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Apache Spark vs Jakarta EE 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
6.9
Number of Reviews
68
Ranking in other categories
Hadoop (1st), Compute Service (5th)
Jakarta EE
Ranking in Java Frameworks
3rd
Average Rating
7.4
Number of Reviews
3
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of February 2026, in the Java Frameworks category, the mindshare of Apache Spark is 9.3%, up from 7.5% compared to the previous year. The mindshare of Jakarta EE is 17.6%, down from 22.8% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Java Frameworks Market Share Distribution
ProductMarket Share (%)
Apache Spark9.3%
Jakarta EE17.6%
Other73.1%
Java Frameworks
 

Featured Reviews

Devindra Weerasooriya - PeerSpot reviewer
Data Architect at Devtech
Provides a consistent framework for building data integration and access solutions with reliable performance
The in-memory computation feature is certainly helpful for my processing tasks. It is helpful because while using structures that could be held in memory rather than stored during the period of computation, I go for the in-memory option, though there are limitations related to holding it in memory that need to be addressed, but I have a preference for in-memory computation. The solution is beneficial in that it provides a base-level long-held understanding of the framework that is not variant day by day, which is very helpful in my prototyping activity as an architect trying to assess Apache Spark, Great Expectations, and Vault-based solutions versus those proposed by clients like TIBCO or Informatica.
Mortaza Ghahramani - PeerSpot reviewer
Senior Java Software Engineer at eDreams ODIGEO
Cloud-friendly but has problems with configuration
I primarily use Jakarta EE as a business enterprise product Jakarta EE's best features include REST services, configuration, and persistent facilities. It's also incredibly cloud friendly. Jakarta EE's configuration could be simpler, which would make it more useful as a developer experience.…

Quotes from Members

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

Pros

"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 distribution of tasks, like the seamless map-reduce functionality, is quite impressive."
"The solution is scalable."
"With Hadoop-related technologies, we can distribute the workload with multiple commodity hardware."
"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."
"The solution has been very stable."
"The product’s most valuable features are lazy evaluation and workload distribution."
"The most valuable feature of Apache Spark is its memory processing because it processes data over RAM rather than disk, which is much more efficient and fast."
"Configuring, monitoring, and ensuring observability is a straightforward process."
"The feature that allows a variation of work space based on the application being used."
"Jakarta EE's best features include REST services, configuration, and persistent facilities. It's also incredibly cloud friendly."
 

Cons

"One limitation is that not all machine learning libraries and models support it."
"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."
"There were some problems related to the product's compatibility with a few Python libraries."
"It would be beneficial to enhance Spark's capabilities by incorporating models that utilize features not traditionally present in its framework."
"Needs to provide an internal schedule to schedule spark jobs with monitoring capability."
"At the initial stage, the product provides no container logs to check the activity."
"Spark could be improved by adding support for other open-source storage layers than Delta Lake."
"They could improve the issues related to programming language for the platform."
"It would be great if we could have a UI-based approach or easily include the specific dependencies we need."
"All the customization and plugins can make the interface too slow and heavy in some situations."
"Jakarta EE's configuration could be simpler, which would make it more useful as a developer experience."
 

Pricing and Cost Advice

"Apache Spark is open-source. You have to pay only when you use any bundled product, such as Cloudera."
"We are using the free version of the solution."
"Spark is an open-source solution, so there are no licensing costs."
"Apache Spark is an open-source tool."
"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."
"Considering the product version used in my company, I feel that the tool is not costly since the product is available for free."
"The product is expensive, considering the setup."
"It is an open-source solution, it is free of charge."
"I would rate Jakarta EE's pricing seven out of ten."
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Top Industries

By visitors reading reviews
Financial Services Firm
25%
Computer Software Company
8%
Manufacturing Company
7%
University
6%
Financial Services Firm
13%
Computer Software Company
13%
Comms Service Provider
10%
University
9%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business28
Midsize Enterprise15
Large Enterprise32
No data available
 

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?
Apache Spark is open-source, so it doesn't incur any charges.
What needs improvement with Apache Spark?
Areas for improvement are obviously ease of use considerations, though there are limitations in doing that, so while various tools like Informatica, TIBCO, or Talend offer specific aspects, licensi...
Which is better - Spring Boot or Jakarta EE?
Our organization ran comparison tests to determine whether the Spring Boot or Jakarta EE application creation software was the better fit for us. We decided to go with Spring Boot. Spring Boot offe...
 

Comparisons

 

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
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Find out what your peers are saying about Apache Spark vs. Jakarta EE and other solutions. Updated: December 2025.
881,707 professionals have used our research since 2012.