No SQL refers to a collection of technologies that are used to build database software. It was developed so as to respond to new database applications that are being developed by database administrators.
The new database software that are encompassed in No SQL deal with different types of data; these include;
- Structured data
- Semi-structured data
- Unstructured data
- Polymorphic data
In the early days of database development, technicians used the waterfall System Development Life Cycle (SDLC). This process took up to 18 months to complete. Due to its long timeline, it has since been abandoned by modern database developers.
Today, Remote DBA experts create databases very fast. They perform iterations to the design in real time and present the code for the entire database in a week or two. No SQL database technologies are able to respond to this.
Database software is now offered as a service. Initially, the software was installed in the organization’s systems and stayed there. However, today the database service is offered on the Internet. As a result, it must always be available for its users. No SQL database technologies make this possible.
Most of the No SQL database technologies are open-source in nature. Organizations are gradually moving from the traditional, proprietary database software to light and flexible open source software. No SQL has these characteristics and also allows DBAs to implement cloud computing in their databases.
The various types of No SQL databases used by DBA Experts
There are a number of database technologies that can be categorized under No SQL. These include;
- Document databases
- Graph stores
- Key-value stores
- Wide-column stores
The document databases
In this type of No SQL database, a special document structure is paired to each primary key. Each document can be paired with many different primary keys. These are known as key-value or key-array pairs. Also, documents can easily be nested together.
This is a No SQL database technology that is used to store information that pertains to data networks. An example of data networks is social connections. Some examples of graph store database technologies are Giraph and Neo4J.
These No SQL database stores have the most simple structure. In this type of database software, the items in the database are stored as attribute names. Also known as keys, these names have values attached to them. Some database software that use this technology are designed such that the key values can be assigned a type, for example, an integer. Examples of these software include Riak, Berkeley DB as well as Redis.
This type of No SQL database software is designed such that they can easily perform queries in datasets containing large amounts of data. In addition to that, this technology allows you to store the data together in form of columns. There are no rows in this type of database software.
Characteristics of No SQL database technologies
There are some outstanding characteristics of these technologies. They include;
- Dynamic structured, unstructured and semi-structured data in large volumes.
- The ability to perform quick iterations to schemas as well as agile development of databases.
- Code is pushed to the database very frequently.
- Applications within the database can be constructed with Object Oriented programming.
- Allows for scaled-out database architecture that can be distributed across a large geographical area.