Kudu vs Oracle: What are the differences?
Developers describe Kudu as "Fast Analytics on Fast Data. A columnar storage manager developed for the Hadoop platform". A new addition to the open source Apache Hadoop ecosystem, Kudu completes Hadoop's storage layer to enable fast analytics on fast data. On the other hand, Oracle is detailed as "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.
Kudu and Oracle are primarily classified as "Big Data" and "Databases" tools respectively.
"Realtime Analytics" is the primary reason why developers consider Kudu over the competitors, whereas "Reliable" was stated as the key factor in picking Oracle.
Kudu is an open source tool with 788 GitHub stars and 263 GitHub forks. Here's a link to Kudu's open source repository on GitHub.