We performed a comparison between PagerDuty Operations Cloud and ScienceLogic 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."It has scaled well for us."
"The alerts are immediate in this solution, which allows us to respond to errors quickly."
"The most valuable features of PagerDuty are customization, access, policies, and different rules regarding the path of escalation. Additionally, it's easy to use and create overrides. For example, if you all are on a call for one week each, but somebody wants to go on PTO, the team needs to swap shifts in PagerDuty. This is easy to do by creating overrides to switch up the set schedules. It's very user-friendly in that aspect. It works well for monitoring and alerting."
"The most valuable feature of PagerDuty is its integration with other tools, such as Amazon AWS, to receive notifications or create automatic instances."
"Alert deduplication and noise reduction for alerts are the major features that I found useful."
"PagerDuty's best features are the dedicated application that allows me to reach my engineers immediately and the ability to directly assign specific tasks to individuals and have them report back."
"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 SMS pages and the mobile application are pretty much the top two features."
"The most valuable features of ScienceLogic are AI and machine learning."
"I'm satisfied with ScienceLogicfor for what they can offer today because they can offer both serverless connectivity and agent connectivity."
"It is very easy to configure because we are using an agent-less version. You can very quickly implement a collector for monitoring device servers."
"Dynamic Component Mapping is key and unique."
"Power packs."
"The power flow is great."
"It has good monitoring capabilities across cloud environments, data centers, and hybrid environments."
"The best feature is the highly flexible graphs."
"It cannot be integrated with our upgraded Jira system."
"This solution works best in conjunction with a proper logging system, which can be an additional cost to organizations."
"They could include incident merging and alert grouping features in the product."
"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."
"There is room for improvement with the time schedule. The way the schedule currently works is you assign all the team members in one schedule and it automatically spreads them around throughout the schedule... It would be better to be able to edit the schedule and place my team members where I want, or at least to have that option in addition to the automatic process."
"The product can be improved by including out-of-the-box integration with other standard tools used in our fields such as Confluence, and Jira."
"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."
"It was challenging onboarding users."
"They should improve database issues in HA and Failover mode, and provide documentation for all users , even if they are not customers."
"I would like to see out-of-the-box standard dashboards for common services."
"ScienceLogic does not have application monitoring. We definitely need something integrated within ScienceLogic to monitor applications so that we don't have to rely on monitoring tools to monitor other applications. At least the ones that are market leaders, such as SAP, Oracle, and others."
"Addressing duplicate IPs: There is the ability to edit the DB and fix this, but adding some logic to understand them would be a plus."
"ScienceLogic could improve the implementation, it could be made easier."
"It doesn't have the complete application-level topology. It could have service topology and business service monitoring. I would like to see how business service monitoring will function with agent-based installation, and how flexible and business-oriented it is for service modeling and service infrastructure. I have a lot of experience in using business service monitoring, service topology, and service hierarchy functionalities in similar products from BMC and Micro Focus (OpenView), and I want to see how these functionalities will look like in ScienceLogic."
"Admins do not have direct access to the reporting."
PagerDuty Operations Cloud is ranked 7th in AIOps with 35 reviews while ScienceLogic is ranked 5th in AIOps with 42 reviews. PagerDuty Operations Cloud is rated 8.8, while ScienceLogic is rated 8.6. The top reviewer of PagerDuty Operations Cloud writes "Effectively generates alerts for incidents, making it suitable for 24/7 monitoring of infrastructure". On the other hand, the top reviewer of ScienceLogic writes "Great integrations, power flow, and good support". PagerDuty Operations Cloud is most compared with Opsgenie, ServiceNow, JIRA Service Management, Splunk On-Call and Everbridge IT Alerting, whereas ScienceLogic is most compared with Dynatrace, LogicMonitor, SolarWinds NPM, Datadog and ServiceNow Discovery. See our PagerDuty Operations Cloud vs. ScienceLogic report.
See our list of best AIOps vendors.
We monitor all AIOps reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.
