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Amazon OpenSearch Service vs Sentry comparison

 

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
22nd
Average Rating
7.6
Reviews Sentiment
6.7
Number of Reviews
13
Ranking in other categories
Log Management (19th), Search as a Service (3rd)
Sentry
Ranking in Application Performance Monitoring (APM) and Observability
14th
Average Rating
8.6
Reviews Sentiment
6.7
Number of Reviews
14
Ranking in other categories
Debugging (1st)
 

Mindshare comparison

As of June 2026, in the Application Performance Monitoring (APM) and Observability category, the mindshare of Amazon OpenSearch Service is 1.1%, down from 2.0% compared to the previous year. The mindshare of Sentry is 1.9%, down from 7.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Application Performance Monitoring (APM) and Observability Mindshare Distribution
ProductMindshare (%)
Sentry1.9%
Amazon OpenSearch Service1.1%
Other97.0%
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

"In case there is a failure, Elastic manages everything well, and there no major downtime."
"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."
"AWS has now made our life easy."
"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."
"It's actually easier to collaborate since it is already deployed in the AWS cloud itself."
"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."
"Great for capturing application performance metrics and error logs."
"The most valuable feature is the ability to create and assign rules and give access to particular users."
"Tracking error logs is a great feature because Sentry provides a rich context with regards to the code and tracing issues across the entire stack with trace logs and things like that."
"The most valuable feature we have found with Sentry is the security that it provides."
"Sentry provides excellent security when it comes to tables and databases."
"Sentry is more accurate than some other tools such as Datadog because it has more integration with Slack, GitLab, Jira, or other ticketing tools."
"The implementation is easy. After one or two days, I can learn and use it. It's not too hard."
"It's a great visibility tool for the developer team."
 

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."
"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."
"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."
"They can enhance data visualization."
"One improvement I would like to see is support for auto-scaling."
"The configuration should be more straightforward because we had to select a lot of things."
"The price is fair yet leans towards the expensive side. I'd rate it five out of ten with respect to capabilities vs. cost."
"While using Sentry I have to manually create an issue when it occurs by clicking in Jira or GitLab."
"To deal with its shortcomings, Sentry needs to continuously improve in areas like the user interface and documentation, apart from its other features."
"I would like to see a role registration feature added."
"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."
"The settings for an administrator are complex."
"I would like to see the ability to customize events and get more metrics for these customized events."
"It should be easier to integrate Sentry with other tools, and the end-to-end tracing capabilities could be improved."
 

Pricing and Cost Advice

"Compared to other cloud platforms, it is manageable and not very expensive."
"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."
"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 can adjust the price a little bit based on our needs."
"We are currently paying through Cloudera for the Sentry service."
"I am currently using a self-hosted open version."
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Top Industries

By visitors reading reviews
Financial Services Firm
16%
Manufacturing Company
10%
Computer Software Company
10%
Government
6%
Computer Software Company
13%
Comms Service Provider
13%
Financial Services Firm
9%
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: June 2026.
900,747 professionals have used our research since 2012.