Cassandra vs Hbase

                               Hbase Vs Cassandra:




Historically, both HBase and Cassandra have a lot in common. HBase was created in 2007 at Powerset (later acquired by Microsoft) and was initially part of Hadoop and then became a Top-Level-Project. Cassandra originated at Facebook in 2007, was open sourced and then incubated at Apache, and is nowadays also a Top-Level-Project. Both HBase and Cassandra are wide-column key-value datastores that excel at ingesting and serving huge volumes of data while being horizontally scalable, robust and providing elasticity.

There are philosophical differences in the architectures: Cassandra borrows many design elements from Amazon's DynamoDB system, has an eventual consistency model and is write-optimized while HBase is a Google BigTable clone with read-optimization and strong consistency. An interesting proof point for the superiority of HBase is the fact that Facebook, the creator of Cassandra, replaced Cassandra with HBase for their internal use.

From an application developer's point of view, HBase is preferable as it offers strong consistency, making life easier. One of the misconceptions about eventual consistency is that it improves write speed: given a sustained write traffic, latency is affected and one ends up paying the "eventual consistency tax" without getting its benefits.

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