What items constitute an entity are application-specific. Typically, a document contains the entire data for an entity. The fields within documents are exposed to the storage management system, enabling an application to query and filter data by using the values in these fields. The data in the fields of a document can be encoded in various ways, including XML, YAML, JSON, BSON, or even stored as plain text. Each field value could be a scalar item, such as a number, or a compound element, such as a list or a parent-child collection. These data stores typically store data in the form of JSON documents. Document data storesĪ document data store manages a set of named string fields and object data values in an entity that's referred to as a document. The following sections describe the major categories of non-relational or NoSQL database. However, the underlying query execution strategy is usually very different from the way a traditional RDBMS would execute the same SQL query. In practice, "NoSQL" means "non-relational database," even though many of these databases do support SQL-compatible queries. Instead, the data stores use other programming languages and constructs to query the data. The term NoSQL refers to data stores that do not use SQL for queries. Neither format would generalize well to the task of managing transactional data. However, graph data stores are optimized for exploring weighted relationships between entities.
NON TABULAR DATABASE SERIES
For example, time series data stores are optimized for queries over time-based sequences of data. Also, they tend to be more specific in the type of data they support and how data can be queried. What all of these data stores have in common is that they don't use a relational model. For example, data may be stored as simple key/value pairs, as JSON documents, or as a graph consisting of edges and vertices. Instead, non-relational databases use a storage model that is optimized for the specific requirements of the type of data being stored.
A non-relational database is a database that does not use the tabular schema of rows and columns found in most traditional database systems.
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