We performed a comparison between Datadog and VMware Tanzu Observability by Wavefront based on our users’ reviews in four categories. After reading all of the collected data, you can find our conclusion below.
Features: Datadog is recognized for its advantageous attributes including customizable visualizations, bug identification, user-friendly interface for developers, integration capabilities, log analysis, and troubleshooting abilities. Additionally, it offers high performance and flexibility. VMware Tanzu Observability by Wavefront is commended for its effortless installation, compatibility with various solutions, support for container platforms, swift data processing, enhanced visibility, and exceptional support provided by VMware. Datadog could enhance usability, integration, user interface intuitiveness, external website monitoring, SSL security, and setup complexity. VMware Tanzu Observability by Wavefront could improve its billing model, customization of dashboards, documentation, and initial setup process.
Service and Support: Users have generally praised the customer service of Datadog, noting its availability and promptness. However, there have been occasional cases where support was slow or unresponsive. VMware Tanzu Observability by Wavefront has received mixed feedback. Some users did not require support, while others experienced assistance at varying levels of satisfaction.
Ease of Deployment: Reviewers have found the initial setup for Datadog to be simple and uncomplicated, often receiving help from service providers or technical support. The setup process for VMware Tanzu differs among users, with some finding it effortless and speedy, while others perceive it as more intricate, necessitating technical proficiency and collaboration from multiple teams.
Pricing: Users have different opinions about the setup cost of Datadog, with some finding it pricey and others finding it reasonable. However, the pricing model is unclear and lacks documentation. VMware Tanzu is also deemed expensive, with high licensing expenses for integrations and additional features.
Comparison Results: Datadog is the preferred choice when compared to VMware Tanzu Observability by Wavefront. Users appreciate Datadog's easy setup, user-friendly interface, extensive integrations, and valuable features such as dashboards, error reporting, log centralization, and troubleshooting capabilities. The flexibility, performance, and observability provided by Datadog are also highly praised.
"Sometimes it's more user friendly for development teams. There are some parts of Datadog that are more understandable for development teams. For example, the APM in Datadog works more manually and works like the tools in New Relic or Grafana, or Elastic. It is easier to understand for software development teams."
"The most valuable feature is the dashboards that are provided out of the box, as well as ones we were able to configure."
"The most valuable features have been: Sharable dashboards, TimeBoards, dogstatsd API, Slack Integration, Event logging API. CloudTrail Events, Tags, alerts, and anomaly detection. EBS Volume Snapshot Age, which they added upon request."
"I have found the logging and tracing features the most valuable."
"We integrate our application logs. It is great to be able to tie our metrics and our traces together."
"I like that you can build out a dashboard pretty quickly. There are some things that come out of the box that you don't really need to do, which is great because they're default settings."
"The fact that everything is under a single pane of glass is really valuable, as developers don't have to spend their time copying correlation IDs across tools to find what they need."
"Datadog dashboards are pretty great."
"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."
"The most valuable aspects of the solution are its ease of use and its ease of implementation."
"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."
"No issues with stability."
"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."
"This solution allows me to have true visibility for any metrics when it comes to my cloud, and private."
"The way data is represented can be limiting. When I first tried it out a long time ago, you could graph a metric and another metric, and they'd overlay, but you couldn't take the ratio between the two."
"To be very fair, I haven't had enough experience with Datadog to pick out improvements."
"They could have better log reporting."
"I'm not sure if Datadog can monitor K8s deployments in real-time. For instance, being able to see a deployment step by step visually. This would be helpful if there were any incidents during the deployment."
"The product could do better with its notifications."
"Additional metrics should be included."
"While the tool is robust with many different capabilities, users would greatly benefit from more examples in the documentation."
"Auto instrumentation on tracing has not been very easy to find in the documentation."
"I would like to see integration with Kubernetes cluster and APIs so that you can manage the entire stack."
"The initial setup should be easier and more seamless."
"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."
"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."
"The main problem I have is that the license cost is very high."
"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."
"The documentation and integration with Kubernetes could be improved."
"The implementation is a long process that should be improved."
More VMware Aria Operations for Applications Pricing and Cost Advice →
Datadog is ranked 1st in Cloud Monitoring Software with 137 reviews while VMware Aria Operations for Applications is ranked 28th in Cloud Monitoring Software with 9 reviews. Datadog is rated 8.6, while VMware Aria Operations for Applications is rated 7.6. The top reviewer of Datadog writes "Very good RUM, synthetics, and infrastructure host maps". 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". Datadog is most compared with Dynatrace, Azure Monitor, New Relic, AWS X-Ray and Elastic Observability, whereas VMware Aria Operations for Applications is most compared with Dynatrace, Grafana, Zabbix, AppDynamics and Prometheus. See our Datadog vs. VMware Aria Operations for Applications report.
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