Question

Illustrate some demerits of using Spark.

a. No support for real-time processing
b. Less number of algorithms
c. Slow batch processing
d. Limited community support

Answer 1

Some demerits of using Spark include no support for real-time processing, less number of algorithms, slow batch processing, and limited community support.

Step-by-step explanation:

Some demerits of using Spark include:

1. No support for real-time processing: Spark is primarily designed for batch processing, so it does not provide native support for real-time processing of data.
2. Less number of algorithms: Compared to other data processing platforms, Spark has a relatively smaller number of built-in algorithms and libraries.
3. Slow batch processing: Although Spark is known for its speed, its batch processing capabilities may not be as fast as specialized tools and frameworks for specific use cases.
4. Limited community support: As compared to widely used data processing frameworks like Hadoop, Spark may have a smaller community of users and developers.