We performed a comparison between Dynatrace 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."Capability to troubleshoot isolated customer complaints with the user session feature."
"I like the auto email alerting feature the most, as it is set up based on the application error or condition."
"Some of the main benefits are being able to quickly identify when transactions start to slow or run into issues, or hiccups if you will."
"Email alert and mobile app alert are very useful for informing the team that something is going wrong."
"Finds issues that previously occupied people for months."
"We're able to tell them which calls, which methods, which interface were the problem."
"The Dynatrace support team that we have is great and the staff that we have had onsite has been consistently good."
"Quick availability of multiple aspects of performance from infrastructure to application layers."
"I'm satisfied with ScienceLogicfor for what they can offer today because they can offer both serverless connectivity and agent connectivity."
"Best feature of all is detailed monitoring of services, processes, ports and SSL certificates and or web content."
"ScienceLogic allows us to create and customize a user-friendly dashboard."
"Science Logic provides distributed and all-in-one concept in monitoring, you can easily customize the features in this product."
"The best feature is the highly flexible graphs."
"The solution provides good infra-monitoring features."
"The tool is quite easy to deploy, and it offers very good support."
"It has good monitoring capabilities across cloud environments, data centers, and hybrid environments."
"I would like to see dashboards included, and maybe more possibilities in terms of customization."
"It needs more dashboards like AppMon."
"I would like to see income monitoring for the servers and infrastructure monitoring."
"The solution could improve on integration, cloud services, and making the configuration less difficult."
"It still has a long way to go to reach that single pane of glass."
"Another area for improvement is that I would like the alerting to be set up a little bit more easily. Currently, it takes a lot of work to add alerting, especially if you have a large environment, and I consider our environment to be quite large. The alerting takes a lot of administration."
"Graphically, it is not good."
"Two things that can be improved are the licensing and the Business dashboard."
"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."
"ScienceLogic could improve the implementation, it could be made easier."
"The product's reporting functionalities have certain shortcomings, making it an area where improvements are required."
"The product must educate its strategic partners for deployment."
"The product is not user-friendly."
"One important area we feel could be improved is the UI. It takes a lot of clicks to do very simple tasks."
"It was challenging onboarding users."
"They need a little more self-service."
Dynatrace is ranked 2nd in AIOps with 342 reviews while ScienceLogic is ranked 5th in AIOps with 42 reviews. Dynatrace is rated 8.8, while ScienceLogic is rated 8.6. The top reviewer of Dynatrace writes "AI identifies all the components of a response-time issue or failure, hugely benefiting our triage efforts". On the other hand, the top reviewer of ScienceLogic writes "Great integrations, power flow, and good support". Dynatrace is most compared with Datadog, New Relic, AppDynamics, Splunk Enterprise Security and AWS X-Ray, whereas ScienceLogic is most compared with LogicMonitor, SolarWinds NPM, Datadog, Zabbix and ServiceNow Discovery. See our Dynatrace 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.