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."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 program is very stable."
"The solution is user-friendly and has good performance and certification."
"The event correlation is really good and it is able to reduce the noise. It is a good tool for anomaly detection."
"The best of a bad lot was the error message deduping."
"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 main thing that we like about BigPanda is the user interface."
"The most valuable features of BigPanda are the API integration was good. It enables us to do faster onboarding."
"It has scaled well for us."
"Notification is the most valuable feature."
"The SMS pages and the mobile application are pretty much the top two features."
"The most valuable feature is definitely the flexibility of the schedule. The mobile app is quite also good for what we do: for receiving alerts, acknowledging, assigning, adding new responders. It has rich features for our needs."
"The alerts are immediate in this solution, which allows us to respond to errors quickly."
"A cool feature is that it helps us to understand the flow of the alert. If the alert was coming to the current on-call and he didn't catch the call or didn't notice it for any reason, it starts being escalated automatically, according to the escalation schedule, or to other teammates. You can see the flow very easily on your phone or via the website, if you want to do a post-mortem."
"It reduces the amount of white noise. If something comes through, then it will alert somebody. However, if it's a bit of white noise that comes through at night, then it gets dealt with the next day. Everything is visible to everybody. It's not just a single person getting an SMS, then going, "Oh, I'm not going to worry about that." The visibility to everybody on the team is one of the great things about it because it reduces the white noise."
"The initial setup is straightforward."
"We had to use a partner for the deployment."
"The UI for this solution could be improved. It is very hard to find what you are looking for."
"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."
"Lacks sufficient dashboard features."
"The cost of this product is too high compared to New Relic."
"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 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 should be integrated with other tools, so it can import the IT roster automatically. Our other rules continue to work once they're configured, but the roster must be added manually."
"They could include incident merging and alert grouping features in the product."
"It is a very non-customizable product, so you cannot add things like root cause analysis or the classification of incidents based on the area where you are getting more incidents. For example, if you're getting a lot of database issues, that may be an are you want to probe."
"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."
"The solution does not code all alerts correctly so sometimes you get false positives or multiple alerts for the same issue."
"It’s quite hard to reach the support team."
"I am not a direct end user of PagerDuty. It's hard to consider its shortcomings in that sense."
BigPanda is ranked 13th in AIOps with 11 reviews while PagerDuty Operations Cloud is ranked 8th in AIOps with 35 reviews. BigPanda is rated 7.4, while PagerDuty Operations Cloud is rated 8.8. 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 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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