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.
"The solution is useful for monitoring logs."
"The platform appeals to companies spanning many industries on a global scale."
"We like the distributed tracing and flame graphs for debugging. This has been invaluable for us during periods of high traffic or red alert conditions."
"Datadog documentation on web pages has improved a lot and is pretty easy to follow and find."
"The most valuable feature is the dashboards that are provided out of the box, as well as ones we were able to configure."
"Having a clear view, not only of our infrastructure but our apps and services as well, has brought a great added value to our customers."
"It brings in observability, monitoring, and alerting capabilities - all of which we need to operate at scale."
"The solution is sufficiently stable."
"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."
"No issues with stability."
"The most valuable aspects of the solution are its ease of use and its ease of implementation."
"People are very pleased with the implementation."
"The features I find most valuable is the querying and alerting capabilities."
"The solution is great for virtualization and preparing the infrastructure in Tanzu to test products. It's very fast and has good visibility."
"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."
"We primarily use the log management functionality, and the only feedback I have there is better fuzzy text searching in logs (the kind that Kibana has)."
"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."
"Datadog has a lot of documentation, but a lot of that documentation assumes you know how the service works, which can lead to confusion."
"Datadog could have a better business analysis module."
"Some of the interface is still confusing to use."
"The real issue with this product is cost control."
"I'm still exploring the trial version, and it is fine. One thing that I haven't been able to figure out is how to retrieve a report. This is something that could be improved. I probably need to navigate to a place to access the reports."
"Datadog is so feature-rich that it is often hard to onboard new folks and tough to decide where to invest time."
"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."
"The documentation and integration with Kubernetes could be improved."
"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 implementation is a long process that should be improved."
"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."
"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."
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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