Updated April 13, 2023
Difference Between AppDynamics vs Dynatrace
Application Performance Monitoring is a trending topic globally, and it compensates for all the dependencies on software applications. When people discuss about an application, the topic will be focused mainly on performance. So the developed software tool to manage the applications should satisfy the performance of the running applications, services, servers, and websites in the business environment, and it needs to monitor all the implemented applications and notify the user in case of any issues. So in this article, two major tools AppDynamics and Dynatrace, which used for application performance monitoring, are discussed, and their major comparison points are listed.
Head to Head Comparison between AppDynamics vs Dynatrace (Infographics)
Below are the top 7 comparisons between AppDynamics vs Dynatrace:
Key differences between AppDynamics vs Dynatrace
Let us discuss some key differences such as features, price, dashboards, monitoring, the usability of AppDynamics vs Dynatrace is discussed here:
1. Analytics
New Dynatrace, which is implemented as of version 6.3, acquires Pure Lytic features. The optimized stream is set to transfer the information in real-time cases into ElasticSearch for analytic purposes, which involves the user’s action, their visits, built with the Kibana dashboard on the exterior part. Whereas AppDynamics launched a tool known as Log Analytics. It involves log files and index, and its similar to ELK and Splunk. It gathers all the organized, unstructured, structured data which display all the application issues and notify all the errors in real-time. It can explore the occurring error and develop a customized column for dashboards and repeated alerts to analyze application and errors.
2. User-friendly Dashboard
In Dynatrace, the enterprise offers two dashboards with a web-dashboard and a local desktop client, a difficult version of Wintel 2000. The web dashboard views the advanced level data, which involves users’ experience and their satisfactory level in the app channels of mobile and web. It lists the entire process of running jobs. If the user captures an error or issues, it analyses the affected process to gather more data, and the user should edit it into a desktop dashboard. Whereas AppDynamics is not based on Flash dashboard. But it is not the main requirement for a few enterprises as some components in the dashboard needs fine-tuning. The entire details are based on the web dashboard and provide an overview to pull into the user’s required data. So according to the requirement, the two dashboards in Dynatrace now became outdated, and the requirement to switch between two dashboards is a hassle for a few to gather data in different circumstances, and the unified user interface is provided by AppDynamics, which has all the essential component of the flash dashboard.
3. Integration and Plug-ins of the Ecosystem
The categories displayed in the Dynatrace plugin page include SharePoint, docker, ecosystem, Splunk, Apache Cassandra, Big Data tools, Notification systems like PagerDuty, and JIRA. But the design is shortlisted, and the library becomes a familiar and fundamental tool. The open-platform is offered by AppDynamics for developers and enables them to add suitable plugins and extensions into the global market place, which comprises a total of 140 plugins. It helps the user share requests for the plugin even if they find it difficult to do. But now society will prefer the plugin based on the community, which keeps on updating.
4. Monitoring of Component and Services
The tools on AppDynamics and Dynatrace offer metrics and stack traces which becomes a strong competency. The variations of some other traditional vendors like HP, CA, IBM, and Microsoft marked as reliable ones in application performance management. But both tools have identical code for finding the standard platform on .NET and Java. And it is more helpful if the user checks the tool in advance on their running jobs and services scripted in programming languages like Node.js, Python, PHP, and metrics, or data on stack trace may get varied.
5. Profile on the User-Defined Transaction
The Dynatrace stores all the requests of the user with restricted traces called PurePaths. It is used to visualize the status of each request. The profiling in the transaction is a major strength for Dynatrace, and it is the first enterprise to track the transaction in the run-time fields such as CLR architectures and hybrid JVM. It also offers different drill-down options from a provided PurePath to cut down and organize the data in various perceptions. Whereas AppDynamics displays the transaction anomalies in business with entire traces of stacks. It is more intuitive without any often drill-down policies. The requirement of the user has bubbled automatically for a better view.
Comparison Table of AppDynamics vs Dynatrace
The table below summarizes the comparisons between AppDynamics vs Dynatrace:
| Attributes | AppDynamics | Dynatrace |
| User interface | It is based on Flash and provides on-premise and SaaS support. | The user interface is a bit complex and provides on-premise and SaaS support. |
| Tracing of transactions | It gives better performance on transaction tracing. | It provides a status for every process in the transaction and is best in the tracing process. |
| Correlation of Data | The correlation of data is not as reliable as Dynatrace. | It has a very good process in data correlation. |
| Support | They provide extensive end to end support. | The support is not as effective as AppDynamics. |
| Agent | It has several agents and also can be customized manually. | It has single agents and end to end automation. |
| Visibility of Network | It is based on metrics of the aggregated host only. | It gives complete and clear visibility from every process to process. |
| Root Cause Analysis | It can be based on charts and metrics of correlation. | The RCA is based on causation and the power of artificial intelligence. |
Conclusion
Dynatrace and AppDynamics have extensive and advanced features that give the user tough competition. The Dynatrace built the agents to find the restricted stacks for each execution on the transaction, whereas AppDynamics is selected for a diagnostic technique which means that complete stacks are only found to check the threshold level to analyze the performance values. Every technique has cons and pros, which depends on the monitoring requirements and cases. The external vendor is successful in the business transaction on different methods. Both applications track the response time situated across various environments.
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