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Different NoSQL databases, such as DynamoDB, MongoDB, Cassandra, Couchbase, HBase, and Redis, exhibit varying behaviors when querying non-indexed fields. Many perform full table or collection scans for such queries, applying filtering operations after retrieving data.
A relationship always has a direction, a start node, an end node, and exactly one relationship type. Like nodes, relationships can also have properties. [4] Labels can group similar nodes together by assigning zero or more node labels. Labels are kind of like tags and allow you to specify certain types of entities to look for or create.
MongoDB is a source-available, cross-platform, document-oriented database program. Classified as a NoSQL database product, MongoDB utilizes JSON-like documents with optional schemas. MongoDB is developed by MongoDB Inc. and current versions are licensed under the Server Side Public License (SSPL). MongoDB is a member of the MACH Alliance.
One of the arguments against using an OODBMS is that it may not be able to execute ad-hoc, application-independent queries. [citation needed] For this reason, many programmers find themselves more at home with an object-SQL mapping system, even though most object-oriented databases are able to process SQL queries to a limited extent. Other ...
fully managed MongoDB v3.6-compatible database service Yes DynamoDB: Amazon Web Services: Proprietary Java, JavaScript, Node.js, Go, C#.NET, Perl, PHP, Python, Ruby, Rust, Haskell, Erlang, Django, and Grails: fully managed proprietary NoSQL database service that supports key–value and document data structures Yes Elasticsearch: Shay Banon
An RDF graph notation or a statement is represented by: a node for the subject, a node for the object, and an arc for the predicate. A node may be left blank, a literal and/or be identified by a URI. An arc may also be identified by a URI. A literal for a node may be of two types: plain (untyped) and typed.
The nested set model is a technique for representing nested set collections (also known as trees or hierarchies) in relational databases.. It is based on Nested Intervals, that "are immune to hierarchy reorganization problem, and allow answering ancestor path hierarchical queries algorithmically — without accessing the stored hierarchy relation".
Internally, Cosmos DB stores "items" in "containers", [3] with these two concepts being surfaced differently depending on the API used (these would be "documents" in "collections" when using the MongoDB-compatible API, for example). Containers are grouped in "databases", which are analogous to namespaces above containers.