We performed a comparison between Apache Spark and Jakarta EE 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."DataFrame: Spark SQL gives the leverage to create applications more easily and with less coding effort."
"The product’s most valuable feature is the SQL tool. It enables us to create a database and publish it."
"The data processing framework is good."
"One of Apache Spark's most valuable features is that it supports in-memory processing, the execution of jobs compared to traditional tools is very fast."
"The product’s most valuable features are lazy evaluation and workload distribution."
"The good performance. The nice graphical management console. The long list of ML algorithms."
"The fault tolerant feature is provided."
"The most valuable feature of Apache Spark is its memory processing because it processes data over RAM rather than disk, which is much more efficient and fast."
"Configuring, monitoring, and ensuring observability is a straightforward process."
"The feature that allows a variation of work space based on the application being used."
"Jakarta EE's best features include REST services, configuration, and persistent facilities. It's also incredibly cloud friendly."
"We are building our own queries on Spark, and it can be improved in terms of query handling."
"The solution needs to optimize shuffling between workers."
"Stability in terms of API (things were difficult, when transitioning from RDD to DataFrames, then to DataSet)."
"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."
"Dynamic DataFrame options are not yet available."
"When using Spark, users may need to write their own parallelization logic, which requires additional effort and expertise."
"The management tools could use improvement. Some of the debugging tools need some work as well. They need to be more descriptive."
"Spark could be improved by adding support for other open-source storage layers than Delta Lake."
"Jakarta EE's configuration could be simpler, which would make it more useful as a developer experience."
"All the customization and plugins can make the interface too slow and heavy in some situations."
"It would be great if we could have a UI-based approach or easily include the specific dependencies we need."
Apache Spark is ranked 2nd in Java Frameworks with 60 reviews while Jakarta EE is ranked 4th in Java Frameworks with 3 reviews. Apache Spark is rated 8.4, while Jakarta EE is rated 7.4. 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 Jakarta EE writes "A robust enterprise Java capabilities with complex configuration involved, making it a powerful choice for scalable applications while requiring a learning curve". Apache Spark is most compared with Spring Boot, AWS Batch, Spark SQL, SAP HANA and AWS Fargate, whereas Jakarta EE is most compared with Spring Boot, Spring MVC, Amazon Corretto, Eclipse MicroProfile and Oracle Application Development Framework. See our Apache Spark vs. Jakarta EE report.
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