![]() | Barry Pieper Manager, Performance Engineering at Medica Health Plans |
We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
"Dynatrace is an extremely helpful APM solution in large, complex environments, whenever we need to have an integrated vision of our users, infrastructure, and applications."
"Given the full-stack approach, you are able to view from the end user perspective, almost down to the bare metal."
"Dynatrace is capable of following all user actions across all monitored infrastructure, even to systems not monitored, but interconnected."
"The solution is multi-tenant and based in Big data technology."
"Never seen anything so complex be so simple to install."
"When collecting data with Dynatrace, we saw every single transaction that happened in real-time."
"Dynatrace has an auto-baseline and uses AI to monitor the performance of each API. The response time is related to the baseline."
"The most valuable features for us include problem detection, root cause identification, Smartscape, and integration with cloud infrastructure like AWS, Azure, GCP, etc."
"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."
"In the new Dynatrace solution, support for legacy applications is still not there. "
"With Dynatrace in our environment, the managed server required root access to run. As a government agency with tight security, this has been an audit concern for us."
"I would like to see the same features as in the New Relic Insights in the dashboard. That is the only thing I want to see improved in Dynatrace."
"Most of the time, chat support is not good enough for answering queries."
"As the product is evolving quickly and product features are added on a monthly basis, a more transparent roadmap would be more than welcome."
"It needs a dashboard for cluster events in general, and for Kubernetes specifically."
"I would like to have the ability to share live data with selected third parties so that they can see how their product is performing for our company."
"The AI is not that intelligent and there are different places where it could be even more automated."
"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."
"Pricing can be high, especially for Portuguese standards. But as one says, you get what you pay for."
"Setup cost is very low considering that it is an almost totally, automatic process."
"Licensing is very interesting, as you pay only for what is being monitored. A lot of things are given away for no additional cost. If you have a great IT consolidation, it will be pretty cheap. If you have a lot of servers, it will be heavier."
"I have not been able to observe more than 1% overhead, despite Dynatrace saying that it can be slightly higher in some situations."
"Our annual costs were about the same for both AppDynamics and Dynatrace."
"It's more expensive than other solutions, but worth it. We use full APM monitoring on our primary systems, but only resource monitoring on lesser systems. We shift licenses around our environment when a deeper dive into lesser systems is required."
"It's understandable to do a smaller scale initial evaluation. However, as you identify the product value, don't hesitant in your scope and scale to maximize the initial investment and your opportunity to do a bulk investment of the product."
"The solution has saved us money through the consolidation of tools. With a hybrid landscape, we had multiple tools. When we consolidated, we removed four or five other monitoring tools with one. For the last ROI calculation that I did, Dynatrace was saving us up to $500,000 per year."
"Its price could be lower, but for what you pay, you got a lot of value from its features and functionalities. Customers always want a discount or a cheaper solution."
Earn 20 points
Dynatrace has redefined how you monitor today’s digital ecosystems. AI-powered, full stack and completely automated, it’s the only solution that provides answers, not just data, based on deep insight into every user, every transaction, across every application. More than 8,000 customers use Dynatrace to optimize customer experiences, innovate faster and modernize IT operations with absolute confidence.
ScienceLogic is the global leader in hybrid IT monitoring for the network of everything. Over 25,000 global service providers, enterprises, and government organizations rely on ScienceLogic to significantly enhance IT efficiency, optimize operations, and ensure business continuity. ScienceLogic is the first monitoring solution to provide a comprehensive view of all IT components through a single pane of glass, whether they reside in a public cloud environment or on-premises. With over 1,500 dynamic management apps and custom dashboarding capabilities, we deliver the scale, resiliency, and automation needed to simplify the constantly evolving task of managing IT resources, services, and applications.
Dynatrace is ranked 1st in Application Performance Management (APM) with 57 reviews while ScienceLogic is ranked 18th in IT Infrastructure Monitoring with 1 review. Dynatrace is rated 9.0, while ScienceLogic is rated 10.0. 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 "It is stable and very easy to configure". Dynatrace is most compared with Datadog, Splunk, AppDynamics, New Relic APM and Azure Monitor, whereas ScienceLogic is most compared with LogicMonitor, Splunk, SolarWinds NPM, IBM Tivoli NetCool OMNIbus and Datadog.
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We monitor all Application Performance Management (APM) 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.