We performed a comparison between Apache Spark and Oracle Application Development Framework based on real PeerSpot user reviews.
Find out in this report how the two Java Frameworks solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."The processing time is very much improved over the data warehouse solution that we were using."
"The product is useful for analytics."
"We use Spark to process data from different data sources."
"The memory processing engine is the solution's most valuable aspect. It processes everything extremely fast, and it's in the cluster itself. It acts as a memory engine and is very effective in processing data correctly."
"The most valuable feature of this solution is its capacity for processing large amounts of data."
"With Spark, we parallelize our operations, efficiently accessing both historical and real-time data."
"The good performance. The nice graphical management console. The long list of ML algorithms."
"The data processing framework is good."
"The most valuable feature is the ease of integration with other Oracle products."
"There are several valuable features. First is the fast deployment. Also the ease of use."
"It's database-centric, and it's seemingly easy to use the model–view–controller pattern that's built-in."
"The power of Oracle ADF is in the business components."
"We can create objects that allow us to develop pages and applications very rapidly."
"The single sign-on features applied to Oracle Cloud is a valuable feature. All parts of this application are compatible with single sign-on, where you have a security feature that is very good in Oracle Cloud."
"The most valuable features of this solution are the business components."
"The most valuable feature of the Oracle Application Development Framework is the rapid development and the security it provides."
"When you first start using this solution, it is common to run into memory errors when you are dealing with large amounts of data."
"There could be enhancements in optimization techniques, as there are some limitations in this area that could be addressed to further refine Spark's performance."
"When you are working with large, complex tasks, the garbage collection process is slow and affects performance."
"The initial setup was not easy."
"The product could improve the user interface and make it easier for new users."
"At the initial stage, the product provides no container logs to check the activity."
"It would be beneficial to enhance Spark's capabilities by incorporating models that utilize features not traditionally present in its framework."
"I would like to see integration with data science platforms to optimize the processing capability for these tasks."
"Lacks tailoring to geographic regional differences and consistent integration with third parties."
"I use JDeveloper along with ADF and, unfortunately, JDeveloper is a very slow tool. It takes a lot of time to accomplish things with it during both development and deployment. I hope that Oracle will improve JDeveloper to make it run faster."
"You need to have Oracle ADF on-premises to build a big project. You need to have a dependable front-end application."
"The application needs to be more lightweight and the performance improved."
"The model layer could be improved for performance because once that part gets bloated, the performance is lacking. So, there is room for performance optimization."
"Oracle ADF needs more components and the layout can be improved."
"The UI is very slow and not up to market standard."
"The performance of this solution needs to be improved because it is very slow."
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Apache Spark is ranked 2nd in Java Frameworks with 60 reviews while Oracle Application Development Framework is ranked 8th in Java Frameworks with 9 reviews. Apache Spark is rated 8.4, while Oracle Application Development Framework is rated 7.8. The top reviewer of Apache Spark writes "Reliable, able to expand, and handle large amounts of data well". On the other hand, the top reviewer of Oracle Application Development Framework writes "Eases the writing of code in Java with JavaBeans; easy to set up". Apache Spark is most compared with Spring Boot, AWS Batch, Spark SQL, SAP HANA and Cloudera Distribution for Hadoop, whereas Oracle Application Development Framework is most compared with Spring Boot, Spring MVC and Jakarta EE. See our Apache Spark vs. Oracle Application Development Framework report.
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