We performed a comparison between BigPanda and VMware Aria Operations for Applications based on real PeerSpot user reviews.
Find out in this report how the two IT Infrastructure Monitoring solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."BigPanda integrates well with other solutions, such as WatchGuard,"
"The main thing that we like about BigPanda is the user interface."
"We have also made extensive use of the outbound integrations to ticketing systems (JIRA) and collaboration tools (Slack). The main driver for us has been getting all alerting into a single UI and enabling us to streamline our incident management process."
"The solution is user-friendly and has good performance and certification."
"The most valuable features of BigPanda are the API integration was good. It enables us to do faster onboarding."
"The best of a bad lot was the error message deduping."
"Alert aggregation was the primary requirement. BigPanda pulls all this together into a single UI for us, allowing us to see related alerts grouped together into an incident, and enables us to easily create a JIRA ticket and Slack channel to manage an issue."
"The most useful feature has been the AI/ML. The way BigPanda uses the AI/ML is good compared to other SRE tools."
"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."
"This solution allows me to have true visibility for any metrics when it comes to my cloud, and private."
"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."
"People are very pleased with the implementation."
"The features I find most valuable is the querying and alerting capabilities."
"No issues with stability."
"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."
"The solution could improve by having better integration."
"Lacks sufficient dashboard features."
"We had to use a partner for the deployment."
"Analytics is an area for improvement, being able to break down the actions that are being taken by users of BigPanda, as well as the auto-magical work that is being done by BigPanda."
"BigPanda can improve the correlations. We didn't see any big value. It is still good at the same event deduplication, event processing, and ticket creation, but I was more looking at event analysis and event correlation. In that area, it is still no big difference between the other solutions on the market. All of them, are in the same immature stage."
"The UI for this solution could be improved. It is very hard to find what you are looking for."
"The usability needs to improve, because it is a pure code environment."
"The observability can be enriched with regards to infrastructure and the application-integrated environment. The dashboard and reports could be improved."
"The main problem I have is that the license cost is very high."
"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."
"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."
"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."
"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 documentation and integration with Kubernetes could be improved."
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BigPanda is ranked 39th in IT Infrastructure Monitoring with 11 reviews while VMware Aria Operations for Applications is ranked 34th in IT Infrastructure Monitoring with 9 reviews. BigPanda is rated 7.4, while VMware Aria Operations for Applications is rated 7.6. The top reviewer of BigPanda writes "Enables faster on-boarding, beneficial API integration, but correlations could improve". 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". BigPanda is most compared with ServiceNow, Moogsoft, PagerDuty Operations Cloud and ServiceNow IT Operations Management, whereas VMware Aria Operations for Applications is most compared with Dynatrace, Grafana, Datadog, Zabbix and Prometheus. See our BigPanda vs. VMware Aria Operations for Applications report.
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