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.
"Datadog agents act as an integration to different services, providing easy access and management."
"Datadog has so far been a breeze to use and set up."
"APM and tracing are super useful."
"We find they have a very helpful alert system."
"Profiling has been made easier."
"Integrating Datadog with other platforms has made our monitoring processes a bit easier. It's not super simple, but it's manageable."
"The most valuable feature I have found is the elastic container service."
"The solution has helped our organization with custom events to track specific cases."
"The most valuable aspects of the solution are its ease of use and its ease of 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."
"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."
"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."
"This solution allows me to have true visibility for any metrics when it comes to my cloud, and private."
"No issues with stability."
"They should continue expanding and integrating with more third-party apps."
"I would like better navigability across pages."
"I sometimes log in and see items changed, either in the UI or a feature enabled. To see it for the first time without proper communication can sometimes come as a shock."
"Alerting timing should be improved to be more fine-tuned and exact."
"When it comes to storing the logs with Datadog, I'm not sure why it costs so much to store gigabytes or terabytes of information when it's a fraction of the cost to do so myself."
"There is always room for improvement when dealing with cloud-based technologies. Mainly, I would say, it's just increasing our offerings to attract various other types of industries and businesses across more fields."
"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."
"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."
"The main problem I have is that the license cost is very high."
"The documentation and integration with Kubernetes could 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."
"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."
"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."
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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