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."The most valuable features of BigPanda are the API integration was good. It enables us to do faster onboarding."
"Alert deduplication and correlation - In an environment like the NOC where you're ingesting hundreds and thousands of alerts from various monitoring sources, it's time consuming and difficult to go through individual alerts and also difficult to spot critical issues. It's been great to have BigPanda not only deduplicate alerts but also correlate alerts that are seemingly unrelated, to create a clearer picture."
"The solution is user-friendly and has good performance and certification."
"A user-friendly solution."
"The best of a bad lot was the error message deduping."
"The program is very stable."
"BigPanda integrates well with other solutions, such as WatchGuard,"
"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 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."
"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."
"People are very pleased with the implementation."
"The solution is great for virtualization and preparing the infrastructure in Tanzu to test products. It's very fast and has good visibility."
"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."
"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 could improve by syncing its threshold settings with Dynatrace to align with users' familiarity."
"Lacks sufficient dashboard features."
"The solution could improve by having better integration."
"The cost of this product is too high compared to New Relic."
"We had to use a partner for the deployment."
"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."
"Our infrastructure is quite large - tens of thousands of servers, often with 30-plus checks running on each host with one minute intervals. This generates a lot of data often in bursts (when we have a large scale failure). This has caused some delay in the ingestion pipeline."
"I would like to see integration with Kubernetes cluster and APIs so that you can manage the entire stack."
"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."
"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 initial setup should be easier and more seamless."
"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 implementation is a long process that should be improved."
"The documentation and integration with Kubernetes could be improved."
"The main problem I have is that the license cost is very high."
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BigPanda is ranked 40th in IT Infrastructure Monitoring with 12 reviews while VMware Aria Operations for Applications is ranked 35th in IT Infrastructure Monitoring with 9 reviews. BigPanda is rated 7.2, while VMware Aria Operations for Applications is rated 7.6. The top reviewer of BigPanda writes "Offers comprehensive alert monitoring and a user-friendly interface but requires manual validation to provide accurate alerts". 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, IBM Tivoli NetCool OMNIbus and OpsRamp, whereas VMware Aria Operations for Applications is most compared with Grafana, Dynatrace, Datadog, Zabbix and Azure Monitor. See our BigPanda vs. VMware Aria Operations for Applications report.
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