Nosql
OVERVIEW OF NOSQL
Definition:
NoSQL is a type of datastore; it's a way of storing and retrieving data quickly, much like a relational database except it isn't based on the mathematical relationship between tables as a traditional relational database does. NoSQL datastores can be much faster than relational databases but generally lack the robustness that those provide for the speed. The growth of ultra large websites like Facebook and Google has lead to the development of NoSQl as a way of breaking through the speed constraints that relational databases provide. Most work on storing and fetching Key-Values, though some e.g. redis, store large quantities of data entities (called documents) in XML or JSON format.
Types Of Nosql Databases
There are four main types of NoSQL databases: * The basic key/value store performs nothing other than the function described above – taking a binary data object, associating it with a key, and storing it in the database for later retrieval. * Document stores go beyond this slightly by imposing a little more structure on the binary object. The objects must be documents, encoded in some recognizable format, such as XML or PDF, but there are no requirements about the structure or content of the document. Each document is stored as the value portion of a key/value store and may be accompanied by metadata embedded in the document itself. * Columnar databases are a hybrid between NoSQL and relational databases. They provide some row-and-column structure, but do not have the strict rules of relational databases. * Graph databases store information in multi-attribute tuples that reflect relationships in a different way. For example, a graph database might be used to store the "friend" relationships of a social network, with a record merely consisting of two friends who share a relationship.
Nosql Categories
The current NoSQL world fits into 4 basic categories. 1. Key-values Stores 2. Column Family
Definition:
NoSQL is a type of datastore; it's a way of storing and retrieving data quickly, much like a relational database except it isn't based on the mathematical relationship between tables as a traditional relational database does. NoSQL datastores can be much faster than relational databases but generally lack the robustness that those provide for the speed. The growth of ultra large websites like Facebook and Google has lead to the development of NoSQl as a way of breaking through the speed constraints that relational databases provide. Most work on storing and fetching Key-Values, though some e.g. redis, store large quantities of data entities (called documents) in XML or JSON format.
Types Of Nosql Databases
There are four main types of NoSQL databases: * The basic key/value store performs nothing other than the function described above – taking a binary data object, associating it with a key, and storing it in the database for later retrieval. * Document stores go beyond this slightly by imposing a little more structure on the binary object. The objects must be documents, encoded in some recognizable format, such as XML or PDF, but there are no requirements about the structure or content of the document. Each document is stored as the value portion of a key/value store and may be accompanied by metadata embedded in the document itself. * Columnar databases are a hybrid between NoSQL and relational databases. They provide some row-and-column structure, but do not have the strict rules of relational databases. * Graph databases store information in multi-attribute tuples that reflect relationships in a different way. For example, a graph database might be used to store the "friend" relationships of a social network, with a record merely consisting of two friends who share a relationship.
Nosql Categories
The current NoSQL world fits into 4 basic categories. 1. Key-values Stores 2. Column Family