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."Spark can handle small to huge data and is suitable for any size of company."
"With Hadoop-related technologies, we can distribute the workload with multiple commodity hardware."
"The most valuable feature of Apache Spark is its ease of use."
"The distribution of tasks, like the seamless map-reduce functionality, is quite impressive."
"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."
"There's a lot of functionality."
"It provides a scalable machine learning library."
"This solution provides a clear and convenient syntax for our analytical tasks."
"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."
"Spring MVC is fast and reliable."
"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."
"Spring has a speedy development process with a lightweight framework."
"We have found Spring is easy to use and learn."
"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."
"The solution can scale."
"It should support more programming languages."
"We use big data manager but we cannot use it as conditional data so whenever we're trying to fetch the data, it takes a bit of time."
"They could improve the issues related to programming language for the platform."
"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."
"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."
"When you first start using this solution, it is common to run into memory errors when you are dealing with large amounts of data."
"There were some problems related to the product's compatibility with a few Python libraries."
"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."
"Spring IDE needs some work and improvement. We have faced many issues when adding third-party Eclipse plugins."
"The initial setup could be more straightforward."
"I saw some error messages coming up when they were getting problems actually viewing all the reports."
"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."
"We would like the deployment of this solution to be easier as, at present, it is quite complicated."
"It could provide faster performance."
"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."
"Spring MVC could improve the integration with DevOps and other applications."
Apache Spark is ranked 2nd in Java Frameworks with 60 reviews while Spring MVC is ranked 3rd in Java Frameworks with 16 reviews. Apache Spark is rated 8.4, while Spring MVC is rated 8.4. The top reviewer of Apache Spark writes "Reliable, able to expand, and handle large amounts of data well". On the other hand, the top reviewer of Spring MVC writes "Straightforward setup, highly stable, and useful online support". Apache Spark is most compared with Spring Boot, AWS Batch, Spark SQL, SAP HANA and Cloudera Distribution for Hadoop, whereas Spring MVC is most compared with Jakarta EE, Spring Boot, Open Liberty, Oracle Application Development Framework and Vert.x. See our Apache Spark vs. Spring MVC report.
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