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."Provides a lot of good documentation compared to other solutions."
"This solution provides a clear and convenient syntax for our analytical tasks."
"One of Apache Spark's most valuable features is that it supports in-memory processing, the execution of jobs compared to traditional tools is very fast."
"Now, when we're tackling sentiment analysis using NLP technologies, we deal with unstructured data—customer chats, feedback on promotions or demos, and even media like images, audio, and video files. For processing such data, we rely on PySpark. Beneath the surface, Spark functions as a compute engine with in-memory processing capabilities, enhancing performance through features like broadcasting and caching. It's become a crucial tool, widely adopted by 90% of companies for a decade or more."
"It is useful for handling large amounts of data. It is very useful for scientific purposes."
"Spark can handle small to huge data and is suitable for any size of company."
"Spark helps us reduce startup time for our customers and gives a very high ROI in the medium term."
"Its scalability and speed are very valuable. You can scale it a lot. It is a great technology for big data. It is definitely better than a lot of earlier warehouse or pipeline solutions, such as Informatica. Spark SQL is very compliant with normal SQL that we have been using over the years. This makes it easy to code in Spark. It is just like using normal SQL. You can use the APIs of Spark or you can directly write SQL code and run it. This is something that I feel is useful in Spark."
"The most valuable features of this solution are the business components."
"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."
"There are several valuable features. First is the fast deployment. Also the ease of use."
"The best part of Oracle ADF is being able to easily write code in Java with JavaBean files."
"We can create objects that allow us to develop pages and applications very rapidly."
"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."
"The most valuable feature of the Oracle Application Development Framework is the rapid development and the security it provides."
"The solution’s integration with other platforms should be improved."
"In data analysis, you need to take real-time data from different data sources. You need to process this in a subsecond, do the transformation in a subsecond, and all that."
"We use big data manager but we cannot use it as conditional data so whenever we're trying to fetch the data, it takes a bit of time."
"They could improve the issues related to programming language for the platform."
"One limitation is that not all machine learning libraries and models support it."
"The product could improve the user interface and make it easier for new users."
"Needs to provide an internal schedule to schedule spark jobs with monitoring capability."
"I would like to see integration with data science platforms to optimize the processing capability for these tasks."
"Oracle Application Development Framework is set to go out of support over the next three years but they should provide support for the solution for the longer term. Additionally, there needs to be more overall optimization and specifically in webpage rendering. The solution uses a lot of resources, and in order for them to move forward, they would have to create a smaller resource impact."
"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."
"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."
"The application needs to be more lightweight and the performance improved."
"Lacks tailoring to geographic regional differences and consistent integration with third parties."
"Oracle ADF needs more components and the layout can be improved."
"The UI is very slow and not up to market standard."
"You need to have Oracle ADF on-premises to build a big project. You need to have a dependable front-end application."
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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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