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Dynatrace

byDynatrace
in
4.6
2025
Market Presence: Observability Platforms, Infrastructure Monitoring Tools

Overview

Product Information on Dynatrace

Updated 13th October 2025

What is Dynatrace?

Dynatrace is a software that provides observability, monitoring, and analytics capabilities for applications, cloud infrastructure, and user experiences. It automates the collection and analysis of performance data across distributed environments, offering features such as real-time application tracing, infrastructure monitoring, digital experience management, and problem detection using artificial intelligence. The software assists organizations in identifying and resolving performance issues, optimizing resource utilization, and ensuring reliability of digital services. Its analytics engine processes large volumes of data to deliver insights that support operational efficiency and service availability for complex technology landscapes including cloud-native and hybrid environments.

Dynatrace Pricing

Dynatrace software uses a consumption-based pricing model where charges are determined by the amount of monitoring and observability resources used, such as hosts, applications, infrastructure, and digital experience modules Users can select from various modules and scale usage based on specific requirements with pricing adjusted according to volume and deployment options

Overall experience with Dynatrace

IT Associate
50M - 250M USD, Software
FAVORABLE

“DQL Centralization Praised Yet Deployment and Documentation Difficulties Persist”

4.0
Jan 29, 2026
This text serves as a placeholder and does not reflect the user’s review responses or opinions. This text serves as a placeholder and does not reflect the user’s review responses or opinions. This text serves as a placeholder and does not reflect the user’s review responses or opinions.
SENIOR SITE RELIABILITY ENGINEER
500M - 1B USD, Insurance (except health)
CRITICAL

“Poor guidance and support after purchase and a general tendency to translate any request for assistance into an excuse to increase contract spend.”

2.0
Jan 29, 2026
This text serves as a placeholder and does not reflect the user’s review responses or opinions. This text serves as a placeholder and does not reflect the user’s review responses or opinions. This text serves as a placeholder and does not reflect the user’s review responses or opinions.

Badges

Gartner Peer Insights recognizes vendors who meet or exceed both the market average Overall Experience and the market average User Interest and Adoption score through a Customers’ Choice distinction.
2025
For Market:
Observability Platforms
2025
For Market:
Digital Experience Monitoring

About Company

Company Description

Updated 8th April 2025

Dynatrace is the AI-powered observability platform. We empower today’s AI-enabled digital enterprises to understand their systems and data so they can analyze, automate, and innovate faster. With Dynatrace, you can transform complexity into your greatest asset and drive your business forward.

Company Details

Updated 8th April 2025
Company type
Public
Year Founded
2005
Head office location
Waltham, United States
Number of employees
1001 - 5000
Annual Revenue
1B-3B USD
Website
https://www.dynatrace.com

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Key Insights

A Snapshot of What Matters - Based on Validated User Reviews

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Peer Discussions

What Your Peers Are Saying About Dynatrace

VP of IT
How are you approaching Observability in the Cloud across both non-prod and prod environments? Are you paying for a tool (e.g. Dynatrace) across all environments or only production? If only production, are your devops teams able to use the tool effectively in production after not having used it in development? If across all environments, how is the cost not prohibitive? Or, did you manage to accept it as a cost of doing business?
Vice President of Enterprise Solutions
I’ve found that a 'tool-first' approach can sometimes lead to unnecessary costs. Instead, consider a 'problem-first' mindset: pinpoint specific observability needs in both non-prod and prod environments before selecting tools. If using tools like Dynatrace across all environments, ensure they’re utilized effectively by your DevOps teams. For those managing costs, evaluate if a tool’s expense is justified by its value and how it contributes to overall efficiency. Balancing cost with effectiveness is key to a sustainable observability strategy.
See Full Discussion
12 Aug 20243.1k Views3 Comments
Director of Corporate Development
Curious to hear how organizations are leveraging observability tools in relation to their ITSM platforms. Where is the source of truth for SLAs/SLOs? How is application dependency mapping handled? Is there integration between the two technologies? We are using Dynatrace (observability) and ServiceNow (ITSM), for reference.
Sr Software Principal engineer (Gen AI and ML Security)
Servicenow + Dynatrace is a decent combination. Although, it would be better to maintain the product/app dependencies in a separate system, infra dependency in Servicenow, observability in dynatrace/splunk/grafana
See Full Discussion
4 Mar 20254.3k Views1 Comment

Dynatrace Reviews and Ratings

4.6

(2455 Ratings)

Rating Distribution

5 Star
59%
4 Star
37%
3 Star
3%
2 Star
0%
1 Star
0%
Why ratings and reviews count differ?
  • IT Associate
    50M-1B USD
    Software
    Review Source

    DQL Centralization Praised Yet Deployment and Documentation Difficulties Persist

    4.0
    Jan 29, 2026
    Out of the box experience has been fantastic, but the documentation has proven to be sparse and hard to decipher. A greater focus on use cases and real-world examples of implementations would prove to be much more beneficial. I also think that better support would be helpful. There have been a dozen times where my support ticket would be passed around L1 techs for a very advanced technical use case instead of being sent up to SMEs for faster resolution.
  • IT Associate
    50M-1B USD
    Software
    Review Source

    DQL Centralization Praised Yet Deployment and Documentation Difficulties Persist

    4.0
    Jan 29, 2026
    Out of the box experience has been fantastic, but the documentation has proven to be sparse and hard to decipher. A greater focus on use cases and real-world examples of implementations would prove to be much more beneficial. I also think that better support would be helpful. There have been a dozen times where my support ticket would be passed around L1 techs for a very advanced technical use case instead of being sent up to SMEs for faster resolution.
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User Sentiment About Dynatrace
Reviewer Insights for: Dynatrace
Deciding Factors: Dynatrace Vs. Market Average
Performance of Dynatrace Across Market Features

Dynatrace Likes & Dislikes

Like

I love the OpenPipeline implementation that allows us to modify retention on logs, metrics, and traces. I love the power of DQL centralizing all of the data on Dynatrace into a single query language that can be cross-correlated with trace headers and correlation ID's. I love the simplicity of the Dynatrace Operator and how it instruments entire namespaces with code-level visibility just with a couple of helm commands and some simple yaml configuration.

Like

I love the OpenPipeline implementation that allows us to modify retention on logs, metrics, and traces. I love the power of DQL centralizing all of the data on Dynatrace into a single query language that can be cross-correlated with trace headers and correlation ID's. I love the simplicity of the Dynatrace Operator and how it instruments entire namespaces with code-level visibility just with a couple of helm commands and some simple yaml configuration.

Like

I love the OpenPipeline implementation that allows us to modify retention on logs, metrics, and traces. I love the power of DQL centralizing all of the data on Dynatrace into a single query language that can be cross-correlated with trace headers and correlation ID's. I love the simplicity of the Dynatrace Operator and how it instruments entire namespaces with code-level visibility just with a couple of helm commands and some simple yaml configuration.

Dislike

There was virtually no guidance on best practices. It felt like when asked about how to best do things, we were either given very specific answers (like which buttons to click to do a thing) or a general you're doing great, whatever way you are doing it is right!. Things like critical features like segregating data via buckets to ensure faster query response time with reduced cost was never highlighted until we explicitly asked about it. This was AFTER asking for best practices guidance.

Dislike

There was virtually no guidance on best practices. It felt like when asked about how to best do things, we were either given very specific answers (like which buttons to click to do a thing) or a general you're doing great, whatever way you are doing it is right!. Things like critical features like segregating data via buckets to ensure faster query response time with reduced cost was never highlighted until we explicitly asked about it. This was AFTER asking for best practices guidance.

Dislike

There was virtually no guidance on best practices. It felt like when asked about how to best do things, we were either given very specific answers (like which buttons to click to do a thing) or a general you're doing great, whatever way you are doing it is right!. Things like critical features like segregating data via buckets to ensure faster query response time with reduced cost was never highlighted until we explicitly asked about it. This was AFTER asking for best practices guidance.