Question

What are some disadvantages or demerits of using Apache Spark?

Answer 1

Following is the list of some disadvantages or demerits of using Apache Spark:

• Apache Spark requires more storage space than Hadoop and MapReduce, so that it may create some problems.
• Apache Spark consumes a huge amount of data as compared to Hadoop.
• Apache Spark requires more attentiveness because developers need to be careful while running their applications in Spark.
• Spark runs on multiple clusters on different nodes instead of running everything on a single node. So, the work is distributed over multiple clusters.
• The "in-memory" capability of Apache Spark makes it a more costly way for processing big data.