Datadog and Dynatrace are popular DevOps tools. Find out how Datadog and Dynatrace compare to performance monitoring, automation features and synchronized dashboards.
Datadog and Dynatrace both offer solutions for monitoring companies and organizations’ development and operational processes† While these DevOps tools serve similar purposes, they run their services with different capabilities and features for their users. Learn more about Datadog and Dynatrace to determine which one is better for your DevOps needs.
What is Data Dog?
data dog is a DevOps model that allows users to streamline collaboration and unification between their organization’s operations and development teams. The tool provides unified DevOps monitoring data, providing real-time insight into organizational health and performance.
What is Dynatrace?
Dynatrace provides DevOps services with its AI-powered platform. The AI, automation, and observation platform helps users build an integrated DevOps toolchain, eliminate friction between the development and operations teams, and improve collaboration and code quality.
data dog vs. Dynatrace function comparison
Common Features of Datadog and Dynatrace
| Performance monitoring | Analytics | Automation Features | Synchronized dashboards | SIEM Features | Root cause automation | |
|---|---|---|---|---|---|---|
| data dog | Yes | Yes | Yes | Yes | Yes | New |
| Dynatrace | Yes | Yes | Yes | Yes | New | Yes |
Performance monitoring
Datadog users can stay on top of every part of their organizational processes with the tool’s performance monitoring features. The product uses integrations with other systems and services to collect statistics and events across the organization. In addition, the tool can monitor applications across distributed systems for troubleshooting purposes and optimizing their application performance. Users can quickly analyze and visualize log data and proactively monitor the user experience with end-to-end visibility in the platform. Metrics and traffic flow visuals allow users to understand and make decisions based on their monitored performance data.
Dynatrace’s all-in-one platform provides application performance monitoring tools to measure performance metrics and user experience monitoring. It is intended to detect performance problem indicators before the users and the organization are affected. The platform monitors performance through log monitoring, synthetic monitoring, and problem detection and analysis. Synthetic monitoring monitors application availability and performance from a customer’s perspective, while log monitoring analyzes log events for issues and pattern changes.
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Automation Features
Datadog provides automation tools for various DevOps purposes. The tool can automatically identify and open logs from users’ log data sources for exploration and analysis. Monitoring automation features allow users to automatically configure monitoring controls and integrations. It can also connect to automation tools, such as configuration management tools and orchestration platforms, for a wider range of automation capabilities and performance monitoring across all aspects of the DevOps toolchain. The end-to-end test automation helps organizations maintain their application performance so that real users can get the most out of it. Automated monitoring features like these can help users find and fix problems quickly.
Dynatrace uses automation to monitor and analyze organizational performance and DevOps processes. They offer many automation features and capabilities, including automatic detection of all processes running on the host to activate instrumentation and map relevant data. Users can view this data thanks to the automatic data dependency mapping that provides real-time mapping of dependencies and relationships for all entities. In addition, Dynatrace’s proactive automatic problem identification determines the severity of an incident based on typical performance to alert users to problems when necessary. Finally, root cause remediation capabilities automatically analyze incidents to determine their root causes and can even automate remediation through integrations with third-party solutions.
Synchronized dashboards
Datadog’s interactive dashboards provide customizable visuals and real-time data. Data is easily synthesized within the dashboards and users can create and automatically generate custom dashboards within the system. Users can analyze their data in the dashboards with transformations, custom functions, and correlations using built-in formulas or code editing. In addition, users can customize the views and visualizations to display relevant data with features such as charts, maps, alerts, and value marker. A great aspect of Datadog’s software is that users can share their dashboards with anyone in their organization, or generate verified public dashboards to simplify and support collaboration efforts.
Dynatrace’s dashboards provide users with targeted monitoring data so they can quickly view their relevant information. Their dashboards consist of charts and tiles that users can configure and position for their needs. These components display relevant performance metrics and have sharing, management zones, and timeframe settings. Users can customize them to visualize statistics and reports on audited entities. In addition, Dynatrace’s dashboards make it easy to connect and collaborate between organizational teams as users can generate different dashboards for specific teams, roles, and individuals.
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data dog vs. Dynatrace: Which DevOps Tool Should You Choose?
The Datadog and Dynatrace vendors each provide powerful solutions for DevOps purposes, making it challenging for users to determine the best DevOps tools for their organization. In order to select the tool that meets your requirements, it is helpful to consider the main differences between the two software options.
For example, Datadog and Dynatrace both have monitoring features that can help maintain proper performance within every aspect of your organization. However, Datadog’s monitoring focuses more on collecting data and detecting anomalies for visualization and collaborative analysis through the interactive dashboard. This can help teams collaborate, gain insights, and make smart decisions.
On the other hand, Dynatrace’s automation features can help users find the root causes of problems and solve them quickly.
The result? If your focus is on facilitating collaboration between your teams, Datadog may be the right fit for you. But for automated root-cause analysis and problem-solving capabilities, Dynatrace may be the better option for your organization.
