How Is Hadoop Different From Oracle?

Timothy Joseph | July 11, 2022

How Is Hadoop Different From Oracle?

Hadoop is an open-source Java-based framework used to store data & run different applications on commodity hardware clusters. Hadoop is a collection of open-source software that runs as HDFS (Hadoop Distributed File System) and is capable of handling large amounts of data. Hadoop's goal is to store, manage, and provide data for analytical purposes.

Key differences between Hadoop and Oracle:

  1. Hadoop uses the sharding partitioning method for storing different data on different nodes. Oracle uses the horizontal partitioning method for storing different data on different nodes.
  2. Hadoop is open-source software, and Oracle is commercial software.
  3. Hadoop offers an API for user-defined Map/Reduce methods, whereas Oracle does not offer an API for user-defined Map/Reduce methods.
  4. JDBC, ODBC, and Thrift are the APIs and access methods used in Hive, and on the other side, JDBC, ODBC, ODP.NET, and OCI are the APIs and access methods used in Oracle.

Disclaimer

This publication is for informational purposes only, and nothing contained in it should be considered legal advice. We expressly disclaim any warranty or responsibility for damages arising out of this information and encourage you to consult with legal counsel regarding your specific needs. We do not undertake any duty to update previously posted materials.

Post a Comment

Categories