Try our new research platform with insights from 80,000+ expert users

Amazon OpenSearch Service vs Dynatrace comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Nov 16, 2025

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
23rd
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
6th
Average Rating
8.8
Reviews Sentiment
7.0
Number of Reviews
358
Ranking in other categories
Mobile APM (2nd), Container Monitoring (2nd), AIOps (2nd), AI Observability (4th)
 

Mindshare comparison

As of February 2026, in the Application Performance Monitoring (APM) and Observability category, the mindshare of Amazon OpenSearch Service is 1.5%, up from 1.3% compared to the previous year. The mindshare of Dynatrace is 6.3%, down from 11.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Application Performance Monitoring (APM) and Observability Market Share Distribution
ProductMarket Share (%)
Dynatrace6.3%
Amazon OpenSearch Service1.5%
Other92.2%
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

"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."
"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."
"Amazon OpenSearch Service has enhanced our organization's ability to store and search large amounts of data efficiently."
"This service already sorts data like vectors. They have classified the storage pre-defined."
"I would definitely recommend Amazon OpenSearch Service to other professionals due to its fast and reliable search capabilities."
"Amazon OpenSearch Service provides a managed database solution, so we don't need to manage everything ourselves."
"The initial set up is very easy...We really appreciate Amazon!"
"They have the good documentation in the help text and that is the reason the Amazon is the perfect solution in the current market."
"My primary use of the tool is to keep revenue coming into the business and to use it to help our business team in running their site analytics and web performance tools. They have things like Adobe Analytics that provide them with one layer of data. We use Dynatrace as another railroad metric to both confirm the Adobe Analytics data and enhance it in certain places where Adobe won't give us the answers that we need. In terms of metrics, we've had roughly about 120,000 unique sessions per hour on our website. So, we're capturing a lot of session data and real user data, and all of that data is kept in user sessions. We can look this information up by user ID to tag any given session that we want to find by date/client. E.g., if the user said that they had an issue last Thursday at 11:00 PM, then we can just do a search on their email address, go through all their sessions, and find the one that they mentioned, then dig directly into that one."
"I like the full-stack agents, the Oneagents, and the futures dynamic."
"This is a stable solution."
"The comprehensive application topology visualization in Dynatrace, called Smartscape, has benefited my understanding of system dependencies, and since we are using Dynatrace primarily for observability, we can get top-to-bottom visibility, from infrastructure to network to application front end."
"They have a feature that allows you to monitor the user, and we are able to create a VIP customer."
"It gives more visibility into all the coding (the black screen). It gives a nice screen. You can see ups and downs. You can see where the traffic is getting impacted, more on the convergence side."
"Scalability is great. My biggest concern when we first put it in was the resources that it would take up, network traffic that it might create. But it seems perfectly scalable to any environment. Even on some of our heaviest use servers, it doesn't seem to affect anything."
"We were able to decrease the number of production defects ever since we started using Dynatrace in our test environment."
 

Cons

"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."
"As a user, lower prices or reasonable pricing is always better."
"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."
"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."
"One improvement I would like to see is support for auto-scaling."
"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."
"They could also, develop an observability platform where you could have the ability to inject events, locks, and traces."
"When you're making that transition from AppMon, which is very dashboard-oriented, over to Dynatrace, which is no dashboards, there needs to be something in between so that business buys in a little bit. I would transition my dashboards over so that we don't have to recreate them, because recreating them is very difficult in Dynatrace. It's really hard to say, "Oh, the dashboards that you had on the team that you were using, you're not going to get over here." Or, "You have to re-create them all over again." People are going to ask questions about cost, who is going to do that."
"The dashboarding in Dynatrace is not very good. We have used other monitoring tools like AppDynamics. We are also using AppDynamics for some of our products. If I compare Dynatrace with those monitoring tools, the dashboarding is not as good. If I have to create a dashboard it takes me time, the experience is not that good."
"Infrastructure monitoring could be improved."
"It definitely needs HA, because we have so many applications that are dependent on AppMon that it has been deemed critical. Any downtime, it just affects so many users. So that's one of our key asks for the future."
"The dashboard tool needs to be improved. We need more options, because the look and feel is too old-fashioned."
"C language integration requires manual implementation through the SDK, which is rather difficult and time consuming."
"This solution could be improved with better compatibility with legacy applications."
 

Pricing and Cost Advice

"There is a community edition available and the price of the commercial offering is reasonable."
"You only pay for what you use."
"The solution is not expensive, but priced averagely, I will say."
"Compared to other cloud platforms, it is manageable and not very expensive."
"I would like to see them improve on their licensing and the cost. It's been a challenge for us because the way they have it broken out right now, you have to buy it by units. It's hard for us to know where to put those units because our company is broken up into all these different business units, so it's been challenging in that sense. I just would like to see them improve that model a little bit."
"Pricing can be high, especially for Portuguese standards. But as one says, you get what you pay for."
"Dynatrace is the most expensive APM that we sell, compared to competitors' products. The license pricing could be improved. My customers pay for licensing yearly."
"We have not fully been able to get the full value out of the product. It is expensive compared to other things that we have had in the past. Paying that much and not being able to get the full return on the product is a downgrade. ​"
"The product is really fast to implement and gives customers instant value. This is important, because it reduces costs on the implementation."
"We asked for a three-year license, and the price was quite good."
"It's understandable to do a smaller scale initial evaluation. However, as you identify the product value, don't hesitant in your scope and scale to maximize the initial investment and your opportunity to do a bulk investment of the product."
"Always gives good ROI and total cost of ownership."
report
Use our free recommendation engine to learn which Application Performance Monitoring (APM) and Observability solutions are best for your needs.
881,733 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
Financial Services Firm
15%
Computer Software Company
10%
Manufacturing Company
10%
Government
7%
Financial Services Firm
22%
Manufacturing Company
8%
Computer Software Company
8%
Government
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business7
Midsize Enterprise2
Large Enterprise3
By reviewers
Company SizeCount
Small Business78
Midsize Enterprise50
Large Enterprise298
 

Questions from the Community

What do you like most about Amazon OpenSearch Service?
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
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...
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: January 2026.
881,733 professionals have used our research since 2012.