We performed a comparison between BigPanda and Zenoss Cloud 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 program is very stable."
"The solution is user-friendly and has good performance and certification."
"One of the most valuable features of BigPanda is its user-friendly interface."
"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."
"Easy integration - We've had challenges in the past integrating all of our various monitoring sources and tools into one central system. BigPanda, with the integrations that it already has, as well as offering webhook/REST API, has made it very easy for us to plug everything in."
"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."
"A user-friendly solution."
"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."
"They have also accommodated many state-of-the-art technologies like Docker and ZooKeeper."
"The product offers good documentation that helps with initial training."
"What I like most about Zenoss Service Dynamics is that it monitors the devices and gives close to real-time alerts. For example, in case the device is not available, Zenoss Service Dynamics generates an alert so my team can resolve the issue."
"The most valuable feature is the flexible discovery mechanism."
"It's easy to use."
"The custom built integration is one of the most valuable features because you can see all the especially critical items."
"Its Docker Container concept is mind blowing. It is the first monitoring tool which comes with Docker features."
"The UI for this solution could be improved. It is very hard to find what you are looking for."
"The solution could improve by having better integration."
"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."
"BigPanda could improve by syncing its threshold settings with Dynatrace to align with users' familiarity."
"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."
"BigPanda attempts a little of everything and fails at most."
"As Zenoss Service Dynamics is more for network-centric devices and you want to monitor, for example, a server, its services, IP addresses, and interfaces, if it's a network and you're going to monitor multiple items, you'll be charged multiple times. This is what Zenoss Service Dynamics needs to improve to make sure that customers pay just one fee to monitor the entire server. What I'd like to see in Zenoss Service Dynamics in the future is a public cloud monitoring feature, particularly for the Azure public cloud. Another additional feature I'd like to see in the next release of the solution is integration with the Azure public cloud because I know that there are some services from Azure that Zenoss Service Dynamics is currently unable to monitor."
"Now it is stable, but they should design threshold parameters in percentage instead of raw values."
"The inclusion of a feature to show a graphical view of the network would be a helpful improvement."
"There is room for improvement with the administrative part. They introduced Control Center to manage things in Zenoss 5. The services that Zenoss provides remained the same, but the administrative part, since they introduced Docker, etc., has become a little complex"
"The AI aspect needs to improve."
"It would be ideal if the product offered sound alerts."
"There was a problem with Zenoss and storage monitoring."
BigPanda is ranked 43rd in IT Infrastructure Monitoring with 12 reviews while Zenoss Cloud is ranked 47th in IT Infrastructure Monitoring with 8 reviews. BigPanda is rated 7.2, while Zenoss Cloud is rated 8.4. 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 Zenoss Cloud writes "Generates close to real-time alerts so users can resolve issues, but needs more integration and public cloud monitoring features". BigPanda is most compared with ServiceNow, Moogsoft, PagerDuty Operations Cloud, ServiceNow IT Operations Management and IBM Tivoli NetCool OMNIbus, whereas Zenoss Cloud is most compared with Zabbix, Nagios XI, ServiceNow IT Operations Management, ScienceLogic and IBM Tivoli NetCool OMNIbus. See our BigPanda vs. Zenoss Cloud report.
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