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Apache Spark vs Spring MVC 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
7.4
Number of Reviews
66
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
16
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of July 2025, in the Java Frameworks category, the mindshare of Apache Spark is 7.9%, down from 8.3% compared to the previous year. The mindshare of Spring MVC is 3.4%, up from 3.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Java Frameworks
 

Featured Reviews

Dunstan Matekenya - PeerSpot reviewer
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.
Arkabrata  Ghosh - PeerSpot reviewer
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.

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."
"Provides a lot of good documentation compared to other solutions."
"The good performance. The nice graphical management console. The long list of ML algorithms."
"Apache Spark is known for its ease of use. Compared to other available data processing frameworks, it is user-friendly."
"The most valuable feature is the Fault Tolerance and easy binding with other processes like Machine Learning, graph analytics."
"The solution has been very stable."
"The product's deployment phase is easy."
"The solution is scalable."
"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."
"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 most valuable feature is simplicity."
"Spring MVC is fast and reliable."
"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."
"Spring has a speedy development process with a lightweight framework."
"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."
 

Cons

"Needs to provide an internal schedule to schedule spark jobs with monitoring capability."
"It would be beneficial to enhance Spark's capabilities by incorporating models that utilize features not traditionally present in its framework."
"Apache Spark lacks geospatial data."
"I would like to see integration with data science platforms to optimize the processing capability for these tasks."
"The solution must improve its performance."
"It requires overcoming a significant learning curve due to its robust and feature-rich nature."
"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."
"They could improve the issues related to programming language for the platform."
"I saw some error messages coming up when they were getting problems actually viewing all the reports."
"We would like the deployment of this solution to be easier as, at present, it is quite complicated."
"The initial setup could be more straightforward."
"Spring MVC could improve the integration with DevOps and other applications."
"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."
"Adding more modules takes about 10 to 15 minutes each. It would be nice if they could reduce that part. The deployment time is a little high."
"The solution could be simplified quite a bit. It's unnecessarily complicated in some areas."
 

Pricing and Cost Advice

"On the cloud model can be expensive as it requires substantial resources for implementation, covering on-premises hardware, memory, and licensing."
"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."
"It is an open-source platform. We do not pay for its subscription."
"We are using the free version of the solution."
"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."
"They provide an open-source license for the on-premise version."
"It is quite expensive. In fact, it accounts for almost 50% of the cost of our entire project."
"Apache Spark is an open-source tool."
"Spring MVC is open source and free."
"It is an open-source solution."
"The solution is free."
"We are using the open-source version of the solution."
"It is an affordable solution."
"This is an open-source solution, so there are no license costs involved with using it."
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Top Industries

By visitors reading reviews
Financial Services Firm
27%
Computer Software Company
12%
Manufacturing Company
7%
Comms Service Provider
6%
Financial Services Firm
26%
Computer Software Company
20%
Comms Service Provider
7%
Performing Arts
5%
 

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.
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?
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...
What do you like most about Spring MVC?
The best feature of Spring MVC is its auto-configuration capabilities.
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.
 

Comparisons

 

Also Known As

No data available
Spring by Pivotal, Spring, Spring Framework
 

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
EMC, Aridhia, CoreLogic, CenturyLink, Humana, Purdue University, Tampon Run, ArtsPool, Charity Water, Center for ReSource Conservation, Manos Teatrales
Find out what your peers are saying about Apache Spark vs. Spring MVC and other solutions. Updated: June 2025.
861,170 professionals have used our research since 2012.