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Amazon OpenSearch Service vs Sentry comparison

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Comparison Buyer's Guide

Executive SummaryUpdated on Feb 22, 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
Ranking in Application Performance Monitoring (APM) and Observability
29th
Average Rating
7.6
Reviews Sentiment
6.7
Number of Reviews
13
Ranking in other categories
Log Management (17th), Search as a Service (3rd)
Sentry
Ranking in Application Performance Monitoring (APM) and Observability
17th
Average Rating
8.6
Reviews Sentiment
6.7
Number of Reviews
14
Ranking in other categories
Debugging (2nd)
 

Mindshare comparison

As of November 2026, in the Application Performance Monitoring (APM) and Observability category, the mindshare of Amazon OpenSearch Service is 0.8%, down from 1.8% compared to the previous year. The mindshare of Sentry is 1.4%, down from 5.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Application Performance Monitoring (APM) and Observability Mindshare Distribution
ProductMindshare (%)
Sentry1.4%
Amazon OpenSearch Service0.8%
Other97.8%
Application Performance Monitoring (APM) and Observability
 

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.
NM
Founding Member at a tech services company with 51-200 employees
Real-time error tracking assists the QA team in swiftly identifying and reporting bugs
One of the greatest advantages of Sentry is its support for Azure Web Services, which New Relic does not support. Sentry integrates with common developer communication platforms like Discord and WhatsApp, which allows developers to easily track notifications and findings in the applications. Real-time error tracking helps our Quality Assurance team easily identify the root causes of problems or bugs and promptly inform the developers about specific issues.

Quotes from Members

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

Pros

"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."
"It's actually easier to collaborate since it is already deployed in the AWS cloud itself."
"It enables us to efficiently search and retrieve our event data, offering us a versatile approach to locate specific information within these logs."
"The business analytics capabilities are the most important feature it provides."
"This service already sorts data like vectors. They have classified the storage pre-defined."
"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."
"The initial set up is very easy...We really appreciate Amazon!"
"Sentry provides excellent security when it comes to tables and databases."
"It's a great visibility tool for the developer team."
"The most valuable feature is the ability to create and assign rules and give access to particular users."
"The implementation is easy. After one or two days, I can learn and use it. It's not too hard."
"Sentry breaks everything down in real time."
"Overall, I give Sentry a rating of 10."
"Great for capturing application performance metrics and error logs."
"Sentry is more accurate than some other tools such as Datadog because it has more integration with Slack, GitLab, Jira, or other ticketing tools."
 

Cons

"One improvement I would like to see is support for auto-scaling."
"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 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."
"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 price is fair yet leans towards the expensive side. I'd rate it five out of ten with respect to capabilities vs. cost."
"They can enhance data visualization."
"I would like to have alert policies and alert conditions enhanced in the next release."
"We cannot restrict particular columns on particular data. It would be helpful if that feature was improved."
"It would be nice if the product provided a map showing the users’ geographic location."
"I would like to see the ability to customize events and get more metrics for these customized events."
"While using Sentry I have to manually create an issue when it occurs by clicking in Jira or GitLab."
"I have not worked with Sentry long enough to provide advice for improvements. I need more experience and time."
"To deal with its shortcomings, Sentry needs to continuously improve in areas like the user interface and documentation, apart from its other features."
"The integration could be improved, and the price could be lowered."
 

Pricing and Cost Advice

"The solution is not expensive, but priced averagely, I will say."
"There is a community edition available and the price of the commercial offering is reasonable."
"You only pay for what you use."
"Compared to other cloud platforms, it is manageable and not very expensive."
"Currently, we are in the production phase of our project and we are on free plans to use Sentry. Once we go live we will have to be on a subscription-based plan."
"We are currently paying through Cloudera for the Sentry service."
"I am currently using a self-hosted open version."
"We can adjust the price a little bit based on our needs."
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Top Industries

By visitors reading reviews
Financial Services Firm
14%
Manufacturing Company
10%
Computer Software Company
8%
Comms Service Provider
7%
Comms Service Provider
14%
Financial Services Firm
10%
Computer Software Company
10%
Manufacturing Company
8%
 

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 Business7
Midsize Enterprise3
Large Enterprise3
 

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 Sentry?
Sentry is very affordable. We spend less than $200 to $300 a month. Compared to New Relic, it provides the necessary features at a cheaper cost, especially since we moved infrastructure monitoring ...
What needs improvement with Sentry?
Right now, Sentry meets our needs and we have not encountered any bottlenecks. However, additional personalization and easier setup for capturing all the different application logs could be an area...
What is your primary use case for Sentry?
We use Sentry for application performance management and tracking bugs and issues in the application.
 

Also Known As

Amazon Elasticsearch Service
No data available
 

Overview

 

Sample Customers

VIDCOIN, Wyng, Yellow New Zealand, zipMoney, Cimri, Siemens, Unbabel
Dropbox, Airbnb, Stripe, Uber
Find out what your peers are saying about Amazon OpenSearch Service vs. Sentry and other solutions. Updated: November 2026.
920,769 professionals have used our research since 2012.