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Datadog vs Dynatrace comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Oct 19, 2025

Review summaries and opinions

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

ROI

Sentiment score
6.4
Datadog boosts ROI by reducing downtime, enhancing reliability, optimizing resources, improving cost efficiency, and expediting issue resolution.
Sentiment score
6.9
Organizations benefit from Dynatrace through reduced downtime, cost savings, and increased efficiency by streamlining processes and enhancing innovation.
Previously we had thirteen contractors doing the monitoring for us, which is now reduced to only five.
IT Manager at Liberty Mutual Insurance
Datadog has delivered more than its value through reduced downtime, faster recovery, and infrastructure optimization.
Sr. Cloud Infrastructure Engineer at a tech vendor with 51-200 employees
I believe features that would provide a lot of time savings, just enabling you to really narrow down and filter the type of frustration or user interaction that you're looking for.
QA Engineer at Townsquare Interactive
Using Dynatrace directly improved application uptime and reduced customer impacting incidents.
senior DevOps engineer at a tech services company with 10,001+ employees
ROI is hard to specify; however, incidents like impending ransomware attacks highlight its value, though those are exceptional events.
Enterprise Architect at DXC Technology
Save money by identifying problems, thereby reducing monetary losses on their application side.
Technical Manager, Consulting at PT. Mitra Integrasi Informatika
 

Customer Service

Sentiment score
6.7
Datadog offers knowledgeable support but has variable ticket resolution and communication challenges, with limited direct engineer access.
Sentiment score
7.1
Dynatrace's customer service is friendly and knowledgeable, providing quick resolutions, though some users face slow response times.
When I have additional questions, the ticket is updated with actual recommendations or suggestions pointing me in the correct direction.
Applications Web Services Technical Engineer at Ace Hardware
Overall, the entire Datadog comprehensive experience of support, onboarding, getting everything in there, and having a good line of feedback has been exceptional.
Systems Administrator at Townsquare Interactive
I've had a couple instances where I reached out to Datadog's support team, and they have been really super helpful and very kind, even reaching back out after resolving my issues to check if everything's going well.
Security Engineer at Invitation Homes
They have a good reputation, and the support is commendable.
Enterprise Architect at DXC Technology
The technical support from Dynatrace is excellent.
System Administrator at a manufacturing company with 10,001+ employees
Whenever we faced any issues, we could get timely resolution from their support.
senior DevOps engineer at a tech services company with 10,001+ employees
 

Scalability Issues

Sentiment score
7.6
Datadog scales efficiently across diverse environments, handling increased workloads seamlessly, though costs may rise with extensive usage.
Sentiment score
7.3
Dynatrace is praised for its scalability and efficiency in handling large deployments with minimal overhead and proactive monitoring.
Datadog's scalability has been great as it has been able to grow with our needs.
IT Manager at Liberty Mutual Insurance
We did, as a trial, engage the AWS integration, and immediately it found all of our AWS resources and presented them to us.
Systems Administrator at Townsquare Interactive
Datadog's scalability is strong; we've continued to significantly grow our software, and there are processes in place to ensure that as new servers, realms, and environments are introduced, we're able to include them all in Datadog without noticing any performance issues.
Senior Custom Software Development Consultant at a tech vendor with 501-1,000 employees
If it's an enterprise, increasing the number of instances doesn’t pose problems.
Enterprise Architect at DXC Technology
It is a powerful tool and helped us to reduce customer downtime and increase work efficiency.
senior DevOps engineer at a tech services company with 10,001+ employees
The scalability of Dynatrace is very significant, especially considering the current improvements in their features.
Technical Manager, Consulting at PT. Mitra Integrasi Informatika
 

Stability Issues

Sentiment score
8.0
Datadog is praised for its reliable performance with minimal downtime and quick resolution of occasional data import issues.
Sentiment score
7.6
Dynatrace is highly stable with minimal issues, praised for consistent performance, high availability, and effective problem resolution.
Datadog is very stable, as there hasn't been any downtime or issues since I've been here, and it's always on time.
Security Engineer at Invitation Homes
Datadog seems stable in my experience without any downtime or reliability issues.
Full Stack Developer at Townsquare Interactive
Datadog seems to be more stable, and I really want to have a complete demo before making a call to decide on this.
Enterprise solution architect at a manufacturing company with 10,001+ employees
Generally, all are stable at ninety-nine point nine nine percent, but if the underlying infrastructure is not deployed correctly, stability may be problematic.
Enterprise Architect at DXC Technology
There have been no stability issues with Dynatrace.
System Administrator at a manufacturing company with 10,001+ employees
Dynatrace is a SaaS product with frequent agent management updates.
Principal Consultant at a tech consulting company with 11-50 employees
 

Room For Improvement

Datadog struggles with complex pricing, customization needs, usability, and requires improved integration, training, and cost management for large organizations.
Dynatrace users seek simplified pricing, enhanced UI, better integrations, improved documentation, customizable features, and comprehensive tutorials.
It would be great to see stronger AI-driven anomaly detection and predictive analytics to help identify potential issues before they impact performance.
Operations Manager at a financial services firm with 1,001-5,000 employees
We want to be able to customize the cost part, and we would appreciate more granular access control.
Service Manager at PwC
The documentation is adequate, but team members coming into a project could benefit from more guided, interactive tutorials, ideally leveraging real-world data.
Senior Software Engineer at Los Angeles Times Communications, LLC
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.
Enterprise Architect at DXC Technology
I'm specifically looking at AIOps and how we can monitor AIOps-related things, considering we have LLMs and all that stuff.
Performance Architect at a tech vendor with 5,001-10,000 employees
They have been the pioneers from inception, and they remain at the top of the Gartner chart.
Technical Associate at a manufacturing company with 10,001+ employees
 

Setup Cost

Datadog offers flexible pricing but can become costly with larger infrastructures; users appreciate low setup costs and initial free hosts.
Dynatrace's pricing is high but worthwhile for its features; costs vary by usage, with negotiable discounts available.
The setup cost for Datadog is more than $100.
Senior Performance and Architecture Analyst at a manufacturing company with 10,001+ employees
Everybody wants the agent installed, but we only have so many dollars to spread across, so it's been difficult for me to prioritize who will benefit from Datadog at this time.
Applications Web Services Technical Engineer at Ace Hardware
My experience with pricing, setup cost, and licensing is that it is really expensive.
Senior Site Reliability Engineer at a wholesaler/distributor with 5,001-10,000 employees
Dynatrace is known to be costly, which delayed its integration into our system.
System Administrator at a manufacturing company with 10,001+ employees
If setting up in a large scale environment, it is overwhelming because it is expensive.
senior DevOps engineer at a tech services company with 10,001+ employees
The cost can be controlled from our side, and it is very transparent with Dynatrace regarding DPS and licensing.
Technical Manager, Consulting at PT. Mitra Integrasi Informatika
 

Valuable Features

Datadog excels with real-time monitoring, integrations, intuitive dashboards, and analytics, enhancing observability and operational efficiency in complex environments.
Dynatrace provides AI-driven monitoring, anomaly detection, and efficient diagnostics to enhance IT efficiency and boost business productivity.
Our architecture is written in several languages, and one area where Datadog particularly shines is in providing first-class support for a multitude of programming languages.
Senior Software Engineer at Los Angeles Times Communications, LLC
Having all that associated analytics helps me in troubleshooting by not having to bounce around to other tools, which saves me a lot of time.
Senior Site Reliability Engineer at a wholesaler/distributor with 5,001-10,000 employees
Datadog was able to find the alerts and trigger to notify our team in a very prompt manner before it got worse, allowing us to promptly adjust and remediate the situation in time.
Security Engineer at Invitation Homes
The integration with Power BI for generating detailed reports is a standout feature.
System Administrator at a manufacturing company with 10,001+ employees
Dynatrace's AI-driven Davis engine absolutely helps identify performance issues by showing root cause analysis for us up to 200%; whatever is integrated, if it is visible, it can stitch and show.
Technical Associate at a manufacturing company with 10,001+ employees
Dynatrace links compute with services and services with code and other components.
Principal Consultant at a tech consulting company with 11-50 employees
 

Categories and Ranking

Datadog
Ranking in Application Performance Monitoring (APM) and Observability
1st
Ranking in Log Management
3rd
Ranking in Container Monitoring
2nd
Ranking in AIOps
1st
Ranking in AI Observability
1st
Average Rating
8.6
Reviews Sentiment
7.0
Number of Reviews
209
Ranking in other categories
Network Monitoring Software (3rd), IT Infrastructure Monitoring (2nd), Cloud Monitoring Software (2nd), Cloud Security Posture Management (CSPM) (5th)
Dynatrace
Ranking in Application Performance Monitoring (APM) and Observability
2nd
Ranking in Log Management
6th
Ranking in Container Monitoring
1st
Ranking in AIOps
2nd
Ranking in AI Observability
4th
Average Rating
8.8
Reviews Sentiment
7.0
Number of Reviews
356
Ranking in other categories
Mobile APM (2nd)
 

Mindshare comparison

As of January 2026, in the Application Performance Monitoring (APM) and Observability category, the mindshare of Datadog is 5.5%, down from 9.7% 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
ProductMarket Share (%)
Datadog5.5%
Dynatrace6.6%
Other87.9%
Application Performance Monitoring (APM) and Observability
 

Featured Reviews

Dhroov Patel - PeerSpot reviewer
Site Reliability Engineer at Grainger
Has improved incident response with better root cause visibility and supports flexible on-call scheduling
Datadog needs to introduce more hard limits to cost. If we see a huge log spike, administrators should have more control over what happens to save costs. If a service starts logging extensively, I want the ability to automatically direct that log into the cheapest log bucket. This should be the case with many offerings. If we're seeing too much APM, we need to be aware of it and able to stop it rather than having administrators reach out to specific teams. Datadog has become significantly slower over the last year. They could improve performance at the risk of slowing down feature work. More resources need to go into Fleet Automation because we face many problems with things such as the Ansible role to install Datadog in non-containerized hosts. We mainly want to see performance improvements, less time spent looking at costs, the ability to trust that costs will stay reasonable, and an easier way to manage our agents. It is such a powerful tool with much potential on the horizon, but cost control, performance, and agent management need improvement. The main issues are with the administrative side rather than the actual application.
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.
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Answers from the Community

NC
Content Manager at PeerSpot
Jan 5, 2022
Jan 5, 2022
Our organization ran comparison tests to determine whether the Datadog or Dynatrace network monitoring software was the better fit for us. We decided to go with Dynatrace. Dynatrace offers network monitoring capabilities that take into account their users’ need for the most in-depth and accurate information and solutions. It offers analysis powered by a cutting-edge and fully automated AI. This...
See 2 answers
DG
Tech blogger
Nov 21, 2021
Our organization ran comparison tests to determine whether the Datadog or Dynatrace network monitoring software was the better fit for us. We decided to go with Dynatrace. Dynatrace offers network monitoring capabilities that take into account their users’ need for the most in-depth and accurate information and solutions. It offers analysis powered by a cutting-edge and fully automated AI. This artificial intelligence is designed to spot in real time any issue that might appear in the network on both the code and the infrastructure levels. Network administrators will be offered an in-depth analysis of the issue. The report will show the nature of the problem, where in the network it can be located, and potential solutions that can be implemented. Dynatrace’s real-time reporting significantly cuts down the response time of administrators to issues. Datadog’s network monitoring software does not offer AI reporting or analysis. While it does offer features that enable users to track issues in their networks, it does not offer anything that is as robust and in-depth as Dynatrace’s fully automated AI. Administrators have to go and constantly monitor the network for issues instead of receiving automatic notifications that can direct them to the problems at hand. Dynatrace’s dashboards can take the data that the AI collects and lay it out for the administrative or executive teams in clear ways. It is easy to customize these dashboards according to what you need. In fact, the creation of dashboards is now automated. You tell the software what you want to see and it will build the dashboard for you. Datadog offers dashboards that provide near real-time visibility. They track the health of the network applications and provide indicators of the network’s overall condition. These dashboards are somewhat easy to create. However, they lack the automation that Dynatrace provides. Conclusion While Datadog offers a solution that can provide effective network monitoring, Dynatrace’s features make it a better option. Its AI and automation make it a far more effective product.
reviewer1352679 - PeerSpot reviewer
IT Technical Architect at a insurance company with 5,001-10,000 employees
Jan 5, 2022
We also selected Dynatrace but for different reasons.   We were looking for a solution that integrated user experience to backend systems. The RUM data captured by Dynatrace and integration to the transaction trace is phenomenal.   Datadog was lacking in the APM space when we evaluated and was very limited specifically in real user monitoring.   I've seen an early preview of Dyantrace's latest logging capabilities and can say I'm very excited, to say the least.  The solution is automated and traced. For a comprehensive solution to improve observability and reduce outage times we are very happy with Dynatrace.
 

Top Industries

By visitors reading reviews
Financial Services Firm
14%
Computer Software Company
13%
Manufacturing Company
7%
Healthcare Company
6%
Financial Services Firm
23%
Computer Software Company
9%
Manufacturing Company
8%
Government
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business80
Midsize Enterprise46
Large Enterprise98
By reviewers
Company SizeCount
Small Business78
Midsize Enterprise50
Large Enterprise297
 

Questions from the Community

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...
Datadog vs ELK: which one is good in terms of performance, cost and efficiency?
With Datadog, we have near-live visibility across our entire platform. We have seen APM metrics impacted several times lately using the dashboards we have created with Datadog; they are very good c...
Which would you choose - Datadog or Dynatrace?
Our organization ran comparison tests to determine whether the Datadog or Dynatrace network monitoring software was the better fit for us. We decided to go with Dynatrace. Dynatrace offers network ...
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...
What do you like most about Dynatrace?
The solution offers a better overview of applications. It offers end-to-end monitoring, and the user experience is real.
 

Comparisons

 

Overview

 

Sample Customers

Adobe, Samsung, facebook, HP Cloud Services, Electronic Arts, salesforce, Stanford University, CiTRIX, Chef, zendesk, Hearst Magazines, Spotify, mercardo libre, Slashdot, Ziff Davis, PBS, MLS, The Motley Fool, Politico, Barneby's
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 Datadog vs. Dynatrace and other solutions. Updated: December 2025.
879,425 professionals have used our research since 2012.