| SNo. | MySQL ( RDBMS) | NoSQL |
|---|---|---|
| 1 | Most RDBMS scale Vertically, by increasing the H/W specs ( MariaDB is an exception, so is CloudSpanner) | NoSQL scales horizontally by adding more nodes to the system |
| 2 | Flexible , support for easier query language | Predictable performance |
| 3 | Latency issues on a distributed system. | Better performance than RDBMS over a distributed geographical region |
| 4 | Do not support replication of Data internally, need external tools which process this in batches ( or async ) | Supports Data replication and thus provides resiliency and HA..Support is provided as Multi-master mode,master-Slave ( mongodb )& Masterless |
| 5 | Data friendly ( data entities are considered first) | Application friendly ( Use Case is considered first) |
| 6 | Data models have relations and are ‘joined’ together. This provides uniformity to the data | Data can be non-uniform and maybe unstructured in a way |
| 7 | Data is more Consistent ( provides CP fom CAP ) NOTE: P= partition tolerance | Data is more Available ( provides AP from CAP ) |
| 8 | RDBMS provides the rigid ACID property ( Atomic, Consistent, Isolation, Durability) | NoSQL provides more lenient BASE property (Basic Availaibility, Soft state [ no relation between entities ], Eventual Consistency ) |
| 9 | Useful when we have well structured data | Schemaless DB, so no structure required |
Last active
February 23, 2022 06:39
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