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 8.4% mindshare in JF, compared to Broadcom’s 3.8% 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

3,754 Views
1,351 Comparison Views

90% willing to recommend

Spring MVC

Read 15 Spring MVC reviews

815 Views
750 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: September 2025).

Buyer's Guide

Apache Spark vs. Spring MVC

September 2025

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Helped 872,778 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

6.9

Number of Reviews

Ranking in other categories

Hadoop (2nd), Compute Service (4th)

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 October 2025, in the Java Frameworks category, the mindshare of Apache Spark is 8.4%, up from 7.8% compared to the previous year. The mindshare of Spring MVC is 3.8%, up from 3.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Java Frameworks Market Share Distribution
Product	Market Share (%)
Apache Spark	8.4%
Spring MVC	3.8%
Other	87.8%

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

"The distribution of tasks, like the seamless map-reduce functionality, is quite impressive."

"The data processing framework is good."

"Now, when we're tackling sentiment analysis using NLP technologies, we deal with unstructured data—customer chats, feedback on promotions or demos, and even media like images, audio, and video files. For processing such data, we rely on PySpark. Beneath the surface, Spark functions as a compute engine with in-memory processing capabilities, enhancing performance through features like broadcasting and caching. It's become a crucial tool, widely adopted by 90% of companies for a decade or more."

"One of the key features is that Apache Spark is a distributed computing framework. You can help multiple slaves and distribute the workload between them."

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

"I appreciate everything about the solution, not just one or two specific features. The solution is highly stable. I rate it a perfect ten. The solution is highly scalable. I rate it a perfect ten. The initial setup was straightforward. I recommend using the solution. Overall, I rate the solution a perfect ten."

"ETL and streaming capabilities."

More Apache Spark pros

"We appreciate that this product is really easy to integrate with third-party UI services."

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

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

"Dependency Injection is one of the major features which makes our life easier using Spring. It is well documented and has active communities, which provide us enormous help."

"It provides the best documentation for technical support."

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

"Spring MVC is fast and reliable."

More Spring MVC pros

Cons

"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."

"Apache Spark should add some resource management improvements to the algorithms."

"Stream processing needs to be developed more in Spark. I have used Flink previously. Flink is better than Spark at stream processing."

"The setup I worked on was really complex."

"From my perspective, the only thing that needs improvement is the interface, as it was not easily understandable."

"Apache Spark lacks geospatial data."

"Apache Spark could potentially improve in terms of user-friendliness, particularly for individuals with a SQL background. While it's suitable for those with programming knowledge, making it more accessible to those without extensive programming skills could be beneficial."

"Needs to provide an internal schedule to schedule spark jobs with monitoring capability."

More Apache Spark cons

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

"The initial setup could be more straightforward."

"The solution could be simplified quite a bit. It's unnecessarily complicated in some areas."

"It could provide faster performance."

"The documentation for Spring MVC could improve."

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

"The newer versions of Spring MVC have released a lot of features that we are not using right now because, in many cases, we are limited to running older versions. As such, it would be nice if Spring were to improve support for upgrading to newer versions, especially for legacy applications."

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

More Spring MVC cons

Pricing and Cost Advice

"Considering the product version used in my company, I feel that the tool is not costly since the product is available for free."

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

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

"Apache Spark is an open-source solution, and there is no cost involved in deploying the solution on-premises."

"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."

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

"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."

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

More Apache Spark pricing and cost advice

"The solution is free."

"It is an open-source solution."

"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."

"Spring MVC is open source and free."

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Top Industries

By visitors reading reviews

Financial Services Firm

27%

Computer Software Company

11%

Comms Service Provider

Manufacturing Company

Financial Services Firm

23%

Computer Software Company

16%

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 22% of the time

AWS Batch vs Apache Spark

Compared 9% of the time

SAP HANA vs Apache Spark

Compared 9% of the time

AWS Lambda vs Apache Spark

Compared 8% of the time

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Jakarta EE vs Spring MVC

Compared 36% of the time

Amazon Corretto vs Spring MVC

Compared 14% of the time

Oracle Application Development Framework vs Spring MVC

Compared 13% of the time

IBM Open Liberty vs Spring MVC

Compared 12% of the time

Spring Boot vs Spring MVC

Compared 11% of the time

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Product Reports

Buyer's Guide

Apache Spark

October 2025

Download Apache Spark product report

Buyer's Guide

Spring MVC

October 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

September 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: September 2025.

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