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 8.6, while VMware is ranked #5 with an average rating of 8.8. Apache holds a 7.9% mindshare in JF, compared to VMware’s 3.4% mindshare. Additionally, 90% of Apache users are willing to recommend the solution, compared to 89% of VMware users who would recommend it.

Apache Spark

Read 66 Apache Spark reviews

1,939 Views
1,439 Comparison Views

90% willing to recommend

Spring MVC

Read 16 Spring MVC reviews

917 Views
513 Comparison Views

89% 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: June 2025).

Buyer's Guide

Apache Spark vs. Spring MVC

June 2025

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Helped 856,873 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

7.4

Number of Reviews

Ranking in other categories

Hadoop (1st), Compute Service (4th)

Spring MVC

Ranking in Java Frameworks

5th

Average Rating

8.4

Reviews Sentiment

5.9

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of June 2025, in the Java Frameworks category, the mindshare of Apache Spark is 7.9%, down from 8.2% compared to the previous year. The mindshare of Spring MVC is 3.4%, up from 3.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Java Frameworks

Featured Reviews

Dunstan Matekenya

Data Scientist at a financial services firm with 10,001+ employees

Open-source solution for data processing with portability

Apache Spark is known for its ease of use. Compared to other available data processing frameworks, it is user-friendly. While many choices now exist, Spark remains easy to use, particularly with Python. You can utilize familiar programming styles similar to Pandas in Python, including object-oriented programming. Another advantage is its portability. I can prototype and perform some initial tasks on my laptop using Spark without needing to be on Databricks or any cloud platform. I can transfer it to Databricks or other platforms, such as AWS. This flexibility allows me to improve processing even on my laptop. For instance, if I'm processing large amounts of data and find my laptop becoming slow, I can quickly switch to Spark. It handles small and large datasets efficiently, making it a versatile tool for various data processing needs.

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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.

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Quotes from Members

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

Pros

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

"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."

"We use Spark to process data from different data sources."

"The most significant advantage of Spark 3.0 is its support for DataFrame UDF Pandas UDF features."

"It is highly scalable, allowing you to efficiently work with extensive datasets that might be problematic to handle using traditional tools that are memory-constrained."

"The main feature that we find valuable is that it is very fast."

"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."

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

More Apache Spark pros

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

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

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

"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."

"The solution can scale."

"It provides the best documentation for technical support."

"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."

More Spring MVC pros

Cons

"It would be beneficial to enhance Spark's capabilities by incorporating models that utilize features not traditionally present in its framework."

"There were some problems related to the product's compatibility with a few Python libraries."

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

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

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

"The management tools could use improvement. Some of the debugging tools need some work as well. They need to be more descriptive."

"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."

"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."

More Apache Spark cons

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

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

"It could provide faster performance."

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

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

"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."

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

"The initial setup could be more straightforward."

More Spring MVC cons

Pricing and Cost Advice

"Apache Spark is an expensive solution."

"We are using the free version of the solution."

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

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

"The product is expensive, considering the setup."

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

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

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

More Apache Spark pricing and cost advice

"Spring MVC is open source and free."

"It is an affordable solution."

"It is an open-source solution."

"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."

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Top Industries

By visitors reading reviews

Financial Services Firm

27%

Computer Software Company

13%

Manufacturing Company

Comms Service Provider

Financial Services Firm

25%

Computer Software Company

23%

Comms Service Provider

Government

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.

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?

There is complexity when it comes to understanding the whole ecosystem, especially for beginners. I find it quite complex to understand how a Spark job is initiated, the roles of driver nodes, work...

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

Spring Boot vs Apache Spark

Compared 27% of the time

AWS Batch vs Apache Spark

Compared 12% of the time

SAP HANA vs Apache Spark

Compared 10% of the time

Spark SQL vs Apache Spark

Compared 7% of the time

Cloudera Distribution for Hadoop vs Apache Spark

Compared 7% of the time

More Apache Spark Competitors

Jakarta EE vs Spring MVC

Compared 51% of the time

Spring Boot vs Spring MVC

Compared 14% of the time

IBM Open Liberty vs Spring MVC

Compared 13% of the time

Oracle Application Development Framework vs Spring MVC

Compared 12% of the time

More Spring MVC Competitors

Product Reports

Buyer's Guide

Apache Spark

June 2025

Download Apache Spark product report

Buyer's Guide

Spring MVC

May 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

June 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: June 2025.

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