What is the difference between Cassandra and Hadoop?

Hadoop is an eco system which consists of HBase No SQL DB, HDFS, Map Reduce framework etc. Cassandra on the other hand is a No SQL DataBase.

Hadoop accepts data in any format-structured,semi-structured or unstructured where as Cassandra requires a certain structure.

Feature Wise Comparison of Hadoop vs Cassandra

So, start the comparison between Hadoop vs Cassandra:

a. Supported format
Apache Hadoop
It supports various types of data like – structured, semi-structured, unstructured or images.

Cassandra
Instead of Images, it supports almost all structured, semi-structured, unstructured datasets.

b. Usage
Apache Hadoop
Especially for batch processing of data.

Cassandra
Whereas, for real-time processing.

c. Work
Apache Hadoop
Since it is a base for other analytical components thats why it handles big data.

Cassandra
Especially, on top HDFS.

d. CAP Parameters(consistency, availability and partition tolerance )
Apache Hadoop
It helps with the consistency as well as partition tolerance.

Cassandra
helps with availability and partition tolerance.

e. Communication
Apache Hadoop
It uses RPC/TCP and UDP for it.

Cassandra
For communication between nodes, it uses gossip protocol.

To learn more differences in detail, follow the link: Hadoop vs Cassandra 2018: Feature Wise Comparison