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Amazon OpenSearch Service vs Azure AI Search 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 Search as a Service
3rd
Average Rating
7.6
Reviews Sentiment
7.2
Number of Reviews
12
Ranking in other categories
Application Performance Monitoring (APM) and Observability (24th), Log Management (20th)
Azure AI Search
Ranking in Search as a Service
5th
Average Rating
7.4
Number of Reviews
8
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of October 2025, in the Search as a Service category, the mindshare of Amazon OpenSearch Service is 4.5%, down from 14.3% compared to the previous year. The mindshare of Azure AI Search is 10.2%, down from 13.8% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Search as a Service Market Share Distribution
ProductMarket Share (%)
Amazon OpenSearch Service4.5%
Azure AI Search10.2%
Other85.3%
Search as a Service
 

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…
Sandeep Srirangam - PeerSpot reviewer
Customer engagement & documentation about APIs are great, but it would be good if the UI is a bit more intuitive for search experience
I use the solution mainly to search the logs and to search for VMs by their names or subscription names. I wouldn't rate it great since the logs are a bit complicated The solution was really pretty good. The customer engagement was good. The presented documentation or exposure to the APIs to get…

Quotes from Members

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

Pros

"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."
"I would definitely recommend Amazon OpenSearch Service to other professionals due to its fast and reliable search capabilities."
"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!"
"The business analytics capabilities are the most important feature it provides."
"In case there is a failure, Elastic manages everything well, and there no major downtime."
"This service already sorts data like vectors. They have classified the storage pre-defined."
"The product is extremely configurable, allowing you to customize the search experience to suit your needs."
"Azure Search is well-documented, making it easy to understand and implement."
"Offers a tremendous amount of flexibility and scalability when integrating with applications."
"The customer engagement was good."
"Because all communication is done via the REST API, data is retrieved quickly in JSON format to reduce overhead and latency.​"
"The amount of flexibility and agility is really assuring."
"The product is pretty resilient."
"The solution's initial setup is straightforward."
 

Cons

"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 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."
"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."
"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."
"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."
"The price is fair yet leans towards the expensive side. I'd rate it five out of ten with respect to capabilities vs. cost."
"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 solution's stability could be better."
"It would be good if the site found a better way to filter things based on subscription."
"For SDKs, Azure Search currently offers solutions for .NET and Python. Additional platforms would be welcomed, especially native iOS and Android solutions for mobile development."
"The initial setup is not as easy as it should be."
"The after-hour services are slow."
"For availability, expanding its use to all Azure datacenters would be helpful in increasing awareness and usage of the product.​"
"Adding items to Azure Search using its .NET APIs sometimes throws exceptions."
"They should add an API for third-party vendors, like a security operating center or reporting system, that would be a big improvement."
 

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."
"The solution is affordable."
"For the actual costs, I encourage users to view the pricing page on the Azure site for details.​"
"I think the solution's pricing is ok compared to other cloud devices."
"I would rate the pricing an eight out of ten, where one is the low price, and ten is the high price."
"​When telling people about the product, I always encourage them to set up a new service using the free pricing tier. This allows them to learn about the product and its capabilities in a risk-free environment. Depending on their needs, the free tier may be suitable for their projects, however enterprise applications will most likely required a higher, paid tier."
"The cost is comparable."
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Top Industries

By visitors reading reviews
Financial Services Firm
16%
Computer Software Company
12%
Manufacturing Company
9%
Government
8%
Computer Software Company
23%
Financial Services Firm
13%
Retailer
9%
Manufacturing Company
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business7
Midsize Enterprise2
Large Enterprise2
By reviewers
Company SizeCount
Small Business2
Midsize Enterprise2
Large Enterprise4
 

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 Azure Search?
The after-hour services are slow. It could be better.
 

Also Known As

Amazon Elasticsearch Service
No data available
 

Overview

 

Sample Customers

VIDCOIN, Wyng, Yellow New Zealand, zipMoney, Cimri, Siemens, Unbabel
XOMNI, Real Madrid C.F., Weichert Realtors, JLL, NAV CANADA, Medihoo, autoTrader Corporation, Gjirafa
Find out what your peers are saying about Amazon OpenSearch Service vs. Azure AI Search and other solutions. Updated: September 2025.
868,706 professionals have used our research since 2012.