We performed a comparison between BigPanda and PagerDuty Operations Cloud based on real PeerSpot user reviews.
Find out in this report how the two AIOps 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 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 event correlation is really good and it is able to reduce the noise. It is a good tool for anomaly detection."
"The program is very stable."
"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."
"BigPanda integrates well with other solutions, such as WatchGuard,"
"A user-friendly solution."
"The most useful feature has been the AI/ML. The way BigPanda uses the AI/ML is good compared to other SRE tools."
"PagerDuty's notification process is the most valuable feature."
"PagerDuty let us set up rosters based on our shifts. We could assign a hierarchy for how the calls should be escalated and the number of times the call will be transferred between people before it is answered. It makes it easy to access an agent via mobile phone."
"The solution's most valuable features are that it adds each alert as a service, has good scheduling capabilities, and includes the ability to write logic based on texts."
"The initial setup is a simple process."
"The most valuable feature of PagerDuty is its integration with other tools, such as Amazon AWS, to receive notifications or create automatic instances."
"The product has valuable on-call scheduling, escalation, and incident workflow management features."
"The inbound integrations that PagerDuty provides with most of the DevOps tools are valuable."
"The initial setup is straightforward."
"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."
"BigPanda could improve by syncing its threshold settings with Dynatrace to align with users' familiarity."
"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."
"Lacks sufficient dashboard features."
"The usability needs to improve, because it is a pure code environment."
"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."
"The UI for this solution could be improved. It is very hard to find what you are looking for."
"PagerDuty could improve the event orchestration by enhancing features, such as easier condition setup inside the orchestration."
"The user interface could be more intuitive."
"The solution's analytics are okay. I don't think the features, at this point, give you a lot of insights. We have actually been trying to get insights from it but it hasn't really given us a lot of extra points to explore. We were looking at the number of alerts to see where many of the alerts were coming from. We never managed to get many insights on this."
"PagerDuty's webhooks need some improvement."
"The On-Call Teams feature could be better in terms of levels of conditions related to which team or member should get the responsibility of handling a matter or incident."
"I would like to see more content in the notification messages; although, that might be a configuration on our end."
"This solution works best in conjunction with a proper logging system, which can be an additional cost to organizations."
"I am not a direct end user of PagerDuty. It's hard to consider its shortcomings in that sense."
BigPanda is ranked 15th in AIOps with 12 reviews while PagerDuty Operations Cloud is ranked 8th in AIOps with 35 reviews. BigPanda is rated 7.2, while PagerDuty Operations Cloud is rated 8.8. 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 PagerDuty Operations Cloud writes "Effectively generates alerts for incidents, making it suitable for 24/7 monitoring of infrastructure". BigPanda is most compared with ServiceNow, Moogsoft, ServiceNow IT Operations Management, IBM Tivoli NetCool OMNIbus and Splunk Enterprise Security, whereas PagerDuty Operations Cloud is most compared with Opsgenie, ServiceNow, JIRA Service Management, Splunk On-Call and IBM Tivoli NetCool OMNIbus. See our BigPanda vs. PagerDuty Operations Cloud report.
See our list of best AIOps vendors and best IT Alerting and Incident Management vendors.
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