CODEWITHSUNDEEP
apache-sparkcassandrahbaseapache-spark-sql
Steven Park
Steven Park

Reputation: 377

Is Cassandra comparable to HBase?

HBase is known for being a key-value store and random reads with .get and .put functions based on the key. Is Cassandra a better choice for suiting a requirement of key-value store? Can it support random reads based on key? If so, in which conditions should I choose Cassandra over HBase in a Spark Streaming application?

Upvotes: 3

Views: 383

Answers (1)

Ram Ghadiyaram
Ram Ghadiyaram

Reputation: 29165

Cassandra a better choice for suiting a requirement of key-value store?

Yes its one of the good choice.

  • Cassandra has decentralized architecture. Any node can perform any operation. It provides AP(Availability,Partition-Tolerance) from CAP theorem.

  • Eventually consistent

Can it support random reads based on key?

Yes.

If so, in which conditions should I choose Cassandra over HBase in a Spark Streaming application?

Both HBASE and CASSANDRA can be used for streaming applications. The natural choice for CASSANDRA is its high availability..

Question in title : Is Cassandra comparable to HBase?

see below for more details...

enter image description here

CAP_theorem

  • Consistency (all nodes see the same data at the same time)
  • Availability (a guarantee that every request receives a response about whether it was successful or failed)
  • Partition tolerance (the system continues to operate despite arbitrary message loss or failure of part of the system)

Conclusion : CASSANDRA supports AP, if you are looking for that you can go ahead with CASSANDRA

Note : As per CAP theorem, a distributed system CANT satisfy all three of these guarantees at the same time.

Upvotes: 2

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