Data Center Real-User Monitoring (DCRUM), discontinued vs. Google Universal Analytics (discontinued)

Dynatrace Network Application Monitoring (NAM), formerly DCRUM, has improved greatly compared to when it was DCRUM; however, it still needs a lot of improvement in end-to-end flow capture with regards to network monitoring. Its alerting and integration capabilities are very good and easy to use. But it still needs a lot of tweaking in usability.

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As I have discussed previously their insights were very useful. The second thing is since it is a Google product you will connect the data very easily from other platforms like Bigquery, Google Drive, etc. and even you can connect Google marketing platform. through this tool, you can track your live campaign how they were performing, and how it will be engaging your customer as well.

• Dynatrace DCRUM can monitor legacy application protocols that are still used in a lot of organizations worldwide who still trust in those technologies.
• DCRUM monitors client-server architectures very well and can pinpoint issues along an infrastructure stack.
• Dynatrace DCRUM can analyze a wide spectre of protocols: Corba, DNS, DB2, Exchange, TCP, HTTP, IBM MQ, Citrix, ICMP, Informix, Tuxedo, SMB, LDAP, MSRPC, MySQL, NetFlow, Net8, Oracle Forms, RMI, SAP GUI, SAP HANA, SAP RFC, SMB, SOAP, XML.

• It is an excellent cloud analytics platform that is easy to install and configure and easy to deploy and use, allowing us to measure web traffic and other tools.
• It is an entirely online tool; it does not take up hard disk space like other desktop tools.
• Since this tool is draggable, Google is constantly adding more features.
• Even beginners who do not have a custom dashboard can get information. If there is a problem somewhere on the site that needs to be investigated, Google Analytics 360 will notify you.

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• Major upgrades process is sometimes unpredictable.
• The use of SQL Server should be evaluated for something else.
• Easier SSL key handling.

• Generally I think there is a lot you can do within the tool, but as it is a Google product it means there is limited support - something which I think lets all of the platform stacks down
• There could be more visual signifiers to identify if a feature is a normal or 360 feature. This would mean you can really get to grips with what the extra more advanced elements are

Google Analytics 360 is an upgraded version of the most widely used web/app analytics tracking tools in the market. The price is stable and predictable making it a long-term product of choice. It's easy to use and pairs so well with other Google Marketing Platform products.

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Best of breed.

The UI is very easy to navigate and use. The features are well designed and intuitive. As long as the user has a good understanding of basic digital analytics definitions and capabilities, this tool should be quite easy to use. I consider Google Analytics Premium to be the easiest of all of the enterprise solutions out there to use.

The only thing missing for a 10, would be if they texted or called you back.

If you purchase Premium through a reseller like LunaMetrics, you are going to be taken care of. The additional amount of support and services that a reseller provides to make sure you have the best experience with the product is the reason why the reseller program exists to begin with. Support doesn't have to be just reactive, it can be proactive as well.

There is a ton of information online about Google Analytics, but Google Analytics Premium users will have dedicated support and training from Google or an Authorized Reseller.

If you already have the basic version of GA installed, "getting" GA Premium happens immediately through a virtual flipping of the switch - no need to re-implement. You'll want to expand your use of custom dimensions and metrics (you get 10x the amount with Premium). Ideally, you'll be using a tag management solution to talk with GA Premium, in concert with implementing a dataLayer (to note, Google's Tag Manager platform is covered under the same GA Premium SLA, and it's free). There are some welcomed "configurations" with GA Premium, such as integrating with DoubleClick products, activating data driven attribution models, and building roll-up executive reports - but all of these are easy point and click solutions. In comparison with any other enterprise analytics solution, implementing GA and GA Premium is traditionally easier and more flexible. And if you have any trouble or need an extra set of hands for implementation, GA Certified Partners like LunaMetrics can help

Nagios can't trace real user transactions from a front-end tier through a backend-tier,;with Nagios you only can monitor server availability and hardware issues. Riverbed is commonly used to determine networking issues without considering real user transactions impact on an application stack.

Unless you have very complex and edge case analytics needs, Google Analytics [360 (formerly Google Analytics Premium)] is likely going to be the best choice. From both a cost and usability stand point, Google wins. Adobe has the edge case when you need to create really custom reports, dimensions, metrics, etc. In my experience, this is rarely the case and you end up biting off more than you can chew. Stick with Google unless you are or plan on hiring an Adobe Analytics expert.

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• Dynatrace Network Application Monitoring (NAM), formerly DCRUM, helped us get a lot of info on an ongoing issue.
• It helped us figure out network bottlenecks in our environment.
• It is a very costly tool and a lot of other cheaper tools give same kind of info.

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• It helps me understand which social media platforms are most successful for me - which I should focus on and which I might want to focus less on.
• I can also see which blog posts people are reading - so I know which topics resonate most. I can write more of those, hopefully gaining more visitors.

Incentivized

Independently Invited by TrustRadius

A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info