Try our new research platform with insights from 80,000+ expert users

Apache Spark vs Oracle Application Development Framework comparison

 

Comparison Buyer's Guide

Executive Summary

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Categories and Ranking

Apache Spark
Ranking in Java Frameworks
2nd
Average Rating
8.4
Reviews Sentiment
7.7
Number of Reviews
65
Ranking in other categories
Hadoop (1st), Compute Service (4th)
Oracle Application Developm...
Ranking in Java Frameworks
10th
Average Rating
7.8
Reviews Sentiment
6.0
Number of Reviews
9
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of April 2025, in the Java Frameworks category, the mindshare of Apache Spark is 5.5%, down from 7.5% compared to the previous year. The mindshare of Oracle Application Development Framework is 2.5%, up from 2.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Java Frameworks
 

Featured Reviews

Ilya Afanasyev - PeerSpot reviewer
Reliable, able to expand, and handle large amounts of data well
We use batch processing. It works well with our formats and file versions. There's a lot of functionality. In our pipeline each hour, we make a copy of data from MongoDB, of the changes from MongoDB to some specific file. Each time pipeline copied all of the data, it would do it each time without changes to all of the tables. Tables have a lot of data, and in the last MongoDB version, there is a possibility to read only changed data. This reduced the cost and configuration of the cluster, and we saved about $150,000. The solution is scalable. It's a stable product.
Asad Ur Rehman - PeerSpot reviewer
Eases the writing of code in Java with JavaBeans; easy to set up
My advice to anyone who intends to use ADF for the first time is that you must make sure that you have powerful enough hardware in order to run everything smoothly, especially when it comes to JDeveloper. If your hardware is adequate, you can get by without a problem in terms of speed, but be advised that it can use a lot of resources. However, even though ADF is a good product with great scalability that has really helped me out in hard times since 2014, I would ultimately recommend that new users look toward Oracle APEX instead of ADF. I would rate Oracle Application Development Framework a nine out of ten.

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"This solution provides a clear and convenient syntax for our analytical tasks."
"Apache Spark is known for its ease of use. Compared to other available data processing frameworks, it is user-friendly."
"The distribution of tasks, like the seamless map-reduce functionality, is quite impressive."
"It is useful for handling large amounts of data. It is very useful for scientific purposes."
"We use Spark to process data from different data sources."
"One of the key features is that Apache Spark is a distributed computing framework. You can help multiple slaves and distribute the workload between them."
"The product's deployment phase is easy."
"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 is the ease of integration with other Oracle products."
"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 power of Oracle ADF is in the business components."
"We can create objects that allow us to develop pages and applications very rapidly."
"The best part of Oracle ADF is being able to easily write code in Java with JavaBean files."
"It's database-centric, and it's seemingly easy to use the model–view–controller pattern that's built-in."
"The most valuable features of this solution are the business components."
"There are several valuable features. First is the fast deployment. Also the ease of use."
 

Cons

"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."
"Dynamic DataFrame options are not yet available."
"The product could improve the user interface and make it easier for new users."
"Apache Spark is very difficult to use. It would require a data engineer. It is not available for every engineer today because they need to understand the different concepts of Spark, which is very, very difficult and it is not easy to learn."
"Include more machine learning algorithms and the ability to handle streaming of data versus micro batch processing."
"Apache Spark should add some resource management improvements to the algorithms."
"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."
"Its UI can be better. Maintaining the history server is a little cumbersome, and it should be improved. I had issues while looking at the historical tags, which sometimes created problems. You have to separately create a history server and run it. Such things can be made easier. Instead of separately installing the history server, it can be made a part of the whole setup so that whenever you set it up, it becomes available."
"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."
"Oracle ADF needs more components and the layout can be improved."
"Lacks tailoring to geographic regional differences and consistent integration with third parties."
"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."
"You need to have Oracle ADF on-premises to build a big project. You need to have a dependable front-end application."
"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."
"The performance of this solution needs to be improved because it is very slow."
"The application needs to be more lightweight and the performance improved."
 

Pricing and Cost Advice

"It is an open-source solution, it is free of charge."
"Apache Spark is not too cheap. You have to pay for hardware and Cloudera licenses. Of course, there is a solution with open source without Cloudera."
"On the cloud model can be expensive as it requires substantial resources for implementation, covering on-premises hardware, memory, and licensing."
"It is an open-source platform. We do not pay for its subscription."
"The tool is an open-source product. If you're using the open-source Apache Spark, no fees are involved at any time. Charges only come into play when using it with other services like Databricks."
"Since we are using the Apache Spark version, not the data bricks version, it is an Apache license version, the support and resolution of the bug are actually late or delayed. The Apache license is free."
"Apache Spark is open-source. You have to pay only when you use any bundled product, such as Cloudera."
"Licensing costs can vary. For instance, when purchasing a virtual machine, you're asked if you want to take advantage of the hybrid benefit or if you prefer the license costs to be included upfront by the cloud service provider, such as Azure. If you choose the hybrid benefit, it indicates you already possess a license for the operating system and wish to avoid additional charges for that specific VM in Azure. This approach allows for a reduction in licensing costs, charging only for the service and associated resources."
"We use a lot of Oracle products and in total, we pay about £5 million ($6.1 million USD) per year."
"The solution has an annual licensing cost and there are only standard fees. If you want Oracle support this is charged extra on top of the licensing fees."
"We have yearly licensing costs."
"Oracle ADF is an expensive product. I don't know the actual figures, but our licensing costs for the year 2020, for example, were very high."
"The cost of this solution is approximately $47,000 USD per site."
report
Use our free recommendation engine to learn which Java Frameworks solutions are best for your needs.
845,040 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
Financial Services Firm
28%
Computer Software Company
13%
Manufacturing Company
8%
Comms Service Provider
5%
Computer Software Company
16%
Government
10%
Non Profit
10%
Manufacturing Company
9%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

Questions from the Community

What do you like most about Apache Spark?
We use Spark to process data from different data sources.
What is your experience regarding pricing and costs for Apache Spark?
Compared to other solutions like Doc DB, Spark is more costly due to the need for extensive infrastructure. It requires significant investment in infrastructure, which can be expensive. While cloud...
What needs improvement with Apache Spark?
The Spark solution could improve in scheduling tasks and managing dependencies. Spark alone cannot handle sequential tasks, requiring environments like Airflow scheduler or scripts. For instance, o...
Ask a question
Earn 20 points
 

Also Known As

No data available
Oracle ADF
 

Overview

 

Sample Customers

NASA JPL, UC Berkeley AMPLab, Amazon, eBay, Yahoo!, UC Santa Cruz, TripAdvisor, Taboola, Agile Lab, Art.com, Baidu, Alibaba Taobao, EURECOM, Hitachi Solutions
Financial Regulatory Authority (FRA) of Egypt, Red Samurai, ChB Jelly House
Find out what your peers are saying about Apache Spark vs. Oracle Application Development Framework and other solutions. Updated: March 2025.
845,040 professionals have used our research since 2012.