Apache Spark vs Spring MVC comparison

Apache and Broadcom are both solutions in the Java Frameworks category. Apache is ranked #2 with an average rating of 8.8, while Broadcom is ranked #4 with an average rating of 9.5. Apache holds a 8.3% mindshare in JF, compared to Broadcom’s 3.7% mindshare. Additionally, 90% of Apache users are willing to recommend the solution, compared to 88% of Broadcom users who would recommend it.

Apache Spark

Read 67 Apache Spark reviews

4,144 Views
1,492 Comparison Views

90% willing to recommend

Spring MVC

Read 15 Spring MVC reviews

854 Views
786 Comparison Views

88% willing to recommend

Apache Spark

Spring MVC

Comparison Buyer's Guide

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Executive Summary

We performed a comparison between Apache Spark and Spring MVC 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. Spring MVC Report (Updated: July 2025).

Buyer's Guide

Apache Spark vs. Spring MVC

July 2025

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Helped 867,676 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)

Spring MVC

Ranking in Java Frameworks

4th

Average Rating

8.4

Reviews Sentiment

5.9

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 Spring MVC is 3.7%, up from 3.0% 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%
Spring MVC	3.7%
Other	88.0%

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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Arkabrata Ghosh

Java developer at Marlabs Inc.

A scalable tool with great auto-configuration capabilities

The best feature of Spring MVC is its auto-configuration capabilities. A user need not configure anything in the product as it offers configuration files to set profiling and guide users with what they need to connect for development, staging, or production. The auto-configuration is one of the best components of the solution.

Read full review

Quotes from Members

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

Pros

"The most valuable feature of Apache Spark is its ease of use."

"DataFrame: Spark SQL gives the leverage to create applications more easily and with less coding effort."

"Apache Spark is known for its ease of use. Compared to other available data processing frameworks, it is user-friendly."

"This solution provides a clear and convenient syntax for our analytical tasks."

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

"Provides a lot of good documentation compared to other solutions."

"The data processing framework is good."

"We use it for ETL purposes as well as for implementing the full transformation pipelines."

More Apache Spark pros

"The most valuable features of Spring MVC are the modules, such as Spring Admin. All the Spring solutions work well together and are simple to maintain, such as the load balancing on the client side."

"The most valuable feature is simplicity."

"The most valuable feature of Spring MVC is the configuration, such as WAF."

"When we shifted from our legacy frameworks to the Spring framework, we discovered that Spring definitely made our development easier. One good example is that there is a lot of boiler plate code available that you don't have to write from scratch, making the development of web applications a much simpler process."

"We have found Spring is easy to use and learn."

"The best feature of Spring MVC is its auto-configuration capabilities."

"The solution is open-source and free to use."

"It provides the best documentation for technical support."

More Spring MVC pros

Cons

"Apache Spark's GUI and scalability could be improved."

"Apache Spark can improve the use case scenarios from the website. There is not any information on how you can use the solution across the relational databases toward multiple databases."

"At the initial stage, the product provides no container logs to check the activity."

"The main concern is the overhead of Java when distributed processing is not necessary."

"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 could be enhancements in optimization techniques, as there are some limitations in this area that could be addressed to further refine Spark's performance."

"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."

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

More Apache Spark cons

"We would like the deployment of this solution to be easier as, at present, it is quite complicated."

"I expect the solution to offer and include a lot of packages so that it can be configured more easily or the speed level increases, thereby helping it overcome its shortcomings."

"Spring IDE needs some work and improvement. We have faced many issues when adding third-party Eclipse plugins."

"The documentation for Spring MVC could improve."

"Spring MVC could improve the integration with DevOps and other applications."

"The initial setup could be more straightforward."

"It can be difficult for a basic user to understand the concepts in this solution, such as inversion of control."

"It could provide faster performance."

More Spring MVC cons

Pricing and Cost Advice

"It is an open-source solution, it is free of charge."

"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 open-source tool."

"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."

"On the cloud model can be expensive as it requires substantial resources for implementation, covering on-premises hardware, memory, and licensing."

"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."

"They provide an open-source license for the on-premise version."

"It is an open-source platform. We do not pay for its subscription."

More Apache Spark pricing and cost advice

"Spring MVC is open source and free."

"The solution is free."

"This is an open-source solution, so there are no license costs involved with using it."

"We are using the open-source version of the solution."

"It is an open-source solution."

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Top Industries

By visitors reading reviews

Financial Services Firm

26%

Computer Software Company

11%

Manufacturing Company

Comms Service Provider

Financial Services Firm

24%

Computer Software Company

17%

Comms Service Provider

Manufacturing Company

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	5
Midsize Enterprise	2
Large Enterprise	11

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, ...

See all answers

What do you like most about Spring MVC?

The best feature of Spring MVC is its auto-configuration capabilities.

See all answers

What is your experience regarding pricing and costs for Spring MVC?

The solution is free.

See all answers

What needs improvement with Spring MVC?

In the future, I expect the solution to offer and include a lot of packages so that it can be configured more easily or the speed level increases, thereby helping it overcome its shortcomings.

See all answers

Comparisons

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Compared 24% of the time

AWS Batch vs Apache Spark

Compared 10% of the time

SAP HANA vs Apache Spark

Compared 10% of the time

AWS Lambda vs Apache Spark

Compared 7% of the time

Amazon Corretto vs Apache Spark

Compared 2% of the time

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Jakarta EE vs Spring MVC

Compared 39% of the time

Oracle Application Development Framework vs Spring MVC

Compared 13% of the time

IBM Open Liberty vs Spring MVC

Compared 13% of the time

Spring Boot vs Spring MVC

Compared 12% of the time

Amazon Corretto vs Spring MVC

Compared 9% of the time

More Spring MVC Competitors

Product Reports

Buyer's Guide

Apache Spark

September 2025

Download Apache Spark product report

Buyer's Guide

Spring MVC

August 2025

Download Spring MVC product report

Also Known As

No data available

Spring by Pivotal, Spring, Spring Framework

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

Spring MVC is a Java web framework built on the Servlet API and has been included in the Spring Framework from the very beginning. It handles web applications that use server-rendered HTML user interface, REST APIs, and much more. The documentation includes Spring MVC, View Technologies, CORS Support, and WebSocket Support.

For baseline information and compatibility with Servlet container and Java EE version ranges please visit the Spring Framework Wiki.

Broadcom

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

EMC, Aridhia, CoreLogic, CenturyLink, Humana, Purdue University, Tampon Run, ArtsPool, Charity Water, Center for ReSource Conservation, Manos Teatrales

Buyer's Guide

Apache Spark vs. Spring MVC

July 2025

Free Report: Apache Spark vs. Spring MVC

Find out what your peers are saying about Apache Spark vs. Spring MVC and other solutions. Updated: July 2025.

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