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Amazon OpenSearch Service vs Prometheus-AI Platform comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Mar 29, 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 OpenSearch Service
Average Rating
7.6
Reviews Sentiment
6.7
Number of Reviews
13
Ranking in other categories
Application Performance Monitoring (APM) and Observability (22nd), Log Management (19th), Search as a Service (3rd)
Prometheus-AI Platform
Average Rating
8.2
Reviews Sentiment
6.9
Number of Reviews
34
Ranking in other categories
Data Scrubbing Software (6th), ERP (24th), Enterprise Asset Management (EAM) (7th)
 

Mindshare comparison

Amazon OpenSearch Service and Prometheus-AI Platform aren’t in the same category and serve different purposes. Amazon OpenSearch Service is designed for Application Performance Monitoring (APM) and Observability and holds a mindshare of 1.1%, down 2.0% compared to last year.
Prometheus-AI Platform, on the other hand, focuses on Enterprise Asset Management (EAM), holds 1.9% mindshare.
Application Performance Monitoring (APM) and Observability Mindshare Distribution
ProductMindshare (%)
Amazon OpenSearch Service1.1%
Dynatrace5.3%
Datadog4.6%
Other89.0%
Application Performance Monitoring (APM) and Observability
Enterprise Asset Management (EAM) Mindshare Distribution
ProductMindshare (%)
Prometheus-AI Platform1.9%
IBM Maximo11.9%
Oracle Enterprise Asset Management6.7%
Other79.5%
Enterprise Asset Management (EAM)
 

Featured Reviews

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.
MuhammadAzhar Khan - PeerSpot reviewer
Senior DevOps Engineer at Alibaba Group
Free to use and provides valuable monitoring capabilities
Prometheus is a scalable and flexible tool that I can deploy on any cloud platform. It is free to use and provides valuable monitoring capabilities. It allows me to save money by avoiding costs associated with AWS native services like CloudWatch or Amazon Prometheus. The ability to deploy on any cloud platform or environment, including Kubernetes, is a major advantage.

Quotes from Members

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

Pros

"It's actually easier to collaborate since it is already deployed in the AWS cloud itself."
"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's a good log management platform. In terms of infrastructure management, it's good."
"It enables us to efficiently search and retrieve our event data, offering us a versatile approach to locate specific information within these logs."
"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."
"They have the good documentation in the help text and that is the reason the Amazon Elasticsearch is the perfect solution for the current market."
"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."
"The most valuable features of Prometheus are the many functions available. The functions are helpful for understanding the behavior of applications and infrastructure."
"It is highly valuable as it serves as the foundation for our infrastructure monitoring tools."
"I like its lightweight configuration functions."
"It lets me proactively identify and resolve system issues. This, in terms of, most of the time, really reduces downtime. Because when there are notifications on time when we engage it quickly on time, our downtime is highly reduced. So basically, Prometheus is for monitoring and alerting."
"Prometheus provides a flexible and adjustable querying and describing time, allowing for more responsive monitoring."
"It is a scalable solution."
"Prometheus is an open-source product that helps mold and improve it per our requirements. It is a lightweight solution that gives you many different metrics you can use in your application. The product offers complete granularity of your infrastructure. It integrates seamlessly with other tools like Grafana, which offers dashboard visibility. Prometheus is an extensively used product. I haven't seen any organization that is not using it."
"It is a stable solution...Based on the feedback I have received from my colleagues in our company's IT department, the setup phase of the solution is relatively easy."
 

Cons

"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."
"As a user, lower prices or reasonable pricing is always better."
"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 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."
"The configuration should be more straightforward because we had to select a lot of things."
"I want to see a new feature in Amazon Elasticsearch Service that allows users to create default filters for filtered levels."
"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."
"There is a need for a more comprehensive overview of exporters, especially when dealing with many of them."
"They could provide efficient logs in terms of clarity and ease of access similar to Datadog’s paid version."
"Prometheus can definitely improve its visualization. For example, the matrices represented in Prometheus do not have a very good visualization on their dashboard."
"The primary area where Prometheus could be improved is in terms of pricing, particularly when used with managed services."
"Its stability could be even better."
"Prometheus has a learning curve when setting it up. It definitely requires a little bit more hands-on than other solutions. It is an open source solution which means you do need to go through and read the literature that they have online for setting it up. The setup could be made easier."
"The initial setup of Prometheus is complex and rated one out of five in ease of setup."
"The setup process could be more straightforward and user-friendly."
 

Pricing and Cost Advice

"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."
"This is an open-source solution."
"The price of Prometheus is good, it is affordable because it is open source and there is no cost to it. You put it on your own server and the costs incurred completely depend on how you set it up."
"Prometheus is an open-source solution."
"It is an open-source tool."
"The tool is open-sourced."
"The product is expensive compared to Datadog."
"The solution is not expensive."
"The solution is free of cost."
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Top Industries

By visitors reading reviews
Financial Services Firm
16%
Manufacturing Company
10%
Computer Software Company
10%
Government
6%
Financial Services Firm
17%
Computer Software Company
10%
Manufacturing Company
7%
Construction Company
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business7
Midsize Enterprise2
Large Enterprise4
By reviewers
Company SizeCount
Small Business15
Midsize Enterprise8
Large Enterprise13
 

Questions from the Community

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 ...
What is your experience regarding pricing and costs for Prometheus?
Prometheus is cost-effective for me as it is free. Using cloud-native alternatives like Amazon Prometheus would incur charges.
What is your primary use case for Prometheus?
I use Prometheus for monitoring purposes in IT infrastructure. It is particularly useful for environments using Kubernetes, as it monitors ports, containers, instances, and applications effectively.
What advice do you have for others considering Prometheus?
As a new user, I should be familiar with syntax and commands. Online resources like Google and ChatGPT can be helpful. I should consider using cloud-native tools for ease of management if not using...
 

Also Known As

Amazon Elasticsearch Service
Utopia Data Quality
 

Overview

 

Sample Customers

VIDCOIN, Wyng, Yellow New Zealand, zipMoney, Cimri, Siemens, Unbabel
Harley-Davidson Motor Company, Roche Diagnostics Corporation, Harman International Industries Inc., Hilmar Cheese Company, International Rectifier Corporation, Electrolux USA, GE Fanuc Intelligent Platforms, Rio Tinto Limited, Pertamina Pusat, Petrofac International Ltd, Cintas Corporation, Diyar United Company, Nortel Networks, Verizon
Find out what your peers are saying about Datadog, Dynatrace, Splunk and others in Application Performance Monitoring (APM) and Observability. Updated: May 2026.
900,838 professionals have used our research since 2012.