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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

"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."
"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."
"This service already sorts data like vectors. They have classified the storage pre-defined."
"It's actually easier to collaborate since it is already deployed in the AWS cloud itself."
"It's a good log management platform. In terms of infrastructure management, it's good."
"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."
"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."
"When we compared other APM tools, Dynatrace was the only one which could give us 100% visibility into the whole codebase, which is key for us because we can find the problem much faster."
"In my experience, Dynatrace is scalable."
"There is time savings, people's times have been cut in half using this solution because we were previously doing a lot of that manual work, now it's a lot more automated, and the data is just there."
"Dynatrace is heavily automated which is a big advantage. You don't have to configure a lot, it installs and it runs straight away. There's direct return on investment and you can focus on more interesting stuff than always have to configure and change the configurations. Issues or problems in detection is also fully automated, which is great."
"The Recorder for setting up a synthetic monitor is a really great tool for non-technical staff to be able to set up a monitor."
"Through Dynatrace feedback, we were able to figure out bottlenecks, plan performance user stories, optimize execution time, and make numerous corrections."
"It was delivered when we wanted it and has performed exceptionally well."
"Helps us to see the troubleshooting points or what is hiccuping. This is where we go. We reboot, fix it, or do whatever it takes for it to be taken care of."
 

Cons

"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."
"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."
"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."
"They can enhance data visualization."
"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."
"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."
"Dynatrace could be improved by having a fully functional applications and infrastructure monitoring feature. Their existing stack, which is SNMP-based, does not have full infrastructure monitoring, whereas if we compare it with other solutions like New Relic or Datadog, they have moved into infrastructure monitoring. The second improvement I would suggest is in regards to the cost. So far, Dynatrace is the most expensive APM that we sell, even compared to New Relic. I think they can improve a little bit in terms of the license pricing."
"I'd like to see the UI a bit more polished. For example, I saw a demo of the dashboards here at the Perform 2018 conference. There was a table of these widgets, but they're not sorted alphabetically and there's, like, 50 of them. So if you want to find your widgets, you're of scrolling up and down. So small features, being able to search for widgets, that things are more categorized; just a bit more focused on the user experience."
"They should provide a guide to arrive at the solution for non-super experts."
"There is still a bit of redundancy in Dynatrace as well."
"Scalability-wise, on the data side, I'm really worried because they are giving only seven days data retention. They should plan something on that, to increase the data."
"Either use less system resources and be faster or use more resources to pre-compute the PurePath on recent X minutes of data."
"The licensing model is confusing in solutioning clients for the number of hosts needed to deploy."
"Documentation could be improved. E.g., you don't know how to properly use Dynatrace because documentation is almost lacking behind the features being deployed."
 

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."
"You only pay for what you use."
"There is a community edition available and the price of the commercial offering is reasonable."
"Dynatrace is usually paid on a yearly basis."
"The cost is somewhat high."
"I think that the price is reasonable."
"The pricing is a bit on the higher end."
"We asked for a three-year license, and the price was quite good."
"Dynatrace has a place for everybody. How you use it and what your budgetary limitations are will dictate what you do with it. But it's within everybody's reach. If you're a small organization and you have a large infrastructure, you may not be able to monitor the whole thing. You may have to pick and choose what you want to monitor, and you have the ability to do so. Your available funds are going to dictate that."
"We found an issue within the first week of ownership that has been costing us more than the entire license cost."
"The product is definitely worth taking a look at. Be aware that it is probably more pricey than other options on the market, but there are a lot of capabilities. Dynatrace has an eye toward the future and the computing and monitoring needs that we are gonna need for the cloud. ​"
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Top Industries

By visitors reading reviews
Financial Services Firm
15%
Manufacturing Company
10%
Computer Software Company
8%
Comms Service Provider
7%
Financial Services Firm
18%
Outsourcing Company
9%
Manufacturing Company
8%
Computer Software Company
5%
 

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 Enterprise300
 

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.
914,262 professionals have used our research since 2012.