Browse Definitions :
Definition

document-oriented database

A document-oriented database is a type of NoSQL database in which data is stored in binary document files. This type of database associates each document with a unique key that takes the form of a string, path or URI. Keys are used to locate and pull individual documents from the database. A document-oriented database may also be referred to as a document store. 

"Because the database landscape is complex and confusing to navigate, it's important to fully understand the different types of DBMSes, along with when and why to use them." - Craig S. Mullins

Specific indexing options, as well as the specific application program interface (API) calls or query language, will vary based on what documents are stored in the database. The way documents are organized will also differ depending on document content. Typically, documents are organized by tags, metadata or collection. An important advantage of using a document store is that if at some future time the data model needs to be changed, only the affected documents will have to be updated.

Popular document-oriented databases include MongoDB, DynamoDB and CosmosDB.

MongoDB is one of the most popular examples of a document-oriented database. It includes features such as full index support, replication and sharding. A core function of MongoDB is its horizontal scalability, which makes it a useful database for companies running big data applications.

DynamoDB is a fully managed NoSQL database service provided by Amazon Web Services. A user can interact with the service by using AWS Management Console or a DynamoDB API. The service also provides users with a high level of I/O performance. Every DynamoDB query is executed by a primary key identifier, which can locate each item.

Cosmos DB is a Microsoft cloud operational database fabric that is well-suited for read-heavy workloads that need to scale geographically. This database can be used where an application requires multiple data models. Cosmos DB supports multiple database types such as document stores, key-value stores, graph, as well as time-series databases.

This was last updated in August 2019

Continue Reading About document-oriented database

SearchNetworking
  • routing table

    A routing table is a set of rules, often viewed in table format, that's used to determine where data packets traveling over an ...

  • CIDR (Classless Inter-Domain Routing or supernetting)

    CIDR (Classless Inter-Domain Routing or supernetting) is a method of assigning IP addresses that improves the efficiency of ...

  • throughput

    Throughput is a measure of how many units of information a system can process in a given amount of time.

SearchSecurity
  • quantum key distribution (QKD)

    Quantum key distribution (QKD) is a secure communication method for exchanging encryption keys only known between shared parties.

  • Common Body of Knowledge (CBK)

    In security, the Common Body of Knowledge (CBK) is a comprehensive framework of all the relevant subjects a security professional...

  • buffer underflow

    A buffer underflow, also known as a buffer underrun or a buffer underwrite, is when the buffer -- the temporary holding space ...

SearchCIO
  • benchmark

    A benchmark is a standard or point of reference people can use to measure something else.

  • spatial computing

    Spatial computing broadly characterizes the processes and tools used to capture, process and interact with 3D data.

  • organizational goals

    Organizational goals are strategic objectives that a company's management establishes to outline expected outcomes and guide ...

SearchHRSoftware
  • talent acquisition

    Talent acquisition is the strategic process employers use to analyze their long-term talent needs in the context of business ...

  • employee retention

    Employee retention is the organizational goal of keeping productive and talented workers and reducing turnover by fostering a ...

  • hybrid work model

    A hybrid work model is a workforce structure that includes employees who work remotely and those who work on site, in a company's...

SearchCustomerExperience
  • database marketing

    Database marketing is a systematic approach to the gathering, consolidation and processing of consumer data.

  • cost per engagement (CPE)

    Cost per engagement (CPE) is an advertising pricing model in which digital marketing teams and advertisers only pay for ads when ...

  • B2C (Business2Consumer or Business-to-Consumer)

    B2C -- short for business-to-consumer -- is a retail model where products move directly from a business to the end user who has ...

Close