Difference between RDBMS and Hive
RDBMS stands for Relational Database Management System. RDBMS is a such type of database management system which is specifically designed for relational databases. RDBMS is a subset of DBMS. A relational database refers to a database that stores data in a structured format using rows and columns and that structured form is known as table. There are some certain rules defined in RDBMS and that are known as Codd’s rule.
Hive is a data warehouse software system that provides data query and analysis. Hive gives an interface like SQL to query data stored in various databases and file systems that integrate with Hadoop. Hive helps with querying and managing large datasets real fast. It is an ETL tool for Hadoop ecosystem.
Attention reader! Don’t stop learning now. Get hold of all the important CS Theory concepts for SDE interviews with the CS Theory Course at a student-friendly price and become industry ready.
Difference between RDBMS and Hive:
|It is used to maintain database.||It is used to maintain data warehouse.|
|It uses SQL (Structured Query Language).||It uses HQL (Hive Query Language).|
|Schema is fixed in RDBMS.||Schema varies in it.|
|Normalized data is stored.||Normalized and de-normalized both type of data is stored.|
|Tables in rdms are sparse.||Table in hive are dense.|
|It doesn’t support partitioning.||It supports automation partition.|
|No partition method is used.||Sharding method is used for partition.|