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."ETL and streaming capabilities."
"The solution is very stable."
"I found the solution stable. We haven't had any problems with it."
"There's a lot of functionality."
"Features include machine learning, real time streaming, and data processing."
"The distribution of tasks, like the seamless map-reduce functionality, is quite impressive."
"The most valuable feature of this solution is its capacity for processing large amounts of data."
"Apache Spark provides a very high-quality implementation of distributed data processing."
"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 most valuable feature of the Oracle Application Development Framework is the rapid development and the security it provides."
"The best part of Oracle ADF is being able to easily write code in Java with JavaBean files."
"The most valuable features of this solution are the business components."
"It's database-centric, and it's seemingly easy to use the model–view–controller pattern that's built-in."
"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."
"Apache Spark could improve the connectors that it supports. There are a lot of open-source databases in the market. For example, cloud databases, such as Redshift, Snowflake, and Synapse. Apache Spark should have connectors present to connect to these databases. There are a lot of workarounds required to connect to those databases, but it should have inbuilt connectors."
"The graphical user interface (UI) could be a bit more clear. It's very hard to figure out the execution logs and understand how long it takes to send everything. If an execution is lost, it's not so easy to understand why or where it went. I have to manually drill down on the data processes which takes a lot of time. Maybe there could be like a metrics monitor, or maybe the whole log analysis could be improved to make it easier to understand and navigate."
"We've had problems using a Python process to try to access something in a large volume of data. It crashes if somebody gives me the wrong code because it cannot handle a large volume of data."
"I would like to see integration with data science platforms to optimize the processing capability for these tasks."
"Apache Spark provides very good performance The tuning phase is still tricky."
"The migration of data between different versions could be improved."
"We are building our own queries on Spark, and it can be improved in terms of query handling."
"Needs to provide an internal schedule to schedule spark jobs with monitoring capability."
"The application needs to be more lightweight and the performance improved."
"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."
"You need to have Oracle ADF on-premises to build a big project. You need to have a dependable front-end application."
"The performance of this solution needs to be improved because it is very slow."
"Lacks tailoring to geographic regional differences and consistent integration with third parties."
"The UI is very slow and not up to market standard."
"Oracle ADF needs more components and the layout can be improved."
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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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