KSQL vs Apache Spark: What are the differences?
What is KSQL? Open Source Streaming SQL for Apache Kafka. KSQL is an open source streaming SQL engine for Apache Kafka. It provides a simple and completely interactive SQL interface for stream processing on Kafka; no need to write code in a programming language such as Java or Python. KSQL is open-source (Apache 2.0 licensed), distributed, scalable, reliable, and real-time.
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.
KSQL belongs to "Stream Processing" category of the tech stack, while Apache Spark can be primarily classified under "Big Data Tools".
KSQL and Apache Spark are both open source tools. It seems that Apache Spark with 22.9K GitHub stars and 19.7K forks on GitHub has more adoption than KSQL with 2.37K GitHub stars and 493 GitHub forks.
What is KSQL?
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.