the solution is known to be a bit expensive."
"Our license costs around $4,000 per month."
"I'm not sure how much we pay a year. It might be around $30,000 a year."
"There was no license needed to use this solution."
"In comparison to IBM and Microsoft, the pricing is more favorable."
"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."
"You only pay for what you use."
"The solution is not expensive, but priced averagely, I will say."
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Top Industries

By visitors reading reviews
Construction Company
12%
Outsourcing Company
9%
Comms Service Provider
9%
Educational Organization
8%
Financial Services Firm
16%
Manufacturing Company
10%
Computer Software Company
9%
Government
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business4
Midsize Enterprise2
Large Enterprise6
By reviewers
Company SizeCount
Small Business7
Midsize Enterprise2
Large Enterprise4
 

Questions from the Community

What is your experience regarding pricing and costs for Amazon AWS CloudSearch?
We purchased Amazon AWS CloudSearch through the AWS Marketplace. Pricing was understandable once we estimated indexing volume and query traffic. Though it can grow if you scale instances aggressive...
What needs improvement with Amazon AWS CloudSearch?
Improvements for Amazon AWS CloudSearch can be made, but I will first start with the biggest improvement. The biggest improvement area is that Amazon AWS CloudSearch feels a little older compared t...
What is your primary use case for Amazon AWS CloudSearch?
The main use case for us was to search the operational records from our company databases and perform full-text search across operational records and uploaded documents. We needed something where u...
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 primary use case for Amazon OpenSearch Service?
Amazon OpenSearch Service is a user-friendly version of Elasticsearch, as per my understanding. I have been using it for our volunteer management system where around 5,000 to 6,000 users are using ...
 

Also Known As

No data available
Amazon Elasticsearch Service
 

Overview

 

Sample Customers

SmugMug
VIDCOIN, Wyng, Yellow New Zealand, zipMoney, Cimri, Siemens, Unbabel
Find out what your peers are saying about Amazon AWS CloudSearch vs. Amazon OpenSearch Service and other solutions. Updated: June 2026.
908,834 professionals have used our research since 2012.