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Apache Spark vs Oracle Application Development Framework comparison

 

Comparison Buyer's Guide

Executive Summary
 

Categories and Ranking

Apache Spark
Ranking in Java Frameworks
2nd
Average Rating
8.4
Reviews Sentiment
7.7
Number of Reviews
64
Ranking in other categories
Hadoop (1st), Compute Service (4th)
Oracle Application Developm...
Ranking in Java Frameworks
7th
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 November 2024, in the Java Frameworks category, the mindshare of Apache Spark is 6.7%, down from 7.6% compared to the previous year. The mindshare of Oracle Application Development Framework is 2.2%, down from 2.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Java Frameworks
 

Featured Reviews

SurjitChoudhury - PeerSpot reviewer
Offers batch processing of data and in-memory processing in Spark greatly enhances performance
Spark supports real-time data processing through Spark Streaming. It allows for batch processing of data. If you have immediate data, like chat information, that needs to be processed in real-time, Spark Streaming is used. For data that can be evaluated later, batch processing with Apache Spark is suitable. Mostly, batch processing is utilized in our organization, but for streaming data processing, tools like Kafka are often integrated. In-memory processing in Spark greatly enhances performance, making it a hundred times faster than the previous MapReduce methods. This improvement is achieved through optimization techniques like caching, broadcasting, and partitioning, which help in optimizing queries for faster processing.
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

"Provides a lot of good documentation compared to other solutions."
"Spark helps us reduce startup time for our customers and gives a very high ROI in the medium term."
"We use it for ETL purposes as well as for implementing the full transformation pipelines."
"The deployment of the product is easy."
"The main feature that we find valuable is that it is very fast."
"Spark can handle small to huge data and is suitable for any size of company."
"The product’s most valuable feature is the SQL tool. It enables us to create a database and publish it."
"Features include machine learning, real time streaming, and data processing."
"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 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."
"The most valuable features of this solution are the business components."
"The best part of Oracle ADF is being able to easily write code in Java with JavaBean files."
"The power of Oracle ADF is in 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."
 

Cons

"Technical expertise from an engineer is required to deploy and run high-tech tools, like Informatica, on Apache Spark, making it an area where improvements are required to make the process easier for users."
"They could improve the issues related to programming language for the platform."
"Stream processing needs to be developed more in Spark. I have used Flink previously. Flink is better than Spark at stream processing."
"At times during the deployment process, the tool goes down, making it look less robust. To take care of the issues in the deployment process, users need to do manual interventions occasionally."
"The setup I worked on was really complex."
"The management tools could use improvement. Some of the debugging tools need some work as well. They need to be more descriptive."
"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."
"Apart from the restrictions that come with its in-memory implementation. It has been improved significantly up to version 3.0, which is currently in use."
"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."
"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."
"Lacks tailoring to geographic regional differences and consistent integration with third parties."
"The performance of this solution needs to be improved because it is very slow."
"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."
"Oracle ADF needs more components and the layout can be improved."
"The application needs to be more lightweight and the performance improved."
 

Pricing and Cost Advice

"Apache Spark is open-source. You have to pay only when you use any bundled product, such as Cloudera."
"It is an open-source platform. We do not pay for its subscription."
"I did not pay anything when using the tool on cloud services, but I had to pay on the compute side. The tool is not expensive compared with the benefits it offers. I rate the price as an eight out of ten."
"Spark is an open-source solution, so there are no licensing costs."
"The solution is affordable and there are no additional licensing costs."
"Considering the product version used in my company, I feel that the tool is not costly since the product is available for free."
"Apache Spark is an expensive solution."
"On the cloud model can be expensive as it requires substantial resources for implementation, covering on-premises hardware, memory, and licensing."
"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 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."
"The cost of this solution is approximately $47,000 USD per site."
"We use a lot of Oracle products and in total, we pay about £5 million ($6.1 million USD) per year."
"We have yearly licensing costs."
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Top Industries

By visitors reading reviews
Financial Services Firm
27%
Computer Software Company
13%
Manufacturing Company
8%
University
5%
Financial Services Firm
16%
Computer Software Company
14%
Government
12%
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 main concern is the overhead of Java when distributed processing is not necessary. In such cases, operations can often be done on one node, making Spark's distributed mode unnecessary. Conseque...
What is your experience regarding pricing and costs for Oracle Application Development Framework?
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.
What needs improvement with Oracle Application Development Framework?
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. On the View Controller part, the U...
 

Also Known As

No data available
Oracle ADF
 

Learn More

 

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: October 2024.
816,406 professionals have used our research since 2012.