Coremetrics / IBM Digital Analytics (discontinued) vs. Oracle Java SE

IBM analytics has continued to improve upon the days of being the original core metrics. After using the updated version for quite some time, it has been great at providing the needed analytics to measure ROI and goal performance for our quarterly KPI's. It has resulted in a great increase in web engagements although we are a midsize company, smaller outfits may not need such an expensive option.

Incentivized

Oracle Java SE is well suited to long-running applications (e.g. servers). Java Swing (UI toolkit) is now rather outdated, lacking support for modern UI features. JavaFX, the potential replacement for Swing, has now been separated out of Java core. Ideally, there would be a path to migrate a large application incrementally from Swing to JavaFX, but due to different threading models and other aspects, it is difficult. At this point, it is probably better to use an embedded web browser (e.g. JxBrowser) to provide a modern UI in HTML/Javascript and keep just the business logic in Java.

Incentivized

• IBM CXA comprises an acquisition called Tealeaf. This tool has deep heritage and this is evident in its present-day capabilities.
• The Universal Behaviour Exchange or UBX puts the concept of personalisation at the forefront. The ability to combine physical (analog) and digital transactions to create the complete picture of a customer journey, is a stand out benefit.
• The solution does not have to involve the purchase of software. IBM CXA can be sold as a service bundled with analytics as a service. This not only lowers the cost of ownership, it gets around one of the principal issues. Strong staff with design and analytical capability to drive the solution and deliver tangible benefits.
• The seamless integration of Watson AI services to help with the heavy lifiting. Watson reinforces the analytical focus this solution has and can learn to recognise situations specific to a company.

Incentivized

• Plenty support built into the tool and IDE like Maven, Ant, Eclipse, IntelliJ.
• Strong object-orientation language and clear project structure.
• Wrapper underlines hardware and memory management so the developers can focus on business and implementation.
• It offers a huge library and framework support from third-parties and the community.

Incentivized

• The user interface is in Flash, which can be very frustrating and slow at times. Apparently, this is to be transitioned in a future release.
• Can only segment the last 93 days of data. Any historical segmentation beyond the 93 days must be run in Explore (which is credit based, and has its own limitations with the number of credits per month, based on the initial contract with IBM).
• Reports can only display 93 days of data at a given time for custom date ranges. There are pre-programmed date ranges setup with IBM during implementation (last week, last month, last quarter etc.), but are not flexible enough to answer more specific questions.
• Certain reports cannot have segments applied, making answering some simple questions a bit more tricky. For example, I can create a segment around mobile devices and apply it to the marketing channels report, but I can't create a marketing channel segment and apply it to the mobile reports.
• Built in API calls allows for nice report design and automation.

• Commercial Licensing in 2019. Oracle will charge commercial organizations using Java SE for upgrading to the latest bug fixes and updates. Organizations will now need to either limit their implementation of Java SE or may need to drop it altogether.
• Slow Performance. Due to the all of the abstraction of the JVM, Java SE programs take much more resources to compile and run compared to Python.
• Poor UI appearance on all of the major GUI libraries (Swing, SWT, etc.). Through Android Studio, it is easy to get a native look/feel for Java apps, but when it comes to desktops, the UI is far from acceptable (does not mimic the native OS's look/feel at all).

Incentivized

IBM Digital Analytics is a great solution for our clients and I believe they offer the best solution for the retail space. We have access to IBM support via email or live chat and they can answer many of the reporting questions that come up. IBM is receptive to our feedback of the product so I am confident they will continue making improvements

Very easy to implement and use.

Oracle Java SE provides the new features along with timely security patches. New features like Record patterns and pattern matching for switches are very useful. With every new release of Java, it is getting better. Sequenced collections are also an interesting feature added to Java. With all these new features, backward compatibility is also maintained.

Incentivized

Never had any issues

As reports are templated, the system is pretty quick. Sometimes you have to wait a bit for a report to render. Or you might have to re-load the page. But there is no real issue here and the system is on par with other similar systems.

Overall, the level of support is very good and I would say it is a strong asset of the solution. However, you can sometimes feel that there is a difference of level among the support team.

Java is such a mature product at this point that there is little support from the vendor that is needed. Various sources on the internet, and especially StackOverflow, provide a wealth of knowledge and advice. Areas that may benefit from support is when dealing with complex multithreading issues and security libraries.

Incentivized

Online training is really great. One of the best assets that they have. Lots of great videos, pop quizzes at the end of each module. Fantastic. Other tools have similar features, but not as good.

See previous comment: reading and understanding the encyclopedic implementation guide is a must.

Much of the work we did in IBM Digital Analytics could have been answered through Google Analytics, a much simpler, agile and FREE solution set. Not mention, given the vast number of Google Analytics USERS, free and actionable support is simply a click away ... this compared to IBM Digital Analytics fractured and often absent support service.

Chose to go with Java instead of Python or C++ due to the expertise on the ground with the technology, for its ease of integration with our heterogeneous setup of production servers, and for the third party library support which we've found was able to address some challenging aspects of our business problem.

Incentivized

This solution can support large amount of data and transaction. The way that user management features are built, it shows it is meant for large organizations.

• We spend too much time trying to work around bugs on the new UI.
• We spend too much time trying to figure out how to make certain segments work because support and the knowledge center are lackluster.
• Our sales rep is very unresponsive and leaves us searching for a lot of answers on our own, including what other products we may benefit from that IBM offers.

Incentivized

• The different versions make it harder to work with other companies where some use newer versions while some use older versions, costing time to make them compatible.
• Licenses are getting to be costly, forcing us to consider OpenJDK as an alternative.
• New features take time to learn. When someone starts using them, everyone has to take time to learn.

Incentivized