Datastax Enterprise vs HBase: What are the differences?
Developers describe Datastax Enterprise as "A Cloud Database Built on Apache Cassandra™". It delivers a wide range of cloud data management, deployment and development capabilities. For mixed models and complex workloads you can choose the Advanced Workloads option with it to utilize DSE Graph, DSE Search, DSE Analytics, and more. On the other hand, HBase is detailed as "The Hadoop database, a distributed, scalable, big data store". Apache HBase is an open-source, distributed, versioned, column-oriented store modeled after Google' Bigtable: A Distributed Storage System for Structured Data by Chang et al. Just as Bigtable leverages the distributed data storage provided by the Google File System, HBase provides Bigtable-like capabilities on top of Apache Hadoop.
Datastax Enterprise and HBase belong to "Databases" category of the tech stack.
HBase is an open source tool with 3K GitHub stars and 2.05K GitHub forks. Here's a link to HBase's open source repository on GitHub.
What is Datastax Enterprise?
What is HBase?
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Why do developers choose Datastax Enterprise?
What are the cons of using Datastax Enterprise?
What are the cons of using HBase?
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The final output is inserted into HBase to serve the experiment dashboard. We also load the output data to Redshift for ad-hoc analysis. For real-time experiment data processing, we use Storm to tail Kafka and process data in real-time and insert metrics into MySQL, so we could identify group allocation problems and send out real-time alerts and metrics.