We performed a comparison between AppDynamics Database Monitoring and Dynatrace based on real PeerSpot user reviews.
Find out in this report how the two Application Performance Monitoring (APM) and Observability solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."The ability to identify the top running queries has been extremely valuable for us."
"The dashboards are very well-defined."
"Visibility to the end-users is a valuable feature."
"AppDynamics Database Monitoring's dashboarding is its best feature."
"The solution is very, very stable. We haven't faced any bugs or glitches on the system."
"AppDynamics is scalable. They can monitor billions of transactions because they're not monitoring all transactions. They're monitoring samples. So, they can offer good monitoring for the huge sites."
"We were able to correct problems, which led to an increase in availability, time savings, and performance for our solutions."
"AppDynamics is a good tool that offers excellent out-of-the-box dashboards and application topology."
"I think the design is pretty scalable. It's pretty easy to add additional nodes if we need to. Also, it's easy to migrate changes from one environment to another."
"It is limitless when it comes down to being able to scale up or even scale back, if we need it to."
"It collects and analyses information with AI, which is useful."
"The vendor team who did the setup was very good. They sent a very skillful resource for the setup."
"Interrelating the logs and infrastructure issues, application issues, DC RUM, everything in one dashboard, saves us time in troubleshooting."
"My primary use of the tool is to keep revenue coming into the business and to use it to help our business team in running their site analytics and web performance tools. They have things like Adobe Analytics that provide them with one layer of data. We use Dynatrace as another railroad metric to both confirm the Adobe Analytics data and enhance it in certain places where Adobe won't give us the answers that we need. In terms of metrics, we've had roughly about 120,000 unique sessions per hour on our website. So, we're capturing a lot of session data and real user data, and all of that data is kept in user sessions. We can look this information up by user ID to tag any given session that we want to find by date/client. E.g., if the user said that they had an issue last Thursday at 11:00 PM, then we can just do a search on their email address, go through all their sessions, and find the one that they mentioned, then dig directly into that one."
"We are able to fix issues rather quickly, by identifying then fixing them. Therefore, the efficiency of the organization has improved. We are spending less time fixing issues."
"There is a strong user community. There is no need to talk to the technical support, because all the questions which I have had, all the solutions were in the documentation. Or, I have been able to post a question to the user community and get an answer within a day or two."
"The product lost its place as an industry leader."
"This product has an issue with initial lag upon opening that we would like to see improved."
"It could be more user-friendly for beginners."
"The solution must improve security and setup."
"Based on the user experience feedback that we have had, I think that the most important thing to improve is the availability of the SaaS, the cloud environment."
"The application monitoring needs improvement. It needs to be easier for someone who isn't a proficient developer."
"The application end of AppDynamics Database Monitoring needs to improve by checking which applications consume licenses."
"The major concern lies with reports, specifically their configurability. It's like, if I want to combine multiple reports and generate them all at once, that's not possible. Even though there's a setup for generating 25 reports, I wanted to group them all and generate them in one go, which isn't currently feasible. I have to manually run each report and set the time for it."
"They need a capability similar to Tealeaf where you can actually view what the consumer is doing and record the sessions. That is the biggest missing element."
"The configuration of this solution is quite complex."
"For the manage services, they work on CloudWatch logs and are given CloudWatch logs only. I would like more collaboration with AWS and insight into CloudWatch services. This would be valuable, especially when detecting the fault of the root cause analysis. It would make the process go faster."
"I would like a tool that can give me a one page view of all the problems and issues."
"The container platform could include more value-added features."
"More visibility into Python processes."
"Network monitoring is lacking and could be improved."
"It often produces "false alarms" and cannot identify failure patterns over days/weeks that do not indicate concern."
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AppDynamics Database Monitoring is ranked 19th in Application Performance Monitoring (APM) and Observability with 30 reviews while Dynatrace is ranked 2nd in Application Performance Monitoring (APM) and Observability with 341 reviews. AppDynamics Database Monitoring is rated 7.8, while Dynatrace is rated 8.8. The top reviewer of AppDynamics Database Monitoring writes "Good application performance features along with a very simple and tool navigation". On the other hand, the top reviewer of Dynatrace writes "AI identifies all the components of a response-time issue or failure, hugely benefiting our triage efforts". AppDynamics Database Monitoring is most compared with AppDynamics and AWS X-Ray, whereas Dynatrace is most compared with Datadog, New Relic, AppDynamics, Splunk Enterprise Security and Azure Monitor. See our AppDynamics Database Monitoring vs. Dynatrace report.
See our list of best Application Performance Monitoring (APM) and Observability vendors.
We monitor all Application Performance Monitoring (APM) and Observability 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.
