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."We use it for ETL purposes as well as for implementing the full transformation pipelines."
"Spark helps us reduce startup time for our customers and gives a very high ROI in the medium term."
"The most valuable feature of Apache Spark is its ease of use."
"The product’s most valuable features are lazy evaluation and workload distribution."
"The most valuable feature is the Fault Tolerance and easy binding with other processes like Machine Learning, graph analytics."
"The data processing framework is good."
"Spark can handle small to huge data and is suitable for any size of company."
"The memory processing engine is the solution's most valuable aspect. It processes everything extremely fast, and it's in the cluster itself. It acts as a memory engine and is very effective in processing data correctly."
"We have found Spring is easy to use and learn."
"Spring has a speedy development process with a lightweight framework."
"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."
"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 interface is the solution's most valuable aspect."
"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."
"Spring MVC is fast and reliable."
"When you want to extract data from your HDFS and other sources then it is kind of tricky because you have to connect with those sources."
"The initial setup was not easy."
"It's not easy to install."
"The solution must improve its performance."
"There could be enhancements in optimization techniques, as there are some limitations in this area that could be addressed to further refine Spark's performance."
"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."
"Its UI can be better. Maintaining the history server is a little cumbersome, and it should be improved. I had issues while looking at the historical tags, which sometimes created problems. You have to separately create a history server and run it. Such things can be made easier. Instead of separately installing the history server, it can be made a part of the whole setup so that whenever you set it up, it becomes available."
"Apache Spark should add some resource management improvements to the algorithms."
"The initial setup could be more straightforward."
"We would like the deployment of this solution to be easier as, at present, it is quite complicated."
"It could provide faster performance."
"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."
"I saw some error messages coming up when they were getting problems actually viewing all the reports."
"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."
"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."
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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