Difference Hbase, RDBMS Advantages Hbase
Let’s study about the differences and adavntages of HBase.
|It is column-oriented.||It is row-oriented.|
|Hbase has Flexible schema.||RDBMS is fixed schema.|
|It is good for unstructured and semi-structured data but it also can work with structured data.||It is good for structured data only.|
|HBase is horizontally scalable.||RDBMS is hard to scale.|
|Mainly designed for huge tables.||Designed for of small tables.|
|Suitable for Online Analytical Processing (OLAP).||Suitable for Online Transaction Process (OLTP).|
|It has de-normalized data (process of trying to improve the read performance of a database).||It will have normalized data (organized data in the database).|
|Here Hbase is tightly integrated with MR (MapReduce).||RDBMS is not integrated with MR.|
|Here Join operation in not optimized.||It has optimized join operation.|
|Hive can process Million queries per second.||RDBMS can process thousand queries per second.|
|Here database size varies from TB to PB.||Here database size varies from GB to TB.|
|Supports only for bytes.||Supports rich data types.|
Advantage of HBase
Hbase provides wide range of benefits and solutions for many use cases. Let’s see one by one,
- Hbase can easily handle and store very large volumes of data on top of HDFS file storage. It will aggregate and analyze billions of rows present in the HBase tables.
- Hbase data reading and processing takes less time compared to traditional relational models.
- Hbase is extensively used in online analytical operations. Example: In banking applications such as real-time data updates in ATM machines likes getting mini statements,new pin code generation and pin code modification etc.
- It has very flexible on schema design.
- It supports scaling with Hadoop file system even on commodity hardware.
- Hbase is fault tolerance and auto failover in nature.
- Hbase is open source software and License free.
- This can be integrated with Hive for SQL-like queries, which is helpfull for DBA’s who are more familiar with SQL queries.