HBase vs Oracle: What are the differences?
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; Oracle: An RDBMS that implements object-oriented features such as user-defined types, inheritance, and polymorphism. Oracle Database is an RDBMS. An RDBMS that implements object-oriented features such as user-defined types, inheritance, and polymorphism is called an object-relational database management system (ORDBMS). Oracle Database has extended the relational model to an object-relational model, making it possible to store complex business models in a relational database.
HBase and Oracle belong to "Databases" category of the tech stack.
"Performance" is the primary reason why developers consider HBase over the competitors, whereas "Reliable" was stated as the key factor in picking Oracle.
HBase is an open source tool with 2.91K GitHub stars and 2.01K GitHub forks. Here's a link to HBase's open source repository on GitHub.
Netflix, ebay, and LinkedIn are some of the popular companies that use Oracle, whereas HBase is used by Pinterest, HubSpot, and Yammer. Oracle has a broader approval, being mentioned in 106 company stacks & 92 developers stacks; compared to HBase, which is listed in 54 company stacks and 18 developer stacks.
What is HBase?
What is Oracle?
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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.
Gerenciamento de banco de dados utilizados por odos os serviços/aplicações criados
recommended solution at school, also used to try out alternatives to MySQL