Apache Spark vs Spring MVC comparison

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

Download the complete report

Helped 867,445 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

"It's easy to prepare parallelism in Spark, run the solution with specific parameters, and get good performance."

"The most crucial feature for us is the streaming capability. It serves as a fundamental aspect that allows us to exert control over our operations."

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

"The scalability has been the most valuable aspect of the solution."

"The tool's most valuable feature is its speed and efficiency. It's much faster than other tools and excels in parallel data processing. Unlike tools like Python or JavaScript, which may struggle with parallel processing, it allows us to handle large volumes of data with more power easily."

"The deployment of the product is easy."

"I like that it can handle multiple tasks parallelly. I also like the automation feature. JavaScript also helps with the parallel streaming of the library."

"I feel the streaming is its best feature."

More Apache Spark pros

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

"The interface is the solution's most valuable aspect."

"Spring has a speedy development process with a lightweight framework."

"The most valuable feature is simplicity."

"Spring gives you the opportunity to develop architecture in the simplest way possible. It comes with everything you would want in terms of security. If you want to access the database, you have the ability to do that."

"It provides the best documentation for technical support."

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

"The solution can scale."

More Spring MVC pros

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."

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

"If you have a Spark session in the background, sometimes it's very hard to kill these sessions because of D allocation."

"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."

"It requires overcoming a significant learning curve due to its robust and feature-rich nature."

"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."

"We've had problems using a Python process to try to access something in a large volume of data. It crashes if somebody gives me the wrong code because it cannot handle a large volume of data."

"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."

More Apache Spark cons

"The initial setup could be more straightforward."

"I have recently had problems with the changes that were made using Spring Security."

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

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

"It could provide faster performance."

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

"I saw some error messages coming up when they were getting problems actually viewing all the reports."

"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."

More Spring MVC cons

Pricing and Cost Advice

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

"Apache Spark is an open-source tool."

"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."

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

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

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

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

More Apache Spark pricing and cost advice

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

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

"It is an open-source solution."

"The solution is free."

"Spring MVC is open source and free."

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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.

VMware

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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