SQL is the abbreviation to Structured Query Language. It is a language widely used to create and manage DataBase Management Systems or DBMS. The use of SQL is a sequel to the relational model databases emerged in the 70’s.
SQL databases are essentially relational model databases and they have a relationship between the data. The commands calling actions in SQL are called queries. The data in SQL is stored in tables. All tables can be related to each other. The queries can call different values in different tables and process complex calculations and populate complex results.
The noSQL means there is no structure for the queries and therefore no tables or relations maintained between datasets. The noSQL databases are also called model-less or query-less databases. Information stored in noSQL databases is in key to value basis. In other words, a noSQL database does not need to have related tables. All data are stored in a single file like a text file. This allows for unrestricted assignment of data for various queries.
Since the SQL databases can handle complex calculations and are dependent on the underlying tables, the processing power of a computer will also define the speed of the system. The noSQL databases do not perform complex functions like the SQL databases and they do not rely on underlying tables. So the speed of noSQL databases depends mainly on the space available for storage. In networking models of databases, the SQL database requires more Random Access Memory (RAM) capacity to provide speed when the number of users is higher. The noSQL database can handle an increased number of users in a network simply by adding bandwidth and additional memory (server space) for data recording.
These two databases could be used in different concerns and for different purposes. Where data management relies on dynamic data input and the calculations rely on various base factors, the SQL databases are preferred. Where the data input is static and the calculations rely on single key values, the noSQL databases are preferred. The processing speed of the databases will be affect disproportionally for a given factor between the two databases.
Increased number of values in the same category would negatively affect the speed of SQL databases whereas it will not affect the noSQL databases much. Increased number of categories of data will negatively affect the speed of noSQL databases whereas the SQL databases will handle it in better speeds.
Calling for actions that involve different types of data that are variables in relation to other data will reduce the speed of noSQL databases. The same will not affect the SQL databases. There are also additional concerns about these two types.
SQL is available as in open source Application Programming Interfaces (APIs) or as commercial sources. You have ample support in the community, and in the commercial platforms as these are the most known and used types of databases.
The no structure model of noSQL is very difficult to handle where support is needed. Support is available only through communities and there are not much experts in this field, freely available.
The provision of the current programming, data management and calculation systems are more inclined towards the SQL and the trend would remain so for the coming years unless there is a significant breakthrough in noSQL performance.