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Amazon OpenSearch Service vs Grafana 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
21st
Average Rating
7.6
Reviews Sentiment
6.7
Number of Reviews
13
Ranking in other categories
Log Management (17th), Search as a Service (3rd)
Grafana
Ranking in Application Performance Monitoring (APM) and Observability
7th
Average Rating
8.0
Reviews Sentiment
6.8
Number of Reviews
50
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of August 2026, in the Application Performance Monitoring (APM) and Observability category, the mindshare of Amazon OpenSearch Service is 0.9%, down from 2.1% compared to the previous year. The mindshare of Grafana is 2.6%, down from 6.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Application Performance Monitoring (APM) and Observability Mindshare Distribution
ProductMindshare (%)
Grafana2.6%
Amazon OpenSearch Service0.9%
Other96.5%
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.
Vitthal Gole - PeerSpot reviewer
Devops Engineer at AIQOD
Proactive monitoring has transformed how our teams detect issues and resolve incidents faster
For improving Grafana, the alert configuration could be more intuitive for new users. Dashboard management becomes complex in large environments. So if we have multiple environments and we have to manage our dashboards for them, sometimes it becomes complicated to manage all the dashboards. The learning curve is steep for beginners. More built-in reporting and analytics features would be helpful. Documentation for advanced features could be more detailed. Role-based access management could be simpler to configure. Performance could be optimized for very large dashboards with high cardinality data sources. Grafana could improve its alert configuration workflow and make advanced dashboard management easier for new users. More built-in reporting features would also be beneficial. A simpler onboarding experience for first-time users and more built-in dashboard templates for common monitoring scenarios would be helpful. Grafana is a powerful monitoring platform, but it could improve dashboard organization in large environments, simplify alert management, provide more built-in reporting capabilities, enhance plugin compatibility during upgrades, and offer better AI-driven insights for fast root cause analysis. For example, if we are hitting a CPU metric of ninety to ninety-five percent or a system load of seventy to eighty percent, we have to act on that. But if Grafana suggests something on that metric, such as an AI suggestion, it would be more helpful. We could get an idea of how to solve that issue. For the Grafana dashboards, they could provide more built-in compliance and audit reporting, enhance AI recommendations with clearer explanations of why an issue was flagged, enhance accessibility and keyboard navigation, add more native integrations with emerging cloud and DevOps tools, and improve scalability for very large enterprise deployments. Grafana is a mature platform, but it could benefit from better dashboard version control, simpler environment migration, enhanced AI explanations, more built-in reporting, and improved performance for large-scale deployments with complex dashboards.

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 provides a managed database solution, so we don't need to manage everything ourselves."
"It's actually easier to collaborate since it is already deployed in the AWS cloud itself."
"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 a good log management platform. In terms of infrastructure management, it's good."
"The initial set up is very easy...We really appreciate Amazon!"
"The business analytics capabilities are the most important feature it provides."
"It enables us to efficiently search and retrieve our event data, offering us a versatile approach to locate specific information within these logs."
"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"
"​Grafana has improved our analysis capability to solve an issue, increasing the co-working between IT services and business services.​"
"If you want a scalable solution, better visualization, optimization, centralized monitoring, and improved troubleshooting, then you can choose Grafana without any doubts in your mind."
"Grafana has delivered a strong return on investment by reducing troubleshooting time, improving incident response, and minimizing manual monitoring efforts through centralized dashboards and automated alerts."
"The product's initial setup phase was very easy."
"The best thing about Grafana is the visualization. The colors and the ease of use make it very user-friendly."
"Grafana is a very scalable product. It's a really good product."
"There are multiple kinds of models there to create dashboards, which is quite useful."
"The dashboards are very easy to work with."
 

Cons

"I want to see a new feature in Amazon Elasticsearch Service that allows users to create default filters for filtered levels."
"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 pricing aspect is a concern. The service is way too costly. For the past month, I used only 30 to 40 MB of data, and the cost was $500. AWS could improve pricing."
"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."
"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."
"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."
"As a user, lower prices or reasonable pricing is always better."
"More dashboard is required, out-of-the-box, for OpenNMS."
"I find that the alerting UI in Grafana can be complex for new users."
"The product could be improved with a feature that provides detailed error messages when we encounter issues."
"The interface is not well-liked by my customers. Grafana cannot be easily embedded into certain applications and offers limited customization options for graphs."
"Lacks in-depth graphs and sufficient AI."
"There are not a lot of plugins for financial market monitoring."
"The main drawback is the necessity for endpoint monitoring."
"I would like the ability to download my results into any format in order to share the information with my clients."
 

Pricing and Cost Advice

"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."
"The solution is not expensive, but priced averagely, I will say."
"You only pay for what you use."
"Since Grafana is an open-source solution, it is free of cost."
"I give the price an eight out of ten."
"We are using the open-source license."
"We use the open-source version of Grafana."
"For me, Grafana is a cheap tool because I don't have to spend much time learning the product since it is a simple solution."
"My company uses the open-source version of Grafana, so it's free."
"I am using an open-source version"
"You need to purchase the solution's license for its commercial use."
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Top Industries

By visitors reading reviews
Financial Services Firm
16%
Manufacturing Company
10%
Computer Software Company
9%
Government
6%
Financial Services Firm
17%
Manufacturing Company
9%
Computer Software Company
9%
Comms Service Provider
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 Business14
Midsize Enterprise10
Large Enterprise27
 

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 Grafana?
My experience with pricing, setup cost, and licensing is that it is very reasonable and has excellent community support.
What needs improvement with Grafana?
Currently, I do not think that any improvement is required, but there are multiple use cases.
What is your primary use case for Grafana?
My main use case for Grafana is to create and design dashboards based on the metrics provided by different exporters via Prometheus. We have different exporters, and we are creating different dashb...
 

Also Known As

Amazon Elasticsearch Service
No data available
 

Overview

 

Sample Customers

VIDCOIN, Wyng, Yellow New Zealand, zipMoney, Cimri, Siemens, Unbabel
Microsoft, Adobe, Optum, Sky, Nvidia, Roblox, Wells Fargo, BlackRock, Informatica, Maersk, Daimler Truck, SNCF, Atlassian, DHL, SAP, JPMorgan Chase, Cisco, Citi and many others.
Find out what your peers are saying about Amazon OpenSearch Service vs. Grafana and other solutions. Updated: August 2026.
908,858 professionals have used our research since 2012.