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Is Cassandra comparable to HBase?

HBase is known as keystore and random read with key-based .get and .put functions. Is Cassandra the best choice for meeting key storage requirements? Can it support key-based random reads? If so, under what conditions should I choose Cassandra over HBase in a Spark Streaming application?

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Cassandra - The Best Choice To Meet Key Value Store Requirements?

Yes, this is one of the good options.

  • Cassandra has a decentralized architecture. Any node can perform any operation. It provides AP (accessibility, separation-tolerance) by the CAP theorem.

  • With time

Can it support key-based random reads?

Yes.

If so, under what conditions should I choose Cassandra over HBase in Spark Streaming App?

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



Title question: Is Cassandra comparable to HBase?

see below for more details ...

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CAP_theorem

  • Consistency (all nodes see the same data at the same time)
  • Availability (ensuring that every request gets a response as to whether it was successful or not)
  • Separation tolerance (the system continues to operate despite an arbitrary loss of message or a failure of part of the system)

Conclusion : CASSANDRA supports AP if you are looking for you can continue with CASSANDRA

Note. According to the CAP theorem, a distributed CANT system satisfies all three of these guarantees at the same time.

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