Doctrine 2 vs HBase: What are the differences?
Doctrine 2: An object-relational mapper (ORM) for PHP 5.3.2+ that provides transparent persistence for PHP objects. Doctrine 2 sits on top of a powerful database abstraction layer (DBAL). One of its key features is the option to write database queries in a proprietary object oriented SQL dialect called Doctrine Query Language (DQL), inspired by Hibernates HQL; HBase: 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.
Doctrine 2 and HBase are primarily classified as "Object Relational Mapper (ORM)" and "Databases" tools respectively.
"Great abstraction, easy to use, good docs" is the top reason why over 9 developers like Doctrine 2, while over 7 developers mention "Performance" as the leading cause for choosing HBase.
HBase is an open source tool with 2.87K GitHub stars and 1.98K GitHub forks. Here's a link to HBase's open source repository on GitHub.
According to the StackShare community, HBase has a broader approval, being mentioned in 54 company stacks & 18 developers stacks; compared to Doctrine 2, which is listed in 35 company stacks and 12 developer stacks.
What is Doctrine 2?
What is HBase?
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What are the cons of using Doctrine 2?
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.