Free Online Certification Courses – Learn Today. Lead Tomorrow. › Forums › Apache Hadoop › What is the difference between Cassandra and Hadoop?
- This topic has 2 replies, 1 voice, and was last updated 5 years, 6 months ago by DataFlair Team.
-
AuthorPosts
-
-
September 20, 2018 at 12:27 pm #4847DataFlair TeamSpectator
What is the difference between Cassandra and Hadoop?
-
September 20, 2018 at 12:27 pm #4849DataFlair TeamSpectator
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.
-
September 20, 2018 at 12:28 pm #4850DataFlair TeamSpectator
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
-
-
AuthorPosts
- You must be logged in to reply to this topic.