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Amazon OpenSearch Service vs Dynatrace 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
21st
Ranking in Log Management
15th
Average Rating
7.6
Reviews Sentiment
6.7
Number of Reviews
13
Ranking in other categories
Search as a Service (3rd)
Dynatrace
Ranking in Application Performance Monitoring (APM) and Observability
2nd
Ranking in Log Management
6th
Average Rating
8.8
Reviews Sentiment
7.0
Number of Reviews
359
Ranking in other categories
Mobile APM (3rd), Container Monitoring (2nd), AIOps (2nd), AI Observability (3rd)
 

Mindshare comparison

As of September 2026, in the Application Performance Monitoring (APM) and Observability category, the mindshare of Amazon OpenSearch Service is 0.9%, down from 2.0% compared to the previous year. The mindshare of Dynatrace is 4.8%, down from 9.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Application Performance Monitoring (APM) and Observability Mindshare Distribution
ProductMindshare (%)
Dynatrace4.8%
Amazon OpenSearch Service0.9%
Other94.3%
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.
Manish Indupuri - PeerSpot reviewer
senior DevOps engineer at a tech services company with 10,001+ employees
AI-driven insights have reduced downtime and improved cross-team collaboration
We encountered some challenges while using Dynatrace. Although the initial setup was smooth, fine-tuning alert thresholds and custom metrics took some time. Another challenge was that Dynatrace charges based on host units, so we had to carefully plan our agent deployments. The licensing model is expensive. Additionally, the complexity of setup is an issue. While OneAgent and auto-discover services are powerful, the setup is more complex compared to other tools such as Prometheus and Grafana. These integrations are simple and basic, but Dynatrace setup requires more complexity based on the environment. For new users wanting to use Dynatrace, it is difficult. However, the AI-related solutions and metrics took us to the next level for identifying and fixing things. Dynatrace requires an agent for operation. OneAgent is powerful, but it is also resource-heavy. On lightweight nodes or older systems, the agent can slightly impact performance. If Dynatrace could implement a lightweight agent behavior, we could make things faster. Additionally, if Dynatrace could add a long-term retention policy so that we could store more data and find fine-grained details, that would help us. While Dynatrace managed edition supports on-premises deployment, the SaaS version depends on cloud connectivity. For highly regulated or air-gapped environments, setup and updates can be challenging. Although the initial setup is smooth, if someone wants to fine-tune it and fully understand the tool end-to-end, it could be tricky.

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."
"The business analytics capabilities are the most important feature it provides."
"It's actually easier to collaborate since it is already deployed in the AWS cloud itself."
"Regarding valuable features of the solution, we found with the process, which we have used in both cases where we used the solution that while you're seeing the streaming of data, you can analyze in the initial phase what sort of data you are streaming and whether it is valuable."
"It's a good log management platform. In terms of infrastructure management, it's good."
"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."
"Amazon OpenSearch Service has enhanced our organization's ability to store and search large amounts of data efficiently."
"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."
"From a management perspective, I have a single pane of glass view to my entire environment."
"The Davis artificial intelligence built-in program is valuable. It keeps all the information about the systems, connections, service calls, and requests in its database. It looks at response times and keeps everything in check with baseline figures. If anything goes outside of that baseline, it reports based on that. If the performance starts degrading, it reports on that. Before something breaks, it tells you that it is going to break, and that's the most useful feature of Dynatrace."
"We can analyse problems more quickly, and detecting problems becomes easier with Dynatrace."
"Using Dynatrace, we collected application metrics within three hours, in most cases, the majority of our triage were within three hours, then we were able to discover the root cause of issues."
"Our company gets quick response times and qualified responses from technical support, so that is good."
"Provides one consolidated view on application performance."
"The memory dumps, the tracing, and PurePath. All the tracing that you can do with the tool is, for us, our life. It's our daily job and it saves us a lot of time looking for performance issues."
"It used to take a lot of time to troubleshoot, but now, with Dynatrace, we can actually see the logs anytime we want, quickly find the problem, and it has improved performance from a time perspective."
 

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."
"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."
"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 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."
"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."
"They can enhance data visualization."
"The downside is that it is very expensive in terms of the price range."
"This tool had a feature of doing load test in production or lower environment, which was shut down earlier this year. We are missing that feature badly and we definitely want to see that feature back."
"Its infra monitoring is not that good. They are mainly into the APM environment, such as network monitoring and other things. Strong end-to-end infrastructure monitoring is missing. SNMP monitoring is currently not very good in this solution."
"I would suggest to have more rich client features on Appmon as soon as possible."
"The GUI has the most room for improvement. Sometimes, it can be a little cumbersome to find things and be able to create your own views, or be able to dig in and understand where things are."
"If we can gain more insight into older applications, using not-so-recent technologies, then it would be a plus."
"It needs .NET core support to the level of Java."
"If there is a downside to Dynatrace, the only thing I can think of would be the cost."
 

Pricing and Cost Advice

"You only pay for what you use."
"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."
"Compared to other cloud platforms, it is manageable and not very expensive."
"Dynatrace's pricing for their consumption units is rather arcane compared to some of the other tools, thus making forward-looking calculations based on capacity planning quite hard."
"Its price is quite high. Although it is worth it, it would be better if its price is reduced. They base their prices around licensing. Their prices are based on agent licensing and consumption licensing. Both of these can be a bit cheaper, but if they are the best in the market, as I consider them to be, I assume that their prices will be higher. They are delivering the product for that price."
"Look at the product and the product features, not the price. Too often people look at the price and turn away. Dynatrace costs a little bit more than the other products I researched, but it can do far more.​"
"I feel the price is good for what the product does."
"We purchased a subscription for one year and it is an expensive solution for a large enterprise like ours."
"Pricing is still too expensive."
"The licensing for Dynatrace is high. If you want to go for monitoring solutions, then why Dynatrace? If you have a particular budget, you can go for many other monitoring tools - apart from Dynatrace - and they can help you more and give more data than Dynatrace can. It's not worth the money that you spend for Dynatrace."
"As compared to New Relic and other providers, it is more expensive, which is its biggest disadvantage. Its biggest advantage is its capability. It is more feature-rich."
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Top Industries

By visitors reading reviews
Financial Services Firm
16%
Manufacturing Company
10%
Computer Software Company
8%
Outsourcing Company
6%
Financial Services Firm
18%
Outsourcing Company
9%
Manufacturing Company
8%
Computer Software Company
6%
 

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 Business80
Midsize Enterprise50
Large Enterprise299
 

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 ...
Any advice about APM solutions?
The key is to have a holistic view over the complete infrastructure, the ones you have listed are great for APM if you need to monitor applications end to end. I have tested them all and have not f...
What cloud monitoring software did you choose and why?
While the environment does matter in the selection of an APM tool, I prefer to use Dynatrace to manage the entire stack. Both production and Dev/Test. I find it to be quite superior to anything els...
Any advice about APM solutions?
There are many factors and we know little about your requirements (size of org, technology stack, management systems, the scope of implementation). Our goal was to consolidate APM and infra monitor...
 

Also Known As

Amazon Elasticsearch Service
No data available
 

Overview

 

Sample Customers

VIDCOIN, Wyng, Yellow New Zealand, zipMoney, Cimri, Siemens, Unbabel
TD Bank, Zurich North America, Accenture, Macquarie, United Airlines, Raymond James, BT, Vodafone, Air France-KLM, TELUS, American Airlines, Air Canada, ADT, Virgin Money
Find out what your peers are saying about Amazon OpenSearch Service vs. Dynatrace and other solutions. Updated: September 2026.
912,565 professionals have used our research since 2012.