Javalin vs Apache Spark: What are the differences?
What is Javalin? Simple REST APIs for Java and Kotlin. Javalin started as a fork of the Spark framework but quickly turned into a ground-up rewrite influenced by express.js. Both of these web frameworks are inspired by the modern micro web framework grandfather: Sinatra, so if you’re coming from Ruby then Javalin shouldn’t feel too unfamiliar.
What is Apache Spark? Fast and general engine for large-scale data processing. Spark is a fast and general processing engine compatible with Hadoop data. It can run in Hadoop clusters through YARN or Spark's standalone mode, and it can process data in HDFS, HBase, Cassandra, Hive, and any Hadoop InputFormat. It is designed to perform both batch processing (similar to MapReduce) and new workloads like streaming, interactive queries, and machine learning.
Javalin can be classified as a tool in the "Microframeworks (Backend)" category, while Apache Spark is grouped under "Big Data Tools".
Javalin and Apache Spark are both open source tools. It seems that Apache Spark with 22.5K GitHub stars and 19.4K forks on GitHub has more adoption than Javalin with 3.06K GitHub stars and 257 GitHub forks.
What is Javalin?
What is Apache Spark?
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Spark is good at parallel data processing management. We wrote a neat program to handle the TBs data we get everyday.