This provides humans reading the data with the ability to find meaning in it, directly. JSON is especially useful because it is readable by both humans and machines. A data interchange format (also referred to as “data exchange format” or “data format”) uses text to communicate data between platforms. JSON is generally used for data interchange “formats” on the internet. The majority of modern programming languages support both JSON and REST. These documents are normally represented as JSON (JavaScript Object Notation) and are updated either through APIs or by way of sending JSON to an appropriate REST (REresentational State Transfer) endpoint. Within a document database, the data is saved in freeform “documents” combining a variety of fields with any number of nested structures. Document databases are for developers who want to stay focused on developing an application. This wisdom also applies to the database a developer chooses for application. “The right tool for the right job” is useful advice. Graph databases have some similarities to document databases, but add a relationship layer, allowing them to find documents more rapidly. The specifics of configurations and indexing options that are available depend on needs and can vary greatly.ĭocument databases fall under the heading of NoSQL databases XML databases (optimized for XML documents) are a subclass of document databases. For example, a query retrieves all the documents within a certain field, set to certain values. Document databases are similar, allowing different types of documents to be saved, allowing their fields to be optional, and will often allow documents to be encoded using other encoding systems.Īnother strength of document databases is their ability to retrieve documents using their content. Each object, even those taken from the same class, may look very different. Generally speaking, programs that use objects have a wide variety of objects, and often those objects will have many optional fields. They are not required to follow a standard schema and do not uniformly maintain the same slots, sections, keys, or parts. A document is treated as a single complete unit, and splitting it into parts is generally avoided.ĭocuments in a document database are roughly equivalent to the programming concept of an object. This arrangement can maintain a variety of key-value pairs, key-array pairs, and even “nested” documents (documents within documents). In some cases, the key is required to create or insert the document into the database. Normally, a document database maintains an index of the keys to improve document retrieval speeds. It can be used to locate and pull the document from its The key is used as a simple identifier (ID), typically in the form of a string,Ī path, or a URI. Storage in Document Databasesĭocument database associates a unique key with a data structure called a “document.” With a document database, a single product’s attributes may use one page for a description (a synopsis, of sorts), providing easier management and faster reading speeds. Attempting to manage thousands of attributes within a “relational” database is inefficient, and typically the reading performance is reduced. For example, an internet sales application works with different products having a wide variety of attributes. Because of this, a schema update is not required,Īnd there is no database downtime needed to make the necessary changes.ĭocument databases are excellent for storing catalog information. Additionally, if the data model must be changed, only the affectedĭocuments have to be updated. This makes itĮasier for developers to update applications as the organization’s needsĬhange. Stored in the form of a single document (similar to objects). Document databases offer flexible indexing, analytics over document collections, and efficient ad hoc queries.Ī document database, each collection of data the application tracks may be A document database offers excellent support for content management applications (blogs and video platforms).
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