We performed a comparison between Honeycomb.io and VMware Aria Operations for Applications based on real PeerSpot user reviews.
Find out what your peers are saying about Datadog, Dynatrace, New Relic and others in Application Performance Monitoring (APM) and Observability."The solution's initial setup process was straightforward since we were getting enough support from Honeycomb.io's team."
"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."
"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."
"The solution is great for virtualization and preparing the infrastructure in Tanzu to test products. It's very fast and has good visibility."
"No issues with stability."
"The features I find most valuable is the querying and alerting capabilities."
"This solution allows me to have true visibility for any metrics when it comes to my cloud, and private."
"People are very pleased with the implementation."
"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 process of log scraping gets delayed on Honeycomb.io. At times, it gives false alerts to the application team."
"I would like to see integration with Kubernetes cluster and APIs so that you can manage the entire stack."
"Its billing model is consumption-based. I understand the consumption-based model, but it is not necessarily easy to estimate and guess how many points or how much we are going to consume on a specific application up until we get to that point. So, for us, it would be helpful to have more insights or predictability into what we can expect from a cost perspective if we are starting to use specific features. This can potentially also drive our consumption a bit more."
"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."
"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."
"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 main problem I have is that the license cost is very high."
"The initial setup should be easier and more seamless."
"The implementation is a long process that should be improved."
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Honeycomb.io is ranked 37th in Application Performance Monitoring (APM) and Observability with 1 review while VMware Aria Operations for Applications is ranked 34th in Application Performance Monitoring (APM) and Observability with 9 reviews. Honeycomb.io is rated 8.0, while VMware Aria Operations for Applications is rated 7.6. The top reviewer of Honeycomb.io writes "A valuable solution for application teams to identify downtime and SLO-related issues". 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". Honeycomb.io is most compared with Grafana, Sentry, Chronosphere, New Relic and Azure Monitor, whereas VMware Aria Operations for Applications is most compared with Dynatrace, Grafana, Zabbix, Datadog and AppDynamics.
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