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MarkLogic Server is a document-oriented database developed by MarkLogic. It is a NoSQL multi-model database that evolved from an XML database to natively store JSON documents and RDF triples, the data model for semantics. MarkLogic is designed to be a data hub for operational and analytical data. [1]
MarkLogic was originally named Cerisent when it was founded in 2001 [5] by Christopher Lindblad, who was the Chief Architect of the Ultraseek search engine at Infoseek, as well as Paul Pedersen, a professor of computer science at Cornell University and UCLA, and Frank R. Caufield, Founder of Darwin Ventures, [6] to address shortcomings with existing search and data products.
JSON Pointer [10] defines a string syntax for identifying a single value within a given JSON value of known structure. JSONiq [11] is a query and transformation language for JSON. XPath 3.1 [12] is an expression language that allows the processing of values conforming to the XDM [13] data model. The version 3.1 of XPath supports JSON as well as ...
JSONiq primarily provides means to extract and transform data from JSON documents or any data source that can be viewed as JSON (e.g. relational databases or web services). The major expression for performing such operations is the SQL-like “FLWOR expression” that comes from XQuery. A FLWOR expression is constructed from the five clauses ...
It uses JSON to store data, JavaScript as its query language using MapReduce, and HTTP for an API. [2] CouchDB was first released in 2005 and later became an Apache Software Foundation project in 2008. Unlike a relational database, a CouchDB database does not store data and relationships in tables. Instead, each database is a collection of ...
The difference [contradictory] lies in the way the data is processed; in a key-value store, the data is considered to be inherently opaque to the database, whereas a document-oriented system relies on internal structure in the document in order to extract metadata that the database engine uses for further optimization.
From August 2010 to December 2012, if you bought shares in companies when Clark T. Randt, Jr. joined the board, and sold them when he left, you would have a 9.4 percent return on your investment, compared to a 26.7 percent return from the S&P 500.
JSON Schema specifies a JSON-based format to define the structure of JSON data for validation, documentation, and interaction control. It provides a contract for the JSON data required by a given application and how that data can be modified. [29] JSON Schema is based on the concepts from XML Schema (XSD) but is JSON-based. As in XSD, the same ...