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Amazon OpenSearch Service vs VMware Aria Operations for Applications 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)
VMware Aria Operations for ...
Ranking in Application Performance Monitoring (APM) and Observability
16th
Average Rating
8.0
Reviews Sentiment
6.3
Number of Reviews
14
Ranking in other categories
IT Infrastructure Monitoring (17th), Container Monitoring (5th), Cloud Monitoring Software (12th)
 

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 VMware Aria Operations for Applications is 1.4%, up from 0.9% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Application Performance Monitoring (APM) and Observability Mindshare Distribution
ProductMindshare (%)
VMware Aria Operations for Applications1.4%
Amazon OpenSearch Service1.1%
Other97.5%
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.
AS
Consultant at HCLTech
Automation and insightful diagnostics elevate operations while improvements are welcome
The new version 8.18 has brought significant improvements. The main purpose of using this tool is having a single console to manage all entities. The cloud integration capabilities, including private, public, and hybrid, are already well-implemented. The ability to manage multiple vCenters across different geographical locations is very effective. The new Skyline health feature and certificate and licensing management are particularly useful improvements. The dashboard's overview tab provides comprehensive information about current vCenter status, resizable amounts, reclamation opportunities, anomalies, diagnostics, licensing, and certificates. However, there is room for improvement in application analysis. The current functionality lacks detailed monitoring at the kernel level, focusing mainly on CPU, memory, and storage matrices. Enhanced application monitoring capabilities, including tracking downtime for specific types of applications such as transactional or e-commerce applications, would be beneficial.

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."
"It's actually easier to collaborate since it is already deployed in the AWS cloud itself."
"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 customer service is excellent, rated nine out of ten."
"The initial set up is very easy...We really appreciate Amazon!"
"It's a good log management platform. In terms of infrastructure management, it's good."
"AWS has now made our life easy."
"The stability of the product is good."
"The stability of Aria Operations for Applications has improved significantly over the years."
"It has a familiar interface, which makes it easy to get started."
"VMware Aria Operations for Applications offers significant features such as real-time statistics, the ability to identify possible issues within the VM environment, and helpful heat maps."
"Wavefront gives us the complexity we need, instead of spending time coming up with a nice dashboard from some other means, or just creating and coding our own app."
"For us, the ease of deployment in combination with TMZ was the most important part because we don't have to manually deploy a complex monitoring solution. We can more or less do that with the click of a button, and we are not dependent on the developers to provide us with all the necessary features and functions to make that work. We can just deploy it on a workload cluster and monitor at least a good part of the workload. If we want to go into detail, we clearly need to make changes, but for a good part of application monitoring, it gives us good insights."
"The most valuable aspects of the solution are its ease of use and its ease of implementation."
"We haven't had any issues with stability."
"The solution provides single-console management for multiple VMware environments and cloud integrations, whether hybrid, private, or public cloud."
 

Cons

"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."
"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."
"I want to see a new feature in Amazon Elasticsearch Service that allows users to create default filters for filtered levels."
"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 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."
"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."
"I would like to see integration with Kubernetes cluster and APIs so that you can manage the entire stack."
"I find that there could be improvements in the support service response time, as the urgency varies unless specified as Priority 2 or 1 cases."
"The initial setup should be easier and more seamless."
"They could make it more easy to plug-in data so that a nontechnical person will be able to use it, like accountants or finance people. That way they don't have to ask us."
"The return on investment is best suited for organizations that do not have the resources for a dedicated VM environment team. However, the cost of the product doesn't show significant benefits."
"It could use a URL document server. Everything in the market is moving towards automation and everybody's looking for the single click operations as well relational data locality."
"Its billing model is consumption-based. I understand the consumption-based model, but it is not necessarily easy to estimate and guess how many points or how much we are going to consume on a specific application up until we get to that point. So, for us, it would be helpful to have more insights or predictability into what we can expect from a cost perspective if we are starting to use specific features. This can potentially also drive our consumption a bit more."
"An area for improvement would be more in-depth reporting, such as analyzing disk IO during business hours compared to after hours."
 

Pricing and Cost Advice

"You only pay for what you use."
"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."
"The licensing costs are very high, particularly when you consider that we have to purchase a level 1 license for every integration, such as the load balancer, HAProxy, and the MSSP. And if you want to use vSAN, that's another license. Then, of course, Tanzu Observability has its own separate license."
"I don't have the details. In our case, there is a mixture in place. We have production usage, and we are also doing training for VMware. So, we also have a training instance. It is worth the money you would spend on it. That's because if you were to build all of this yourself by using some of the open source tools, then you would need a lot of time."
"Different locations require different setups. In your terms, around 300 to around 400K USD."
"I would rate the pricing as three out of five."
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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
13%
Manufacturing Company
12%
Construction Company
7%
Government
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 Business4
Midsize Enterprise1
Large Enterprise10
 

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 VMware Tanzu Observability by Wavefront?
The solution includes cost drivers that can be configured according to your environment. You can input server-wise, CPU-wise, storage, and memory costs per hour or day. Once cost drivers are provid...
What needs improvement with VMware Tanzu Observability by Wavefront?
The new version 8.18 has brought significant improvements. The main purpose of using this tool is having a single console to manage all entities. The cloud integration capabilities, including priva...
What is your primary use case for VMware Tanzu Observability by Wavefront?
I have been involved in several projects where I had to implement automation and monitoring alerting. I performed automation using VMware Aria Operations for Applications. There is an automation ta...
 

Also Known As

Amazon Elasticsearch Service
Tanzu Observability, Wavefront, Wavefront by VMware, VMware Tanzu Observability
 

Overview

 

Sample Customers

VIDCOIN, Wyng, Yellow New Zealand, zipMoney, Cimri, Siemens, Unbabel
1. Atlassian 2. Cisco 3. Databricks 4. DigitalOcean 5. Equinix 6. Fidelity Investments 7. Google 8. Hewlett Packard Enterprise 9. Honeywell 10. IBM 11. Intel 12. JetBlue Airways 13. LinkedIn 14. Lyft 15. Mastercard 16. Microsoft 17. MongoDB 18. Netflix 19. Nvidia 20. Oracle 21. PayPal 22. Pinterest 23. Qualcomm 24. Red Hat 25. Salesforce 26. SAP 27. Spotify 28. Square 29. TMobile 30. Twitter 31. Uber 32. VMware
Find out what your peers are saying about Amazon OpenSearch Service vs. VMware Aria Operations for Applications and other solutions. Updated: June 2026.
900,747 professionals have used our research since 2012.