We performed a comparison between AppDynamics and VMware Tanzu Observability by Wavefront based on real PeerSpot user reviews in five categories. After reading all of the collected data, you can find our conclusion below.
Comparison Results: VMware Tanzu Observability by Wavefront is the favored option over AppDynamics due to its seamless integration with various solutions, support for Kubernetes and open-source technologies, and speedy and stable performance. Users appreciate its ease of deployment and support.
"We are able to correlate performance between tiers."
"The features that I like best are the dashboard and Business Journey."
"AppDynamics is scalable."
"The initial setup is simple."
"We can make custom alerts in our system for specific issues like high CPU utilization or application downtime."
"AppDynamics is easy to implement if you follow the documentation, and the documentation that they provide is good."
"Has helped us to increase customer acquisitions and reduce revenue leakage."
"AppDynamics' best feature is automation - for example, when I add a note, it can understand the data automatically."
"The solution is great for virtualization and preparing the infrastructure in Tanzu to test products. It's very fast and has good visibility."
"People are very pleased with the implementation."
"VMware comes with a support team, and if you have trouble, you can easily create a ticket, and VMware will help you. Therefore, the best aspect is the support."
"The features I find most valuable is the querying and alerting capabilities."
"Tanzu itself, integrated with multiple solutions, bestows support and security upon a container platform, especially when it comes to managing open-source container platforms such as Kubernetes."
"For us, the ease of deployment in combination with TMZ was the most important part because we don't have to manually deploy a complex monitoring solution. We can more or less do that with the click of a button, and we are not dependent on the developers to provide us with all the necessary features and functions to make that work. We can just deploy it on a workload cluster and monitor at least a good part of the workload. If we want to go into detail, we clearly need to make changes, but for a good part of application monitoring, it gives us good insights."
"The most valuable aspects of the solution are its ease of use and its ease of implementation."
"This solution allows me to have true visibility for any metrics when it comes to my cloud, and private."
"I would like to see more of a unified platform. They're very, very new on the server side, machine agents. I want them to be more mature in this area."
"AppDynamics scaled well up to around 3,000 agents. The performance deteriorated after that, while Dynatrace could support more than 10,000 agents. We were surprised that AppDynamics' scalability is not so good."
"Their support should be improved. Clusters and monitoring can also be improved."
"They need to improve the consolidation of agents for the agent's installation process."
"The integration with cloud services is still pending with AppDynamics. We would like the product to be serverless."
"The worst part is that the AppDynamics SaaS Environment has a lot of downtimes, and AppDynamics, despite our efforts, does not give us any feedback on these downtimes/incidents."
"AppDynamics could benefit from greater integration with emerging technologies such as artificial intelligence and machine learning."
"The solution could be more user-friendly for diagnostic purposes. Anyone who is using the solution should be able to infer what that error is about, they should be able to troubleshoot it better."
"In the new version, I would love to see more prediction capabilities. It would be great if one could see the alerts get a little more enriched with information and become more human-friendly instead of the technical stuff that they put in there. I think those would be really awesome outcomes to get."
"The implementation is a long process that should be improved."
"The initial setup should be easier and more seamless."
"It could use a URL document server. Everything in the market is moving towards automation and everybody's looking for the single click operations as well relational data locality."
"They could make it more easy to plug-in data so that a nontechnical person will be able to use it, like accountants or finance people. That way they don't have to ask us."
"I would like to see integration with Kubernetes cluster and APIs so that you can manage the entire stack."
"The main problem I have is that the license cost is very high."
"The documentation and integration with Kubernetes could be improved."
More VMware Aria Operations for Applications Pricing and Cost Advice →
AppDynamics is ranked 5th in Application Performance Monitoring (APM) and Observability with 155 reviews while VMware Aria Operations for Applications is ranked 34th in Application Performance Monitoring (APM) and Observability with 9 reviews. AppDynamics is rated 8.2, while VMware Aria Operations for Applications is rated 7.6. The top reviewer of AppDynamics writes "Very good real-time monitoring capabilities, deep problem diagnosis, and transaction mapping". On the other hand, the top reviewer of VMware Aria Operations for Applications writes "Easy to deploy, worth the money, and helpful for uptime monitoring and performance insights". AppDynamics is most compared with Dynatrace, Elastic Observability, Datadog, Splunk Enterprise Security and New Relic, whereas VMware Aria Operations for Applications is most compared with Grafana, Dynatrace, Zabbix, Datadog and ServiceNow IT Operations Management. See our AppDynamics vs. VMware Aria Operations for Applications report.
See our list of best Application Performance Monitoring (APM) and Observability vendors and best Container Monitoring vendors.
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.
