Dynatrace vs Elastic Stack comparison

Dynatrace and Elastic are both solutions in the Log Management category. Dynatrace is ranked #5 with an average rating of 8.7, while Elastic is ranked #15 with an average rating of 7.4. Dynatrace holds a 3.0% mindshare in Log Management, compared to Elastic’s 2.2% mindshare. Additionally, 95% of Dynatrace users are willing to recommend the solution, compared to 100% of Elastic users who would recommend it.

Dynatrace

Read 359 Dynatrace reviews

33,929 Views
9,839 Comparison Views

95% willing to recommend

Elastic Stack

Read 18 Elastic Stack reviews

6,859 Views
6,859 Comparison Views

100% willing to recommend

Dynatrace

Elastic Stack

Comparison Buyer's Guide

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Executive SummaryUpdated on Oct 9, 2024

Dynatrace and Elastic Stack compete in application performance and log management. While Dynatrace has an edge in analytics and AI-driven insights, Elastic Stack stands out for flexibility and an open-source model.

Features: Dynatrace includes robust monitoring capabilities, AI-driven problem detection, and comprehensive application observability. Elastic Stack offers powerful search capabilities, scalability, and a flexible plugin ecosystem for customization.

Room for Improvement: Dynatrace could enhance integration scope, optimize resource usage, and further refine analytics tools. Elastic Stack should improve security features, simplify setup processes, and address complex learning curves.

Ease of Deployment and Customer Service: Dynatrace provides a streamlined deployment process and proactive support, with users appreciating its quick responsiveness. Elastic Stack offers flexible deployment but requires significant setup time, and community-driven support can be complex for users.

Pricing and ROI: Dynatrace's setup costs are high but justified by its sophisticated toolset and ROI. Elastic Stack's open-source model offers cost-saving potential, though it requires investment in skilled resources for maximum ROI.

To learn more, read our detailed Dynatrace vs. Elastic Stack Report (Updated: June 2026).

Buyer's Guide

Dynatrace vs. Elastic Stack

June 2026

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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

Dynatrace

Ranking in Log Management

5th

Average Rating

8.8

Reviews Sentiment

7.0

Number of Reviews

359

Ranking in other categories

Application Performance Monitoring (APM) and Observability (2nd), Mobile APM (3rd), Container Monitoring (2nd), AIOps (2nd), AI Observability (3rd)

Elastic Stack

Ranking in Log Management

15th

Average Rating

8.0

Reviews Sentiment

6.5

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of June 2026, in the Log Management category, the mindshare of Dynatrace is 3.0%, down from 5.0% compared to the previous year. The mindshare of Elastic Stack is 2.2%, down from 5.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Log Management Mindshare Distribution
Product	Mindshare (%)
Dynatrace	3.0%
Elastic Stack	2.2%
Other	94.8%

Log Management

Featured Reviews

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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Lakshmi Bodepu

Senior Consultant at Skillfield

Offers robust out-of-the-box integrations and streamlines logging processes effortlessly

There are improvements needed for Elastic Stack. It is mostly based on Lucene, and the heart of Elastic Stack is Lucene, which has some limitations. Anything built on top of Lucene often feels an add-on, and that includes vector databases. Elastic Stack can store vector embeddings as well and perform AI and machine learning tasks out of the box without excessive configuration. The main improvements involve increasing speed and compression capabilities; I have seen databases that claim to achieve significantly better compression. While Elastic Stack can manage vast amounts of data, if the mapping is not specified correctly, the indexing time can be slow, especially with many events per second. Improper mapping usually means that every document received gets indexed for all fields, which is not desired. Elastic consultants typically optimize this, but out of the box, as data volume increases, scaling becomes necessary. They are working on these improvements in new versions.

Read full review

Quotes from Members

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

Pros

"We can see which step in a transaction is causing latency, right down to the particular Java class"

"The UEM feature, User Experience Management: Understanding how users are perceiving the application and then connecting that back into back-end systems to understand why things have gotten slow and then dealing with things."

"Dynatrace gives excellent insight into the performance of our applications, helping the IT department respond quickly to problems because the root cause is reported by Dynatrace."

"If I had just one solution which could provide real answers, not just data, the immediate benefit for my team would be to solve problems quicker, and maybe, prevent problems before they happen."

"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."

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

"Quick root cause analysis"

"Dynatrace is stable."

More Dynatrace pros

"The tool is huge, and it performs brilliantly. I tested it for malware, and within two weeks of launching, the product alerted me about a network intrusion. This was a tough test for it, but it performed admirably. The alerting system is excellent, and searching through logs is incredibly efficient. What's impressive is that all three products or options are integrated into one solution. This means I don't need separate logging, monitoring, or antivirus solutions."

"The machine learning capabilities are valuable."

"Elastic Stack is mainly used to monitor servers and APIs. It helps ensure the software's availability and sends notifications at the right time so the system is not down for a long time. The tool's stability and advanced features, such as anomaly detection, are the most valuable features. The benefit of using it is real-time monitoring."

"The only beneficial aspect of Elastic Stack is that it's open source."

"The centralized logging capabilities of Elastic Stack have helped me streamline my logging processes significantly because there are many open-source tools available, such as Filebeat and Logstash, to collect the logs."

"Elastic Stack has made a positive impact as we can now see our logs."

"We can group a lot of alarms into one automation alarm supervision. The alarm supervision allows us to put the alarm under the same. It's quite helpful for us. We used that to suppress our alarms. Elastic already provides the agent. It is easy to integrate Elastic Stack with other devices and vendors."

"I have benefited from the security features provided by X-Pack in Elastic Stack, particularly the SIEM capability, which is very good for checking security issues."

More Elastic Stack pros

Cons

"We would like to see: * More Integration with cloud services * Simplified licensing * Single pane of glass view * Simplified reporting I* ntegration with ServiceNow and PagerDuty"

"The installation process had quite a few moving parts, so it was a little tricky getting everything to work in first go."

"Perhaps there is a FAQ which explains the metrics and how to interpret them, and I just haven't seen it. This would be beneficial in providing context to allow sharing the daily metrics reported within the company."

"For the user, for the customer, they expect a solution to be not so expensive."

"Dashboarding and having different templates available for more business reporting, or even other metrics, would be useful."

"When something goes wrong, support is unbelievable. I really can't expect that they are so slow in the support, which I really did not like."

"Our environment is very complicated anyway, so the initial setup was a bit of a struggle, but only because we have so many applications and JVMs that we have been working on for long time."

"Product reporting still needs improvement."

More Dynatrace cons

"The implementation of dashboards in the solution needs to be made easier...I had some issues with the ports and configuration since it was kind of complex to implement with Docker."

"Improvements are needed in the solution in areas like SOAR and TIP, where there are certain shortcomings."

"There could be better documentation."

"Elastic Stack's search capabilities can be challenging, especially when searching for precise data from past years, such as two or ten years ago. Its indexing performance for exact data retrieval may decrease as the data volume grows. Therefore, I believe there is room for improvement in the product's search functionality. It needs to improve its pricing as well."

"While Elastic Stack can manage vast amounts of data, if the mapping is not specified correctly, the indexing time can be slow, especially with many events per second."

"I would rate the technical support by Elastic as five or six out of ten. They should improve their response time and first-level support, particularly knowledge, which is very important for using Elasticsearch."

"It lacks a clear NDR (Network Detection and Response) feature. If Elastic could enhance this aspect, it would significantly boost its capabilities."

"Agent deployment is a little tough in the on-premise version."

More Elastic Stack cons

Pricing and Cost Advice

"Always gives good ROI and total cost of ownership."

"Surprisingly, it is quite expensive. That is something that we could always see: Improved pricing and the overall construct on how do we use each license in regards to usage of the tool."

"Pricing can be high, especially for Portuguese standards. But as one says, you get what you pay for."

"If there are no corporate requirements to run Dynatrace Managed (operating it yourself), I would definitely go for the size option. For small and medium-sized companies, the size option is probably the cheapest one. You don't need to look into operating it. You don't need to run hardware. It is pay as you go."

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

"It is quite expensive for startups."

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

"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."

More Dynatrace pricing and cost advice

"It depends on the specifics, but generally, Elastic is economical for certain use cases."

"I rate the solution's pricing a six out of ten."

"If I compare Elastic Stack to the other products in the market, I would say that the tool is available at a competitive price."

"Ultimately, the pricing depends upon the capacity planning that the enterprise architect does."

"I used the open-source version of Elastic Stack, because of which I did not have to pay anything."

"The product is expensive."

"The pricing is reasonable."

"We are using the open-source community version of the product."

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Top Industries

By visitors reading reviews

Financial Services Firm

20%

Manufacturing Company

Computer Software Company

Government

Financial Services Firm

10%

Computer Software Company

10%

Government

Manufacturing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	80
Midsize Enterprise	50
Large Enterprise	299

By reviewers
Company Size	Count
Small Business	9
Midsize Enterprise	3
Large Enterprise	7

Questions from the Community

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...

See all answers

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...

See all answers

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...

See all answers

What is your experience regarding pricing and costs for Elastic Stack?

My experience with Elastic Stack pricing indicates that it is node-based. While I do not have complete pricing details, they are available online. If I choose Elastic Cloud, it includes licensing a...

See all answers

What needs improvement with Elastic Stack?

I would like to improve Elastic Stack by addressing the current big problem we face with importing logs and log files, such as syslogs. To import these log files, we need to design the ingest pipel...

See all answers

What is your primary use case for Elastic Stack?

Elastic Stack is primarily used for everything related to security, including security systems, checking the security system, and also servers and networks.

See all answers

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Compared 24% of the time

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Compared 9% of the time

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Compared 5% of the time

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Compared 4% of the time

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Compared 4% of the time

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Product Reports

Buyer's Guide

Dynatrace

June 2026

Download Dynatrace product report

Buyer's Guide

Elastic Stack

June 2026

Download Elastic Stack product report

Overview

Dynatrace offers AI-driven root cause analysis, full-stack observability, and more. Its seamless integration and automated alerts enhance operational efficiency for application performance monitoring across diverse environments.

Dynatrace provides users with comprehensive tools for proactive monitoring, leveraging AI-powered insights to detect bottlenecks and monitor user behavior. It enhances system dependency visualization via Smartscape and offers deep transaction insights through PurePath. Session Replay captures real user experiences, while custom dashboards emphasize essential metrics. Integration capabilities and seamless deployment are key, though users face challenges with navigation, integration, and licensing. Enhancing third-party training tools and optimizing real-time AI diagnostics is desired, with demands for better database monitoring reports and simpler UI.

What are Dynatrace's key features?

AI-Driven Root Cause Analysis: Identifies issues with precision.
Full-Stack Observability: Monitors across all platforms.
Smartscape: Visualizes system dependencies.
PurePath: Provides transaction flow insights.
Session Replay: Captures user interactions.
Custom Dashboards: Focuses on essential metrics.
Automated Alerts: Minimizes downtime.

What benefits should users consider?

Operational Efficiency: Enhances performance management.
Seamless Deployment: Reduces manual intervention.
Integration Capabilities: Ensures smooth system coexistence.
User Experience Insights: Tracks behavior and reliability.

Dynatrace is implemented in industries like finance for monitoring infrastructure and user experience. In manufacturing, it helps ensure system reliability. Its AI-driven approach is crucial for cloud deployments, supporting performance optimization and proactive monitoring.

Dynatrace

Elastic Stack is a comprehensive tool for log management, observability, indexing, and security, widely adopted for managing logs, alert creation, SIEM, SOC, and threat analysis. It integrates with CloudStrike and Endpoint Security, enhancing search capabilities and Application Performance Monitoring.

Elastic Stack offers powerful solutions for logging, data storage, and visualization with Kibana. It allows MSSPs to efficiently manage security and assists companies with data analysis. It's known for its easy implementation, scalability, real-time monitoring, and extensive integrations. The open-source nature and community support add significant value, making it a popular choice across industries. While highly capable, there is a need for enhancement in dashboard implementation, data integration, and certain advanced features. Licensing, compatibility, and cost-related improvements can further elevate its efficacy.

What are the key features of Elastic Stack?

Powerful Search Capabilities: Offers robust, efficient searching across vast datasets
Scalability: Easily handles large volumes of data
Anomaly Detection: Identifies irregular patterns in data
Machine Learning: Enhances data analysis with intelligent insights
Real-Time Monitoring: Provides up-to-date monitoring of applications and systems
Extensive Integration: Supports diverse tools and solutions

What benefits should users consider?

Ease of Implementation: Quick setup and integration into existing systems
Robust Security: Comprehensive monitoring and analysis capabilities
Community Support: Ongoing improvements and guidance from a dedicated community
Hybrid Deployment: Flexibility in using both cloud and on-premise solutions

In healthcare, Elastic Stack enhances database search capabilities, aiding in patient record management and data retrieval. Managed Security Service Providers use it for comprehensive security management, integrating it with tools like firewalls and authentication systems. Companies benefit from its application in Application Performance Monitoring and its flexibility in adapting to hybrid environments.

Elastic

Sample Customers

Audi, Best Buy, LinkedIn, CISCO, Intuit, KRONOS, Scottrade, Wells Fargo, ULTA Beauty, Lenovo, Swarovsk, Nike, Whirlpool, American Express

Information Not Available

Buyer's Guide

Dynatrace vs. Elastic Stack

June 2026

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