

Dynatrace and Datadog compete in application performance management and monitoring solutions. Datadog often has the edge with its extensive feature set and multi-cloud appeal, while Dynatrace stands out for its automation and AI-driven analytics.
Features: Dynatrace offers AI-driven analytics, automatic root-cause analysis, and self-monitoring capabilities. Datadog provides robust integrations, real-time dashboards, and extensive features suitable for multi-cloud environments.
Room for Improvement: Dynatrace could improve by expanding integration options, enhancing user interface customization, and reducing complexity for new users. Datadog may benefit from refining its alert management, optimizing cost for high-volume data, and expanding support for emerging technologies.
Ease of Deployment and Customer Service: Dynatrace offers a straightforward deployment process with automation enhancing operational efficiency, while Datadog's cloud-based model simplifies deployment and is known for supportive service, often being more user-friendly.
Pricing and ROI: Dynatrace’s pricing is seen as premium, with high initial costs balanced by a high ROI due to enhanced efficiency. Datadog offers flexible pricing models, making it accessible to various enterprises and providing pricing flexibility.
Previously we had thirteen contractors doing the monitoring for us, which is now reduced to only five.
Datadog has delivered more than its value through reduced downtime, faster recovery, and infrastructure optimization.
We have also seen fewer escalations for minor issues because alerts help us catch problems earlier, which indirectly reduces downtime and improves overall efficiency.
Using Dynatrace directly improved application uptime and reduced customer impacting incidents.
ROI is hard to specify; however, incidents like impending ransomware attacks highlight its value, though those are exceptional events.
Save money by identifying problems, thereby reducing monetary losses on their application side.
When I have additional questions, the ticket is updated with actual recommendations or suggestions pointing me in the correct direction.
Overall, the entire Datadog comprehensive experience of support, onboarding, getting everything in there, and having a good line of feedback has been exceptional.
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.
They have a good reputation, and the support is commendable.
The technical support from Dynatrace is excellent.
Whenever we faced any issues, we could get timely resolution from their support.
Datadog's scalability has been great as it has been able to grow with our needs.
Since it is a SaaS platform, we did not have to worry about backend scaling.
We have not faced any major performance issues from the platform side; it handles increased metrics and monitoring loads smoothly.
If it's an enterprise, increasing the number of instances doesn’t pose problems.
It is a powerful tool and helped us to reduce customer downtime and increase work efficiency.
The scalability of Dynatrace is very significant, especially considering the current improvements in their features.
Metrics collection and alerting have been consistent in day-to-day use.
Datadog is very stable, as there hasn't been any downtime or issues since I've been here, and it's always on time.
Datadog seems stable in my experience without any downtime or reliability issues.
Generally, all are stable at ninety-nine point nine nine percent, but if the underlying infrastructure is not deployed correctly, stability may be problematic.
There have been no stability issues with Dynatrace.
Dynatrace is a SaaS product with frequent agent management updates.
It would be great to see stronger AI-driven anomaly detection and predictive analytics to help identify potential issues before they impact performance.
We want to be able to customize the cost part, and we would appreciate more granular access control.
Having more transparent and granular cost control features would make it easier to manage usage.
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.
Dynatrace could enhance cost and licensing structures, as the current pricing can be expensive for large-scale deployments.
I'm specifically looking at AIOps and how we can monitor AIOps-related things, considering we have LLMs and all that stuff.
The setup cost for Datadog is more than $100.
Pricing is mainly based on data ingestion, such as logs, metrics, and traces, and it can increase quickly if everything is enabled by default.
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.
Your initial investment in licensing costs pales in comparison to the question of why you would charge a license fee and usage for a tool if you are going to be three times higher in processing the data you are sending via the agents.
Dynatrace is known to be costly, which delayed its integration into our system.
If setting up in a large scale environment, it is overwhelming because it is expensive.
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.
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.
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.
The integration with Power BI for generating detailed reports is a standout feature.
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.
Dynatrace links compute with services and services with code and other components.
| Product | Mindshare (%) |
|---|---|
| Dynatrace | 4.9% |
| Datadog | 4.1% |
| Other | 91.0% |


| Company Size | Count |
|---|---|
| Small Business | 81 |
| Midsize Enterprise | 50 |
| Large Enterprise | 100 |
| Company Size | Count |
|---|---|
| Small Business | 81 |
| Midsize Enterprise | 50 |
| Large Enterprise | 303 |
Datadog offers a comprehensive platform for monitoring applications and infrastructure, providing insights into real-time metrics and optimizing performance with extensive integrations and analytics capabilities.
Datadog provides a robust monitoring platform designed for applications and infrastructure tracking. With intuitive dashboards and real-time metrics visibility, it enhances operational efficiency and enables proactive incident management. The platform supports data centralization across services, reducing downtime through its monitoring capabilities. Integration with AWS, Kubernetes, and other systems aligns with performance tracking and infrastructure management, while APM and RUM features allow tracing and user behavior analytics.
What are Datadog's Key Features?Industries utilizing Datadog benefit from detailed monitoring and comprehensive analytics across multi-cloud environments. Companies in e-commerce, finance, and technology sectors implement it for end-to-end monitoring ensuring robust application performance. The platform assists in maintaining standards through integration with services like AWS and Azure, providing efficient observability and allowing proactive issue resolution.
Dynatrace is advancing observability for today’s digital businesses, helping to transform the complexity of modern digital ecosystems into powerful business assets. By leveraging AI-powered insights, Dynatrace enables organizations to analyze, automate, and innovate faster to drive their business forward. To learn more about how Dynatrace can help your business, visit www.dynatrace.com, visit our blog and follow us on LinkedIn and X @dynatrace.
We monitor all Application Performance Monitoring (APM) and Observability reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.