GraalVM vs. Qlik Analytics Platform

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
GraalVM
Score 9.1 out of 10
N/A
GraalVM is a universal virtual machine for running applications written in JavaScript, Python, Ruby, R, JVM-based languages like Java, Scala, Groovy, Kotlin, Clojure, and LLVM-based languages such as C and C++. GraalVM removes the isolation between programming languages and enables interoperability in a shared runtime. It can run either standalone or in the context of OpenJDK, Node.js or Oracle Database. Oracle's GraalVM Enterprise is a multilingual virtual machine, which Oracle states…N/A
Qlik Analytics Platform
Score 7.1 out of 10
N/A
The Qlik Analytics Platform (QAP) is a developer platform for building custom analytic applications based on rich frontend and backend APIs. It gives full API access to the Qlik associative engine to build rich data-driven analytic applications, for example when building web applications for extranet and Internet deployment.N/A
Pricing
GraalVMQlik Analytics Platform
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
GraalVMQlik Analytics Platform
Free Trial
YesNo
Free/Freemium Version
YesNo
Premium Consulting/Integration Services
YesNo
Entry-level Setup FeeOptionalNo setup fee
Additional DetailsGraalVM Enterprise is an entitlement with Java SE Subscription at no additional cost.
More Pricing Information
Best Alternatives
GraalVMQlik Analytics Platform
Small Businesses

No answers on this topic

Visual Studio
Visual Studio
Score 9.0 out of 10
Medium-sized Companies
Oracle Java SE
Oracle Java SE
Score 8.5 out of 10
Quickbase
Quickbase
Score 9.2 out of 10
Enterprises
Oracle Java SE
Oracle Java SE
Score 8.5 out of 10
Quickbase
Quickbase
Score 9.2 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
GraalVMQlik Analytics Platform
Likelihood to Recommend
9.1
(36 ratings)
8.5
(6 ratings)
Support Rating
7.7
(29 ratings)
8.0
(3 ratings)
User Testimonials
GraalVMQlik Analytics Platform
Likelihood to Recommend
Oracle
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.
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Qlik
Qlik Analytics Platform has helped us track turnaround time as well as sales volumes. We can display metrics in a multitude of ways and can then slice it up in even more ways by adding filters. It is nice that you can filter down the data by essentially "Qliking" anywhere to find insights. Qlik Analytics Platform has been extremely beneficial in reducing manual reports. We are able to automate numerous reports in addition to setting up alerts, through Nprinting, that will notify users when certain metrics are hit. For example, if our turnaround time exceeds a certain number, we can alert business stakeholders so they can take a closer look. We can also send notifications to sales representatives when their territories are underperforming.
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Pros
Oracle
  • 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
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Qlik
  • Fast setup of analytics report
  • Easy tweaking of build dashboards
  • Perfect integration with other data software
  • Vast possibilities on setting up dashboards
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Cons
Oracle
  • 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.
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Qlik
  • Certainly, it turns out that implementation and data modeling are sometimes complex.
  • There are still many graphic and representation limits that need complex customizations to be overcome.
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Support Rating
Oracle
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.
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Qlik
Customer support is provided through resellers, and finding the right reseller for your context can be a challenge. However our support from our last two resellers/partners has been largely very good. The online community is strong, though obviously doesn't replace having local technical experts working with the product and managing it.
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Alternatives Considered
Oracle
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.
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Qlik
Qlik is a platform with more scaling ability and functionality compared to PowerBI. PowerBI is the prior step before passing to Qlik, however, Qlik provides more functions and abilities to the business domain unit with better management capabilities for the IT team that set it up. In the end, we implemented Qlik for functionality and scalability.
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Return on Investment
Oracle
  • 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.
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Qlik
  • It made our analytics better
  • Dashboards for strategic decisions are changed and setup faster
  • We spend more time on learning the tool than we thought to need
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