No more typing reviews! Try our Samantha, our new voice AI agent.

Amazon OpenSearch Service vs Dynatrace 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
Ranking in Log Management
19th
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
5th
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 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 Dynatrace is 5.3%, down from 10.8% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Application Performance Monitoring (APM) and Observability Mindshare Distribution
ProductMindshare (%)
Dynatrace5.3%
Amazon OpenSearch Service1.1%
Other93.6%
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

"The business analytics capabilities are the most important feature it provides."
"This service already sorts data like vectors. They have classified the storage pre-defined."
"Amazon OpenSearch Service provides a managed database solution, so we don't need to manage everything ourselves."
"I would definitely recommend Amazon OpenSearch Service to other professionals due to its fast and reliable search capabilities."
"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"
"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."
"In case there is a failure, Elastic manages everything well, and there no major downtime."
"The initial set up is very easy...We really appreciate Amazon!"
"The most valuable feature of the solution would be the level of visibility that you get, and I haven't seen anything that gives us that level of visibility yet."
"The ​autodiscovery​ of service intercommunication has saved countless man hours and is dynamically updated when new services are added."
"The tool allows us to see if it is an infrastructural related issue and see what is affected right away."
"We have been capturing all the information and evaluating whether it can be improved or not."
"When something goes wrong, we have visibility into the system, can find the issue, and quickly get things back up."
"The most valuable features are the UEM (User Experience Monitoring) and the DEM (Digital Experience Management)."
"We’re monitoring our SQL databases, we’re monitoring our microservices infrastructure, we’re monitoring our front-end we’re monitoring our mobile apps. It has increased our productivity, we’ve been able to optimize all of our applications."
"We can see which step in a transaction is causing latency, right down to the particular Java class"
 

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."
"I want to see a new feature in Amazon Elasticsearch Service that allows users to create default filters for filtered levels."
"One improvement I would like to see is support for auto-scaling."
"They can enhance data visualization."
"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."
"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 price is fair yet leans towards the expensive side. I'd rate it five out of ten with respect to capabilities vs. cost."
"In terms of improvements, I believe Dynatrace could enhance cost and licensing structures, as the current pricing can be expensive for large-scale deployments."
"They need to improve on claims about being an enterprise system. The definition of enterprise is loosely used, however, from a holistic security perspective, including infrastructure, network, ports, software, applications, transactions, and databases, there are areas lacking, especially in network monitoring tools."
"A useful addition for known issues would be the ability to automatically perform certain activities as a first attempt to resolve issues which are creating a problem."
"In regards to Diffie-Hellman encryption stuff, it is a hurdle with what we are doing with DC RUM, where everyone is embracing stronger security suites, but the whole point of DC RUM is to get that data between the tiers."
"It needs to be more user-friendly. They could have a better user interface, better automation, better support for cloud-based and SaaS applications."
"​Experience with relationship/account manager has been really poor, it does not seem to be the firm's priority to support their customers."
"I would say it's not scalable, because we've had to move large applications that were in a shared environment to their own separate Dynatrace server instance."
"They need a capability similar to Tealeaf where you can actually view what the consumer is doing and record the sessions. That is the biggest missing element."
 

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."
"Product pricing can seem a little over complex, however this is minor and does not detract from the benefits of the solution."
"We are buying more licenses, because we are seeing more value."
"We found a tool that can be utilized by testing, DevOps, marketing, software engineering, and monitoring. Before, we always had everybody doing their own thing. Now, everybody's utilizing one tool, which is huge. That is a huge savings."
"This is an expensive solution, but it is also worth the money."
"Its licensing is complicated or not transparent."
"The product is really fast to implement and gives customers instant value. This is important, because it reduces costs on the implementation."
"The licensing model is confusing in solutioning clients for the number of hosts needed to deploy."
"They could improve their price ranges, as there is no option for startups or testing."
report
Use our free recommendation engine to learn which Application Performance Monitoring (APM) and Observability solutions are best for your needs.
902,270 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
Financial Services Firm
16%
Manufacturing Company
10%
Computer Software Company
10%
Government
6%
Financial Services Firm
20%
Manufacturing Company
9%
Computer Software Company
7%
Government
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
Audi, Best Buy, LinkedIn, CISCO, Intuit, KRONOS, Scottrade, Wells Fargo, ULTA Beauty, Lenovo, Swarovsk, Nike, Whirlpool, American Express
Find out what your peers are saying about Amazon OpenSearch Service vs. Dynatrace and other solutions. Updated: June 2026.
902,270 professionals have used our research since 2012.