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.
"It is easy to navigate the menu and create tests."
"It has empowered all our platform engineers with a very powerful and easy to use monitoring system."
"The solution's SaaS model is easy to manage and works well in single- or multi-cloud environments."
"The platform appeals to companies spanning many industries on a global scale."
"It has turned into an operational dashboard. If you felt something is going wrong, you can immediately open up Datadog. It has been our go to application because we know the answer will be there."
"It is easy to implement and scale applications with standardized visibility, monitoring and alerting"
"With Datadog I can look at the health of the technology stack and services."
"It is a good one stop location where we keep all our data for our infrastructure, and it's also easier to navigate between different things."
"People are very pleased with the implementation."
"The solution is great for virtualization and preparing the infrastructure in Tanzu to test products. It's very fast and has good visibility."
"The most valuable aspects of the solution are its ease of use and its ease of implementation."
"No issues with stability."
"This solution allows me to have true visibility for any metrics when it comes to my cloud, and private."
"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 features I find most valuable is the querying and alerting capabilities."
"The product could do better with its notifications."
"Managing dashboards as IaC is a bit hard to work out at times."
"I would love to see support for front-end and mobile applications. Right now, it is mostly all back-end stuff. Being able to do some integration with our front-end products would be awesome."
"Federated views for Datadog dashboards are critical as large companies utilize multiple instances of the product and cannot link the metrics or correlate the metrics together. This stunts the usage of Datadog."
"Stability of the product has been a concern for us outside of the primary monitoring agents."
"I find the training great. That said, it is set for the LCD (lowest common denominator). Of course, this is very helpful to sell the product, yet, to really utilize the product, you need to get more detailed."
"Sometimes it’s difficult to customize certain queries to find specific things, specifically with the logging solution."
"Lately, chat support has a longer waiting time."
"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 implementation is a long process that should be improved."
"The documentation and integration with Kubernetes could be improved."
"The main problem I have is that the license cost is very high."
"I would like to see integration with Kubernetes cluster and APIs so that you can manage the entire stack."
"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 initial setup should be easier and more seamless."
More VMware Aria Operations for Applications Pricing and Cost Advice →
Datadog is ranked 1st in Application Performance Monitoring (APM) and Observability with 137 reviews while VMware Aria Operations for Applications is ranked 32nd in Application Performance Monitoring (APM) and Observability 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 AppDynamics, whereas VMware Aria Operations for Applications is most compared with Grafana, Dynatrace, Zabbix, Prometheus and AppDynamics. See our Datadog vs. VMware Aria Operations for Applications report.
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