Amazon OpenSearch Service vs Dynatrace comparison

Amazon OpenSearch Service

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95% willing to recommend

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Executive SummaryUpdated on Nov 16, 2025

Dynatrace and Amazon OpenSearch Service both compete in the realm of IT monitoring and analytics. Dynatrace seems to have the upper hand due to its advanced monitoring capabilities and AI-driven insights.

Features: Dynatrace offers full-stack monitoring with AI-driven anomaly detection, ease of deployment, and custom dashboard creation, providing insights to quickly identify performance issues. Amazon OpenSearch Service provides a scalable solution for search and analytics with OpenSearch dashboards that integrate effectively with various tools, making it ideal for data-intensive tasks.

Room for Improvement: Dynatrace users often request a more simplified interface and better integration with external tools. Its pricing and licensing complexity is also a concern. Amazon OpenSearch Service could improve configuration flexibility and better integrate with Kibana, enhancing real-time analytics and automatic scaling to reduce manual interventions.

Ease of Deployment and Customer Service: Dynatrace is frequently praised for its streamlined deployment and detailed customer support, especially in both cloud and on-premises settings. Amazon OpenSearch Service offers simple deployment, particularly in the public cloud, with satisfactory customer service, although it could benefit from faster response times and more comprehensive documentation.

Pricing and ROI: Dynatrace is seen as a premium product with a high price point, justified by its extensive features and excellent ROI through reduced troubleshooting time and increased uptime. Amazon OpenSearch Service offers a cost-effective managed service, advantageous for its flexible pay-as-you-go model, though it might become costly for large-scale data applications.

To learn more, read our detailed Amazon OpenSearch Service vs. Dynatrace Report (Updated: January 2026).

Amazon OpenSearch Service vs. Dynatrace

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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

26th

Ranking in Log Management

22nd

Average Rating

7.6

Reviews Sentiment

6.7

Number of Reviews

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 (1st), AIOps (2nd), AI Observability (3rd)

Mindshare comparison

As of January 2026, in the Application Performance Monitoring (APM) and Observability category, the mindshare of Amazon OpenSearch Service is 1.6%, up from 1.2% compared to the previous year. The mindshare of Dynatrace is 6.6%, 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
Product	Market Share (%)
Dynatrace	6.6%
Amazon OpenSearch Service	1.6%
Other	91.8%

Application Performance Monitoring (APM) and Observability

Featured Reviews

Md. Shahariar Hossen

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.

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Manish Indupuri

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.

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Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros

"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."

"They have the good documentation in the help text and that is the reason the Amazon is the perfect solution in the current market."

"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."

"The initial set up is very easy...We really appreciate Amazon!"

"This service already sorts data like vectors. They have classified the storage pre-defined."

"In case there is a failure, Elastic manages everything well, and there no major downtime."

"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."

More Amazon OpenSearch Service pros

"It is useful for analytics, web performance, end-to-end coverage of a user experience, and database analytics. It is absolutely a monitoring tool that is worth having. The visibility that it provides is a unique feature of this product."

"The ability to real-time monitor servers and databases without any major drain on application resources is invaluable."

"The solution has a very good user interface."

"Our development group has started using Dynatrace extensively. It helps them find bottlenecks caused by code."

"The server monitoring is very accurate in this tool. We are able to prevent many critical Incidents."

"Dynatrace has multiple features that I need, but I love that you can analyze traffic, including any bottlenecks. I also find the tool user-friendly and has an easy-to-navigate interface."

"I think Dynatrace has good integration. I saw an integration with xMatters where, when there's a problem, it can kick out a message to the whomever it is, with xMatters."

"Helps in managing capacity planning, services performance, and tuning database performance and optimizing queries."

More Dynatrace pros

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."

"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."

"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."

"There is a problem with the database. Amazon only provides the hosting to run our applications bias, but there is no option to manage the database within the Elasticsearch product."

"One improvement I would like to see is support for auto-scaling."

"They can enhance data visualization."

"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."

More Amazon OpenSearch Service cons

"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."

"Session export for offline analysis, like it was in AppMon, would be also nice."

"I'd like to see more agents ready to be deployed. I know that it's possible to develop integration with Dynatrace API, but in day-to-day operations it's hard to do that kind of customization. So if they had more agents for more platforms and more applications, I think it would be better."

"We found it was quite challenging in terms of the learning curve."

"We are waiting on the new features to see how they perform."

"As the product is evolving quickly and product features are added on a monthly basis, a more transparent roadmap would be more than welcome."

"The configuration of this solution is quite complex."

"We have had problems with our middle layer application implementation."

More Dynatrace cons

Pricing and Cost Advice

"There is a community edition available and the price of the commercial offering is reasonable."

"The solution is not expensive, but priced averagely, I will say."

"Compared to other cloud platforms, it is manageable and not very expensive."

"You only pay for what you use."

"We license it for two environments, typically all of production and all of one lower environment, usually our staging environment. If there is a downside to Dynatrace, the only thing I can think of would be the cost. If it were cheaper, I'd have it in all my environments. I don't think they're charging more than it's worth, by any means. It's just that good software costs money."

"The pricing and licensing are very expensive."

"Setup cost is very low considering that it is an almost totally, automatic process."

"They could improve their price ranges, as there is no option for startups or testing."

"Do a PoC and see if you like it."

"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. "

"Its license is a bit expensive. We renew it yearly."

"Dynatrace is still kind of an expensive solution compared to others. But I recognize that they are ahead of the competition when we do a feature by feature comparison."

More Dynatrace pricing and cost advice

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Top Industries

By visitors reading reviews

Financial Services Firm

15%

Computer Software Company

11%

Manufacturing Company

10%

Government

Financial Services Firm

22%

Manufacturing Company

Computer Software Company

Government

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	8
Midsize Enterprise	2
Large Enterprise	2

By reviewers
Company Size	Count
Small Business	78
Midsize Enterprise	50
Large Enterprise	298

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?

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 t...

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...

Grafana Loki vs Amazon OpenSearch Service

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Product Reports

Amazon OpenSearch Service

Download Amazon OpenSearch Service product report

Download Dynatrace product report

Also Known As

Amazon Elasticsearch Service

No data available

Overview

Amazon OpenSearch Service provides scalable and reliable search capabilities with efficient data processing, supporting easy domain configuration and integration with numerous systems for enhanced performance.

Amazon OpenSearch Service offers advanced features for handling JSON, diverse search grammars, quick historical data retrieval, and ultra-warm storage. It also includes customizable dashboards and seamless tool integration for large enterprises. With its managed infrastructure, OpenSearch Service supports efficient system analysis and business analytics, improving overall performance and flexibility. Despite these features, areas like configuration complexity, lack of auto-scaling, and integration with Kibana require attention. Users seek enhanced documentation, better pricing options, and more flexible data handling. Desired improvements include default filters, mapping configuration, and alerting capabilities. Enhanced data visualization and Compute Optimizer Service integration are also recommended for future updates.

What features define Amazon OpenSearch Service?

Scalable Search: Offers reliable search capabilities across vast datasets.
JSON Handling: Supports efficient management of JSON data.
Ultra-warm Storage: Enables cost-effective historical data retrieval.
Dashboard Customization: Supports tool integration and tailored visuals.
System Upgrades: Allows for seamless infrastructure upgrades.

What benefits and ROI should users consider?

Performance Enhancement: Significant improvement in search and data retrieval.
Cost-Effectiveness: Provides a cloud-native solution optimized for AWS environments.
Comprehensive Analytics: Delivers detailed insights for business applications.

Amazon OpenSearch Service is utilized in various industries for log management, data storage, and search capabilities. It supports infrastructure and embedded management, analyzing logs from AWS Lambda, Kubernetes, and other services. Companies use it for application debugging, monitoring security and performance, and customer behavior analysis, integrating it with tools like DynamoDB and Snowflake for a cost-effective solution.

Amazon Web Services (AWS)

Dynatrace is an AI-powered software intelligence monitoring platform that accelerates digital transformation and simplifies cloud complexities. Dynatrace is an entirely automated full-stack solution that provides data and answers about the performance of your applications and deep insight into every transaction throughout every application, including the end-user experience. By modernizing and automating enterprise cloud operations, users can deliver an optimal digital experience with higher quality software to customers faster.

Dynatrace offers an all-in-one automated artificial intelligence solution that brings together application performance, cloud and infrastructure, and digital experience monitoring. Dynatrace accelerates performance-driven results through operations, development, and business teams with a shared metrics platform. In addition, users are provided a full-stack monitoring experience with three patented technologies:

Smartscape - visualization mechanism that maps the totality of everything working in your environment and detects any casual dependencies between your applications, processes, websites, services, hosts, cloud infrastructure, and networks.
OneAgent - a technology that analyzes, gathers ,and unifies all business performance metrics throughout every layer of your technology stack.
PurePath Technology - code-level context and timings are captured from the mainframe to the cloud for all end-to-end transactions.

What does Dynatrace offer?

Dynatrace redefines how organizations monitor their digital ecosystems. The solution offers:

Cloud Automation: With AI engine Davis®, users can see the exact reason for problems and facilitate quick auto-remediation and intelligent cloud orchestration.
Application Security: With automated application vulnerability management, users can deliver applications faster and more securely.
Infrastructure Monitoring: Convenient broad visibility across your environments is provided with streamlined, automated infrastructure monitoring.
Digital Experience Monitoring (DEM): Optimize your applications, provide better support, and improve user experience with a combination of Real User Monitoring (RUM), Session Replay, and synthetic monitoring throughout your environment.
Applications and Microservices: For complex cloud environments, Dynatrace can automatically provide visibility and root-cause answers. It can also monitor microservices.
Digital Business Analytics: Get AI-powered, real-time answers to analytical business queries with KPIs and metrics that are already flowing through applications.

Reviews from Real Users

Dynatrace is the only solution that provides answers to organizations based on deep insight into each user, transaction, and organization's environment.

Barry P., a managing performance engineer at Medica Health Plans, writes, "With Dynatrace, we have synthetic checks and real-user monitoring of all of our websites, places where members and providers can interact with us over the web. We monitor the response times of those with Dynatrace, and it's all integrated into one place."

A consultant at a tech service company notes, "A feature that's one of the highlights of Dynatrace is the AI. The second most valuable feature is OneAgent. Between infrastructures, applications, operating systems, you can deploy with just a single agent and can practically install and forget about it."

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

Amazon OpenSearch Service vs. Dynatrace