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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

"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 customer service is excellent, rated nine out of ten."
"Our customers have seen tangible benefits from Amazon OpenSearch Service, especially in terms of their applications running smoothly, so they do get a return on investment."
"I would definitely recommend Amazon OpenSearch Service to other professionals due to its fast and reliable search capabilities."
"It's a good log management platform. In terms of infrastructure management, it's good."
"They have the good documentation in the help text and that is the reason the Amazon is the perfect solution in the current market."
"The stability of the product is good."
"The product is pretty resilient."
"The solution's initial setup is straightforward."
"Offers a tremendous amount of flexibility and scalability when integrating with applications."
"The product is extremely configurable, allowing you to customize the search experience to suit your needs."
"The search functionality time has been reduced to a few milliseconds."
"Azure Search is well-documented, making it easy to understand and implement."
"Creates indexers to get data from different data sources."
"Because all communication is done via the REST API, data is retrieved quickly in JSON format to reduce overhead and latency.​"
 

Cons

"The price is fair yet leans towards the expensive side. I'd rate it five out of ten with respect to capabilities vs. cost."
"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."
"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."
"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."
"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."
"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."
"One improvement I would like to see is support for auto-scaling."
"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."
"For availability, expanding its use to all Azure datacenters would be helpful in increasing awareness and usage of the product.​"
"The solution's stability could be better."
"The pricing is room for improvement."
"It would be good if the site found a better way to filter things based on subscription."
"They should add an API for third-party vendors, like a security operating center or reporting system, that would be a big improvement."
"The after-hour services are slow."
"The initial setup is not as easy as it should be."
 

Pricing and Cost Advice

"The solution is not expensive, but priced averagely, I will say."
"You only pay for what you use."
"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."
"​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."
"I would rate the pricing an eight out of ten, where one is the low price, and ten is the high price."
"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."
"The solution is affordable."
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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.
868,759 professionals have used our research since 2012.