We performed a comparison between BigPanda 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."The program is very stable."
"A user-friendly solution."
"The event correlation is really good and it is able to reduce the noise. It is a good tool for anomaly detection."
"The solution is user-friendly and has good performance and certification."
"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."
"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."
"One of the most valuable features of BigPanda is its user-friendly interface."
"Power packs."
"ScienceLogic allows us to create and customize a user-friendly dashboard."
"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."
"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."
"Best feature of all is detailed monitoring of services, processes, ports and SSL certificates and or web content."
"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."
"The observability can be enriched with regards to infrastructure and the application-integrated environment. The dashboard and reports could be improved."
"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."
"Lacks sufficient dashboard features."
"The solution could improve by having better integration."
"The cost of this product is too high compared to New Relic."
"BigPanda attempts a little of everything and fails at most."
"The UI for this solution could be improved. It is very hard to find what you are looking for."
"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."
"ScienceLogic could improve the implementation, it could be made easier."
"The product must educate its strategic partners for deployment."
"Admins do not have direct access to the reporting."
"The product is not user-friendly."
"I would like to see out-of-the-box standard dashboards for common services."
"It was challenging onboarding users."
"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."
BigPanda is ranked 13th in AIOps with 12 reviews while ScienceLogic is ranked 5th in AIOps with 42 reviews. BigPanda is rated 7.2, while ScienceLogic is rated 8.6. 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 ScienceLogic writes "Great integrations, power flow, and good support". BigPanda is most compared with ServiceNow, Moogsoft, PagerDuty Operations Cloud, IBM Tivoli NetCool OMNIbus and ITRS Geneos, whereas ScienceLogic is most compared with Dynatrace, LogicMonitor, SolarWinds NPM, Datadog and ServiceNow Discovery. See our BigPanda vs. ScienceLogic report.
See our list of best AIOps vendors and best IT Infrastructure Monitoring vendors.
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