There are three main issues encountered by RDMS when dealing with big data and some web applications. This includes:
1 scale out data
2 performance of single servers
3 rigid schema design.
The following elements present a precise comparison between relational and NoSQL databases in terms of multiple criteria: scalability, performance, flexibility, cloud usage, data model, queries and analytics, security, data replication, standardisation and maturity.
Big data storage, retrieving and processing constitute a complex issues in relational databases. In fact, SQL databases are vertically scalable. To handle increasing load, users have to increase the capacity and the performance within a single server. This is achieved by increasing for example the capacity of the CPU, the RAM, or the SSD of the dedicated database server. However, in such architecture, sharding multiple tables across large clusters or grids is expensive and complex.
In contrast, NoSQL databases are horizontally scalable. So, to handle large data volumes, users have just to add servers to the NoSQL database infrastructure. Operations load is thus distributed over many servers. System scalability is thus easier and cheaper to achieve using NoSQL.
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