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Amazon AWS CloudSearch vs Elastic Search comparison

 

Comparison Buyer's Guide

Executive Summary

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
6th
Average Rating
8.4
Number of Reviews
13
Ranking in other categories
No ranking in other categories
Elastic Search
Ranking in Search as a Service
1st
Average Rating
8.2
Reviews Sentiment
6.5
Number of Reviews
99
Ranking in other categories
Indexing and Search (1st), Cloud Data Integration (5th), Vector Databases (5th)
 

Mindshare comparison

As of June 2026, in the Search as a Service category, the mindshare of Amazon AWS CloudSearch is 5.5%, down from 8.3% compared to the previous year. The mindshare of Elastic Search is 17.2%, up from 16.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Search as a Service Mindshare Distribution
ProductMindshare (%)
Elastic Search17.2%
Amazon AWS CloudSearch5.5%
Other77.3%
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.
reviewer2817942 - PeerSpot reviewer
Senior Software Engineer at a consultancy with 11-50 employees
Logging and vector search have transformed observability and empowered reliable ai agents
Elastic Search is not specifically being used for certain purposes. I deploy Elastic Search database on the cloud and use cloud services so that nobody can attack. However, I do not use Elastic Search to resolve attack issues. The basic main purpose of Elastic Search, as of now, I feel it can do more in the AI area. Sometime I saw that when I am developing RAG and have to generate the embeddings, which I call metadata, sometimes it tries to fail. That durability or issue handling should be improved, but apart from that, I did not find anything as of now. As per my use case, whatever I am using seems pretty good. Apart from that, some definitely improvement will be there. One improvement is that it should be faster. Whenever I am searching any logs, it takes much time. For example, if I open my log in Notepad or a similar tool, I can search the text within a second. With Elastic Search, it takes a little bit of time, ten to fifteen seconds. That can be improved. Sometimes, engineers take time to assign when I create a ticket.

Quotes from Members

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

Pros

"It's the best solution for any company. It has a hosting ERP system for any task. AWS is stable. AWS is more flexible and its elastic concept is a new concept. AWS is also very secure. It has many layers of security, like hardware security and software security. This is a big issue."
"It is remarkably efficient and beneficial."
"We were able to build the core search functionality using this product."
"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."
"The best feature is its scalability in that Cloud is always on the fly."
"Document indexing, text-based search API, and Geospatial searches are all good features."
"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."
"Amazon AWS CloudSearch is practical and dependable for teams that want managed search without a lot of infrastructure management."
"ELK being an open source certainly provided a platform for our organization to get involved."
"Data indexing of historical data is the most beneficial feature of the product."
"The best feature of Elastic Search is it does exactly what it says."
"Using real-time search functionality to support operational decisions has been helpful."
"The products comes with REST APIs."
"It gives us the possibility to store and query this data and also do this efficiently and securely and without delays."
"I appreciate the indexing capabilities and the speed of indexing in their product, which demonstrates how quickly logs are collected and stored."
"The full text search capabilities in Elastic Search have proven to be extremely valuable for our operations."
 

Cons

"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."
"Amazon's technical support needs to improve as they only solve about half our problems."
"I do not have any suggestions for improvements at this time."
"The biggest improvement area is that Amazon AWS CloudSearch feels a little older compared to newer AWS services."
"The solution should improve the recovery aspects that it has on offer."
"Amazon AWS CloudSearch is highly stable. However, the speed depends on your internet connection."
"Latlon data type only supports single value per document. All other types support multiple values. We faced issues with this because we had scenarios where, for each document, we needed to store multiple latlon values for different geographical locations."
"The price of the solution can be expensive."
"Improving machine learning capabilities would be beneficial."
"Both the graph feature and the reporting feature are a little bit lacking. The alerting also needs to be improved."
"The price could be better."
"Elastic Enterprise Search could improve its SSL integration easier. We should not need to go to the back-end servers to do configuration, we should be able to do it on the GUI."
"The solution must provide AI integrations."
"There are some features lacking in ELK Elasticsearch."
"More AI would be beneficial. I would also appreciate more simplicity in dashboards."
"Performance improvement could come from skipping background refresh on search idle shards (which is already being addressed in the upcoming seventh version)."
 

Pricing and Cost Advice

"We chose AWS because of its cost and stability."
"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."
"Amazon AWS CloudSearch charging is based on how many resources you consume or and the solution is known to be a bit expensive."
"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."
"There was no license needed to use this solution."
"In comparison to IBM and Microsoft, the pricing is more favorable."
"We are using the Community Edition because Elasticsearch's licensing model is not flexible or suitable for us. They ask for an annual subscription. We also got the development consultancy from Elasticsearch for 60 days or something like that, but they were just trying to do the same trick. That's why we didn't purchase it. We are just using the Community Edition."
"​The pricing and license model are clear: node-based model."
"The cost varies based on factors like usage volume, network load, data storage size, and service utilization. If your usage isn't too extensive, the cost will be lower."
"The basic license is free, but it comes with a lot of features that aren't free. With a gold license, we get active directory integration. With a platinum license, we get alerting."
"We are using the open-sourced version."
"The version of Elastic Enterprise Search I am using is open source which is free. The pricing model should improve for the enterprise version because it is very expensive."
"The pricing structure depends on the scalability steps."
"The price of Elasticsearch is fair. It is a more expensive solution, like QRadar. The price for Elasticsearch is not much more than other solutions we have."
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Top Industries

By visitors reading reviews
Comms Service Provider
11%
Construction Company
10%
Manufacturing Company
8%
Financial Services Firm
8%
Financial Services Firm
13%
Manufacturing Company
9%
Computer Software Company
8%
Retailer
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 Business40
Midsize Enterprise12
Large Enterprise49
 

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 ELK Elasticsearch?
Elastic Search is easy to use in Azure cloud. Mostly, my full company uses Azure cloud, so it is easy to use. Cost-wise, my company found Elastic Search is good. Cost matters. Based on cost and use...
What needs improvement with ELK Elasticsearch?
The initial configuration could be easier; at first, the learning curve is a little high, and over time, it becomes easier. For me, the initial configuration might be improved.
What is your primary use case for ELK Elasticsearch?
We use Elastic Search for a research application based on paper study, and the primary usage is for indexing the data and then functioning in a similar way to an e-commerce search bar.
 

Also Known As

No data available
Elastic Enterprise Search, Swiftype, Elastic Cloud
 

Overview

 

Sample Customers

SmugMug
T-Mobile, Adobe, Booking.com, BMW, Telegraph Media Group, Cisco, Karbon, Deezer, NORBr, Labelbox, Fingerprint, Relativity, NHS Hospital, Met Office, Proximus, Go1, Mentat, Bluestone Analytics, Humanz, Hutch, Auchan, Sitecore, Linklaters, Socren, Infotrack, Pfizer, Engadget, Airbus, Grab, Vimeo, Ticketmaster, Asana, Twilio, Blizzard, Comcast, RWE and many others.
Find out what your peers are saying about Amazon AWS CloudSearch vs. Elastic Search and other solutions. Updated: June 2026.
900,747 professionals have used our research since 2012.