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Difference Between RDBMS and HBase
Both RDBMS and HBase, both are database management systems. RDBMS uses tables to represent data and their relationships. HBase is a column-oriented dbms and it works on top of Hadoop Distributed File System (HDFS).
Following are the important differences between RDBMS and HBase.
| Sr. No. | Key | RDBMS | HBase |
|---|---|---|---|
| 1 | Definition | RDBMS stands for Relational DataBase Management System. | HBase has no full form. |
| 2 | SQL | RDBMS requires SQL, Structured Query Language. | HBase does not need SQL. |
| 3 | Schema | RDBMS has a fixed schema. | HBase has no fixed schema. |
| 4 | Orientation | RDBMS is row oriented. | HBase is column oriented. |
| 5 | Scalablity | RDBMS faces problems in scalablity. | HBase is highly scalable. |
| 6 | Nature | DBMS is static in nature. | HBase is dynamic in nature. |
| 7 | Data Retrieval | RDBMS data retrieval is slow. | HBase data retrieval is fast. |
| 8 | RULE | RDBMS follws ACID(Atomicity, Consistency, Isolation and Durability) Rule. | HBase follows CAP(Consistency, Availability, Partition-tolerance) Rule. |
| 9 | Data structure | RDBMS handles structural data. | HBase handles structural, non-structural and semi-structural data. |
| 10 | Sparse Data Handling | Sparse data handling is not present. | Sparse data handling is present. |
Updated on: 2019-11-27T07:20:14+05:30
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