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.
"This spectrum of solutions has allowed us to track down bugs faster and more rapidly, which allows us to limit revenue lost during downtime."
"Integrating Datadog with other platforms has made our monitoring processes a bit easier. It's not super simple, but it's manageable."
"The network map is crucial in identifying bottlenecks and determining what needs more attention."
"Datadog dashboards are pretty great."
"Datadog has so far been a breeze to use and set up."
"The biggest thing I liked was the combination of all the things - monitoring, log aggregation, and profiling."
"We have way more observability than what we had before - on the application and the overall system."
"The many dozens of integrations that the solution brings out of the box are excellent."
"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."
"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."
"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."
"No issues with stability."
"People are very pleased with the implementation."
"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."
"I would like better navigability across pages."
"They should continue expanding and integrating with more third-party apps."
"We have recently had a number of issues with stability and delays on logging, monitoring, metric evaluation, and alerts."
"At times, it can be hard to generate metrics out of logs."
"It could probably be a little bit of a better user experience."
"The ability to find what you are looking for when starting out could be improved."
"We have contact with many customers that cover many areas, so we have cases where the infrastructure administration could be improved."
"Lacks some flexibility in the customization."
"The main problem I have is that the license cost is very high."
"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."
"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."
"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 documentation and integration with Kubernetes could be improved."
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 34th 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 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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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.