HBase vs Oracle PL/SQL: 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 PL/SQL: It is a combination of SQL along with the procedural features of programming languages. It is available in Oracle Database, TimesTen in-memory database, and IBM DB2. Oracle Corporation usually extends PL/SQL functionality with each successive release of the Oracle Database.
HBase belongs to "Databases" category of the tech stack, while Oracle PL/SQL can be primarily classified under "Query Languages".
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.
Pinterest, HubSpot, and hike are some of the popular companies that use HBase, whereas Oracle PL/SQL is used by Matrix Absence Management Inc, Pre2000, and CUBE. HBase has a broader approval, being mentioned in 69 company stacks & 109 developers stacks; compared to Oracle PL/SQL, which is listed in 12 company stacks and 31 developer stacks.
What is HBase?
What is Oracle PL/SQL?
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Why do developers choose Oracle PL/SQL?
What are the cons of using HBase?
What are the cons of using Oracle PL/SQL?
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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.