We performed a comparison between Grafana and VMware Tanzu Observability by Wavefront based on real PeerSpot user reviews in five categories. After reading all of the collected data, you can find our conclusion below.
Comparison Results: Grafana offers a more customizable and visually appealing experience with good integration and an open source nature, at a more moderate pricing model with a helpful community, making it the preferred solution. While VMware Tanzu Observability is praised for ease of deployment and integration with multiple solutions, it has concerns with its consumption-based billing model, high license costs, and difficulty in customizing dashboards.
"The best thing about Grafana is the visualization. The colors and the ease of use make it very user-friendly."
"It is easy to change and move virtual servers."
"What I found most valuable in Grafana is that it has a lot of integrations and features that I need for data processing and visualization."
"The solution can scale well."
"Compatibility with Prometheus databases and the Spring Boot application make it the first choice when moving toward an SRE model."
"Grafana's built-in integration with third-party tools, databases, and MQs is an amazing feature."
"The best feature was the creation of graphs and trends."
"The most important feature of Grafana is its alarm formatting capability."
"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 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."
"This solution allows me to have true visibility for any metrics when it comes to my cloud, and private."
"The features I find most valuable is the querying and alerting capabilities."
"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."
"The security needs to be improved, such as the capacity to add permissions on dashboards."
"It would be helpful if Grafana provided more information and training on how to use Prometheus."
"Lacks event management which affects our DevOps people."
"One area for improvement in Grafana is that depending on your version, you have to pay for the features, making the license expensive. It would be great if the licensing model could be more flexible. In the next release of Grafana, I want cluster creation to be available, which would help in Grafana deployment and scaling. Currently, the scaling process for the solution is a bit complicated."
"The formatting could be better."
"They should improve the functioning of its editing tool."
"The solution has room for improvement with a better API to help automate the construction of the dashboards easier."
"I had issues with the solution's configuration part."
"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."
"I would like to see integration with Kubernetes cluster and APIs so that you can manage the entire stack."
"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 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."
"The documentation and integration with Kubernetes could be improved."
"The implementation is a long process that should 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."
More VMware Aria Operations for Applications Pricing and Cost Advice →
Grafana is ranked 6th in Application Performance Monitoring (APM) and Observability with 38 reviews while VMware Aria Operations for Applications is ranked 34th in Application Performance Monitoring (APM) and Observability with 9 reviews. Grafana is rated 8.0, while VMware Aria Operations for Applications is rated 7.6. The top reviewer of Grafana writes "Agent-free with great dashboards and an active community". 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". Grafana is most compared with New Relic, Azure Monitor, Sentry, Dynatrace and Google Cloud's operations suite (formerly Stackdriver), whereas VMware Aria Operations for Applications is most compared with Dynatrace, Zabbix, Datadog, AppDynamics and Prometheus. See our Grafana vs. VMware Aria Operations for Applications report.
See our list of best Application Performance Monitoring (APM) and Observability vendors.
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.