Apache Spark vs Oracle Application Development Framework comparison

Apache and Oracle are both solutions in the Java Frameworks category. Apache is ranked #2 with an average rating of 8.8, while Oracle is ranked #8. Apache holds a 8.3% mindshare in JF, compared to Oracle’s 4.2% mindshare. Additionally, 90% of Apache users are willing to recommend the solution, compared to 87% of Oracle users who would recommend it.

Apache Spark

Read 67 Apache Spark reviews

4,144 Views
1,492 Comparison Views

90% willing to recommend

Oracle Application Developm...

Read 9 Oracle Application Development Framework reviews

619 Views
613 Comparison Views

87% willing to recommend

Apache Spark

Oracle Application Developm...

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Executive Summary

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.

To learn more, read our detailed Apache Spark vs. Oracle Application Development Framework Report (Updated: July 2025).

Buyer's Guide

Apache Spark vs. Oracle Application Development Framework

July 2025

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Helped 867,497 peers since 2012

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

7.3

Number of Reviews

Ranking in other categories

Hadoop (1st), Compute Service (3rd)

Oracle Application Developm...

Ranking in Java Frameworks

8th

Average Rating

7.8

Reviews Sentiment

6.0

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of September 2025, in the Java Frameworks category, the mindshare of Apache Spark is 8.3%, up from 7.9% compared to the previous year. The mindshare of Oracle Application Development Framework is 4.2%, up from 2.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Java Frameworks Market Share Distribution
Product	Market Share (%)
Apache Spark	8.3%
Oracle Application Development Framework	4.2%
Other	87.5%

Java Frameworks

Featured Reviews

Omar Khaled

Data Engineer at a tech company with 10,001+ employees

Empowering data consolidation and fast decision-making with efficient big data processing

I can improve the organization's functions by taking less time to make decisions. To make the right decision, you need the right data, and a solution can provide this by hiring talent and employees who can consolidate data from different sources and organize it. Not all solutions can make this data fast enough to be used, except for solutions such as Apache Spark Structured Streaming. To make the right decision, you should have both accurate and fast data. Apache Spark itself is similar to the Python programming language. Python is a language with many libraries for mathematics and machine learning. Apache Spark is the solution, and within it, you have PySpark, which is the API for Apache Spark to write and run Python code. Within it, there are many APIs, including SQL APIs, allowing you to write SQL code within a Python function in Apache Spark. You can also use Apache Spark Structured Streaming and machine learning APIs.

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Asad Ur Rehman

ERP Manager | Implementation Head at Tharsol

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.

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Quotes from Members

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

Pros

"The features we find most valuable are the machine learning, data learning, and Spark Analytics."

"The most valuable feature of Apache Spark is its flexibility."

"Apache Spark provides a very high-quality implementation of distributed data processing."

"Spark is used for transformations from large volumes of data, and it is usefully distributed."

"The most valuable feature is the Fault Tolerance and easy binding with other processes like Machine Learning, graph analytics."

"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."

"Apache Spark can do large volume interactive data analysis."

"Features include machine learning, real time streaming, and data processing."

More Apache Spark pros

"There are several valuable features. First is the fast deployment. Also the ease of use."

"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."

"The most valuable features of this solution are the business components."

"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 best part of Oracle ADF is being able to easily write code in Java with JavaBean files."

More Oracle Application Development Framework pros

Cons

"There were some problems related to the product's compatibility with a few Python libraries."

"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."

"I know there is always discussion about which language to write applications in and some people do love Scala. However, I don't like it."

"When you are working with large, complex tasks, the garbage collection process is slow and affects performance."

"We are building our own queries on Spark, and it can be improved in terms of query handling."

"Stability in terms of API (things were difficult, when transitioning from RDD to DataFrames, then to DataSet)."

"It's not easy to install."

"The solution needs to optimize shuffling between workers."

More Apache Spark cons

"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."

"The performance of this solution needs to be improved because it is very slow."

"You need to have Oracle ADF on-premises to build a big project. You need to have a dependable front-end application."

"The UI is very slow and not up to market standard."

"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."

"The application needs to be more lightweight and the performance improved."

More Oracle Application Development Framework cons

Pricing and Cost Advice

"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."

"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."

"Spark is an open-source solution, so there are no licensing costs."

"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."

"Apache Spark is open-source. You have to pay only when you use any bundled product, such as Cloudera."

"It is quite expensive. In fact, it accounts for almost 50% of the cost of our entire project."

"The solution is affordable and there are no additional licensing costs."

More Apache Spark pricing and cost advice

"We use a lot of Oracle products and in total, we pay about £5 million ($6.1 million USD) per year."

"The cost of this solution is approximately $47,000 USD per site."

"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."

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Top Industries

By visitors reading reviews

Financial Services Firm

26%

Computer Software Company

11%

Manufacturing Company

Comms Service Provider

Government

11%

Insurance Company

11%

Computer Software Company

10%

Manufacturing Company

10%

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	27
Midsize Enterprise	15
Large Enterprise	32

By reviewers
Company Size	Count
Small Business	6
Midsize Enterprise	2
Large Enterprise	1

Questions from the Community

What do you like most about Apache Spark?

We use Spark to process data from different data sources.

See all answers

What is your experience regarding pricing and costs for Apache Spark?

Apache Spark is open-source, so it doesn't incur any charges.

See all answers

What needs improvement with Apache Spark?

Regarding Apache Spark, I have only used Apache Spark Structured Streaming, not the machine learning components. I am uncertain about specific improvements needed today. However, after five years, ...

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Comparisons

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AWS Lambda vs Apache Spark

Compared 7% of the time

Spark SQL vs Apache Spark

Compared 6% of the time

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Compared 55% of the time

Jakarta EE vs Oracle Application Development Framework

Compared 24% of the time

Spring MVC vs Oracle Application Development Framework

Compared 12% of the time

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Product Reports

Buyer's Guide

Apache Spark

September 2025

Download Apache Spark product report

Buyer's Guide

Java Frameworks

August 2025

Oracle Application Development Framework report

Download Oracle Application Development Framework product report

Also Known As

No data available

Oracle ADF

Overview

Spark provides programmers with an application programming interface centered on a data structure called the resilient distributed dataset (RDD), a read-only multiset of data items distributed over a cluster of machines, that is maintained in a fault-tolerant way. It was developed in response to limitations in the MapReduce cluster computing paradigm, which forces a particular linear dataflowstructure on distributed programs: MapReduce programs read input data from disk, map a function across the data, reduce the results of the map, and store reduction results on disk. Spark's RDDs function as a working set for distributed programs that offers a (deliberately) restricted form of distributed shared memory

Apache

Oracle ADF is an end-to-end Java EE framework that simplifies application development by providing out-of-the-box infrastructure services and a visual and declarative development experience. Oracle ADF simplifies Java EE development by minimizing the need to write code that implements the applicationâs infrastructure allowing the developers to focus on the features of the actual application. Oracle ADF provides these infrastructure implementations as part of the framework. It also implements the Model-View-Controller design pattern and offers an integrated solution that covers all the layers of the architecture integrated with the Oracle SOA and WebCenter Portal frameworks.

Oracle

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

Buyer's Guide

Apache Spark vs. Oracle Application Development Framework

July 2025

Free Report: Apache Spark vs. Oracle Application Development Framework

Find out what your peers are saying about Apache Spark vs. Oracle Application Development Framework and other solutions. Updated: July 2025.

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