IBM Cloud Pak for Applications vs. GraalVM

Well suited for customers who are looking for cloud-adoption, and finally to meet the challenges of business innovation for the competitive advantage through DevOps.

Incentivized

Its well fit for the environment where applications are written in programming languages supported by GraalVM. It's [a] very powerful and reliable, high-performer Java Virtual Machine that provides the Java Development kit i.e JDK that has the ability to compile the Java apps ahead of time. Maintenance of this tool is simple and it [increases] the efficiency of the product since it requires few resources.

Incentivized

• Provides a fantastic range of Application runtimes allowing the most suitable runtime to be selected for the app being implemented.
• After using Transformation Advisor for quite a while, it is an indispensable tool to help modernize, specifically from WebSphere and Tomcat, towards the lightweight, fast and efficient Liberty runtime.
• The simplicity of the licensing by wrapping many products into a single offering with a different VPC weighting.
• Allows us to modernize our runtime from WebSphere Application Server (or ND) to WebSphere Liberty core without sacrificing our WAS licenses.

Incentivized

• Best performance of applications
• High efficiency of applications
• Reduced hardware requirements
• Lesser consumption of resources
• Universal support to multiple programming languages
• Reduced size of applications
• Creation of virtual images for testing on Android and iOS mobile operating systems
• Creation of native images
• Excellent support
• Documentations are detailed enough to learn and use easily
• Easy to use

Incentivized

• User Experience and Learning Curve
• Integration with Third-party Tools
• Pricing and Licensing Model

Incentivized

• It should be possible to use GraalVM EE to distribute native images of JavaFX applications for mobile platforms, especially for Apple platforms.
• Native Images are a game changer. However, compiling complex applications can be a pain. Better support for an improved transition process are a must.

Incentivized

Like all Oracle tools, you can find a lot of documentation and also write down your questions in a forum. Sadly I don't see too many users so far but I hope it'll keep increasing and in a short period we will have more information and ofc issues fixed. So far, everything I needed I could find easily.

Incentivized

Our customer mission-critical core banking applications like Temenos T24 run on best of the breed IBM WebSphere Application Server which is java based-application server. IBM has kept up the promise of providing support, fixpack, and any update. As far as I know, at least by 2030, IBM is committed to continue with WHE which gives customers confidence in their current investments.

Incentivized

GraalVM is at the top when it comes to executing Java applications in terms of speed. With its amazing fast ahead of its time compiler it helps in reducing the startup time of the applications. Also, the overall performance of the product is increased and reduces the latency as well. It supports multiple languages such as Groovy, Ruby, Javascript, R, Python, Scala, Java, Clojure, and many more.

Incentivized

• We have been able to migrate apps away from the expensive WAS-ND to the more cost-effective WAS-base without throwing away our WAS-ND licenses. With a 1:4 ratio of WAS-ND to WAS-base we've been able to we've been able to save in excess of 75% on licensing charges for these apps.
• By having a license model based on VPC ratios (1:4:8 - WAS-ND:WAS-base:Liberty core) we've been able to move away from using license pooling resulting in over-allocating (i.e. wasting) CPU cores for each license pool, to using consolidated license pools hosting a combination of WAS-ND, WAS-base and Liberty-core. This has allowed us to reduce our licensing costs accordingly.

Incentivized

• Financial: Increased Java container count on the same hardware.
• Performance: Decreased cold start time for container startup.
• Training: Adopting GraalVM has a learning curve. This requires investment in time and resources. The benefits come through re-evaluating our current deployments for optimization.

Incentivized