Dynatrace is an APM scaled for enterprises with cloud, on-premise, and hybrid application and SaaS monitoring. Dynatrace uses AI-supported algorithms to provide continual APM self-learning and predictive alerts for proactive issue resolution.
$0
per synthetic request
Oracle Observability and Management
Score 6.3 out of 10
N/A
Oracle's Observability and Management solution provides visibility and machine learning-driven actionable insights to ease management across all layers of the stack deployed on any technology. To drive scale and predictable results, Oracle’s integrated functionality and automation for DevOps monitoring and IT operations management aims to make it 50% easier to prevent and solve IT problems.
Dynatrace is well suited to a number of tasks. It is important to determine who the end users are and gather good information to tailor their experience accordingly. For instance, business/marketing should not have access to some of the more technical data, and business metrics can be a distraction for IT operations personnel.
Ideal for a complex organization with requirements to build very complex reports. Especially useful for organizations that already have numerous Oracle products and need to pull information from them. This tool works best when plugged in with other Oracle tools and databases. If you're a larger company, and/or if you're managing a lot of data, Oracle IT Analytics Cloud Service is the perfect tool to manage your Oracle deployment. It provides a number of different options for intelligent analysis while not being too overwhelming to manage. Companies that want a robust tool to manage all data and present it in a visually appealing way to users will greatly benefit from this tool. The tool is very customizable and can be tailored to meet the needs of different users.
We loved Dynatrace's ability to show the data flow - from the front end points through the back end points straight to the database and various API's. It was advanced in its data visualization. This is useful for debugging - showing when/where the errors are. It can even enable non-technical individuals in the corporation to help debug
Dynatrace has some great highly customizable integration options as well as monitoring. You can configure your layout & integration options to create custom monitoring alerts for your applications performance. Further you can increase the extensibility of using a REST API on your architecture.
Some advanced dev-ops systems are utilizing Kubernetes/docker aswell as Node.JS - Dynatrace was able to log and help understand all of our dev-ops needs. It gave us native alerts based off of deviations from the baseline that we set during initial configuration. These metrics are priceless.
Dynatrace does not monitor easily on a C-based application.
The way DPGR is addressed by Dynatrace is not very complete, and not clear. One thing is to mask the IP and request attributes but is not enough, the replay session feature is great but raises serious questions about user tracking.
There's a pretty steep learning curve that needs to be overcome in order to properly deploy this tool. So, unless you're a seasoned IT administrator, you may have a fair amount of homework to do. Implementation and maintenance of this takes a bucket of consulting hours from outside consultants to come in and set up the tool and regularly maintain it, in the long run, this could be costly.
The dashboard is not as easy to set up as I would like, however, after setup it will serve your purpose in the best possible way. You may not be able to find out how some data related to another and you can create a report that you think has all the details you need, but it comes up blank because the data really is not connected.
There aren't enough self-learning materials available like tutorials and how-to videos. I would like to have access to more e-tutorials from inside the tool. A steep learning curve for most. It would be nice to have a robust learning portal within the application where users can access self-learning material directly from the application and step to spet guides on how to perform different tasks.
Does not provide the ease of adding additional data sources without lots of complications. Even though it can handle large data sets, rendering of reports can take a fairly long time if the parameter set is large. For some time it seems like processing takes a bit of time when large data sets are being used. This is not the case with other competing tools.
We have already renewed our purchase with the company. They make it easy for us to get a temporary license for our contingency site that is only used for testing twice a year. We are expanding our license with for this tool. We find it very useful and will renew it again.
Dynatrace is great to use once you understand how to use it correctly and get used to the layout of it. While I do not actively use it every day, whenever I do use it, I do have to get refamiliarized with it. However, once you have your dashboards setup correctly with the data that you want to see when you first login to Dynatrace, it's amazing.
Given that Dynatrace has become an informal industry standard, the plethora of information available on forums is massive. Most problems or roadblocks you come across are most likely (almost certainly, in fact) already solved and solutions available on these forums. The tech support at Dynatrace is also quite good, with prompt and knowledgeable people at their end.
The product management team is very responsive. They are on LinkedIn and Twitter, responding to your questions and offering ideas. I have not opened an Oracle support ticket for this product yet
Synthetic Monitoring automatically does what other products do only through the use of other tools or through the development of user applications that still have a high cost of maintenance. The other products are not immediately usable and require many customizations. Through the use of configuration automatisms, you can be immediately operational and, in our case, we detected several imperfections in the applications.
Oracle Analytics Cloud is an enterprise solution and can't be compared apple-to-apple with a data visualization tool like Tableau. This is not the same use at all. Before selecting Oracle Analytics Cloud, it is most important to consider the data you are looking to collect and how you plan to visualize it. Other tools like Tableau and microstrategy feel smoother to work with, have better UI's and are quicker when processing data. It is also important to think through how you will use the data across your organizations. Can have a steep learning curve but once you are well trained on this tool, the possibilities are endless. The tool is highly customizable and will generate what you design it to generate. If you are having issues with reports and analytics, it is most likely due to data quality issues. Oracle Analytics Cloud also benefits by adding Essbase in it, to perform multi-dimensional analytics.
