Try our new research platform with insights from 80,000+ expert users

Algolia vs Amazon OpenSearch Service 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

Algolia
Ranking in Search as a Service
2nd
Average Rating
8.6
Number of Reviews
10
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 (26th), Log Management (22nd)
 

Mindshare comparison

As of January 2026, in the Search as a Service category, the mindshare of Algolia is 9.8%, up from 8.3% compared to the previous year. The mindshare of Amazon OpenSearch Service is 8.7%, down from 10.8% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Search as a Service Market Share Distribution
ProductMarket Share (%)
Algolia9.8%
Amazon OpenSearch Service8.7%
Other81.5%
Search as a Service
 

Featured Reviews

Zaid bin junaid  - PeerSpot reviewer
Product Manager at Flash.co
Navigation has needed simplification while AI search has delivered faster, more relevant answers
Algolia has multiple features, but the one I love most is the AI-powered relevance, which helps us search anything within our systems. It ensures that search results are optimized using accuracy and personalization for our organization. The second feature I value is real-time indexing, which provides instant updates and ensures that search results reflect the latest content and inventory. Additionally, Algolia tailors search based on user behavior. For example, as a user, it tailors the behavior by giving preferences and context. It works on LLM models, which is the main reason they are able to personalize behavior. Another feature I appreciate is the ability to monitor search performance and conversion metrics. The reason Algolia's AI-powered relevance and real-time indexing have made a difference is that the features provided have given us an outstanding service. It works extremely well with no downtime, no defects, and no bugs. Whatever we search for, it provides instant results. That is why we prefer them over others.
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

"Algolia provides some cool functionalities like filtering, indexing, and searching."
"The tool provides users with personalization features that can be used to improve user interface."
"Since Algolia is a SaaS solution, we didn't have to maintain servers, look at the indexes, and monitor services."
"We were working with search products, brands, and different attributes specific to the product; it's faster and easier. The implementation is easy."
"The tool is easy to use, but you need to know how it works."
"It's scalable. It can be scaled massively."
"The tool is worth the money, and I have seen an ROI."
"It has many fine-tuning configurations. Essentially, every single piece of information you pass through it is a free document you can tailor."
"The initial set up is very easy...We really appreciate Amazon!"
"I would definitely recommend Amazon OpenSearch Service to other professionals due to its fast and reliable search capabilities."
"It's actually easier to collaborate since it is already deployed in the AWS cloud itself."
"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 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."
"The customer service is excellent, rated nine out of ten."
"It enables us to efficiently search and retrieve our event data, offering us a versatile approach to locate specific information within these logs."
 

Cons

"Algolia provides a certification, which is pretty basic, and I think it can be improved in terms of a bit more detail and more elaborative content."
"When indexing the products, one may face some issues with the tool."
"The deployment could be easier for beginners."
"The high cost of the product is an area of concern where improvements are required."
"The documentation for the service is not as good as it could be."
"I think they could improve the analytics view."
"Joining is quite complex."
"The documentation is not beginner-friendly."
"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."
"The configuration should be more straightforward because we had to select a lot of things."
"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."
"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."
"I want to see a new feature in Amazon Elasticsearch Service that allows users to create default filters for filtered levels."
"One improvement I would like to see is support for auto-scaling."
"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 the data."
 

Pricing and Cost Advice

"In terms of the cost of Algolia, the tool is really expensive for us in Brazil since it comes to about half a million dollars."
"For any developer starting out, it is worth it."
"Algolia is a cool, super-easy-to-use, and affordable tool."
"I have heard that Algolia is an expensive solution."
"We are currently on a contract with Algolia for licensing and price."
"The product is cheap."
"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."
"You only pay for what you use."
report
Use our free recommendation engine to learn which Search as a Service solutions are best for your needs.
881,082 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
Comms Service Provider
14%
Performing Arts
10%
Computer Software Company
9%
University
7%
Financial Services Firm
15%
Computer Software Company
11%
Manufacturing Company
10%
Government
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business5
Midsize Enterprise1
Large Enterprise4
By reviewers
Company SizeCount
Small Business8
Midsize Enterprise2
Large Enterprise2
 

Questions from the Community

What is your experience regarding pricing and costs for Algolia?
The pricing, setup cost, and licensing for Algolia are based on a pay-as-you-go model, which is very efficient. The costs are very transparent and have detailed breakdowns for any kind of queries c...
What needs improvement with Algolia?
Algolia provides good value for money. However, personally, I feel the UI is a bit difficult to understand and could be more user-centric. The navigation part of Algolia is different from other too...
What is your primary use case for Algolia?
Algolia is used in my organization primarily for AI search to enhance product search for recommendations. It helps us support our knowledge bases, particularly Confluence, and maximizes the outcome...
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...
 

Also Known As

No data available
Amazon Elasticsearch Service
 

Overview

 

Sample Customers

Birchbox, Twitch, Lacoste, Stripe, WW, Medium, Cousera, National Geographic, Zendesk, Magento
VIDCOIN, Wyng, Yellow New Zealand, zipMoney, Cimri, Siemens, Unbabel
Find out what your peers are saying about Algolia vs. Amazon OpenSearch Service and other solutions. Updated: December 2025.
881,082 professionals have used our research since 2012.