Question

Illustrate some demerits of using Spark.

a. No support for real-time processing
b. Limited data integration options
c. Complex installation process
d. Inefficient memory management

Answer 1

Spark has several limitations, including the lack of support for real-time processing, limited data integration options, complex installation process, and inefficient memory management.

Step-by-step explanation:

Spark has several demerits or limitations:

1. No support for real-time processing: Spark is not designed for real-time processing and may not be the best choice for applications that require instantaneous analysis of streaming data.
2. Limited data integration options: Spark may have limited compatibility with certain data sources or formats, making it challenging to integrate data from various systems or platforms.
3. Complex installation process: The installation process for Spark can be complex and may require additional dependencies or configurations, which can make it time-consuming and require technical expertise to set up.
4. Inefficient memory management: Spark's memory management can be inefficient and may lead to performance bottlenecks or out-of-memory errors when working with large-scale data.