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  2. Graph database - Wikipedia

    en.wikipedia.org/wiki/Graph_database

    Second-generation [clarification needed] distributed graph database with the flexibility of documents in one product (i.e., it is both a graph database and a document NoSQL database); licensed under open-source Apache 2 license; and has full ACID support; it has a multi-master replication; supports schema-less, -full, and -mixed modes; has ...

  3. List of in-memory databases - Wikipedia

    en.wikipedia.org/wiki/List_of_in-memory_databases

    Java, C#, C, Python, Go, Node.js, Perl, libevent, PHP, Ruby, Rust Open Source (AGPL) Flash-optimized in-memory open source NoSQL database. ALTIBASE HDB: Altibase Corporation 1999 Java, C, C++, JDBC, ODBC, SQL Proprietary Altibase is a hybrid DBMS that combines an in-memory database with a conventional disk-resident database in a single unified ...

  4. Document-oriented database - Wikipedia

    en.wikipedia.org/wiki/Document-oriented_database

    Aerospike is a flash-optimized and in-memory distributed key value NoSQL database which also supports a document store model. [5] Yes [6] AllegroGraph: Franz, Inc. Proprietary: Java, Python, Common Lisp, Ruby, Scala, C#, Perl: The database platform supports document store and graph data models in a single database.

  5. NoSQL - Wikipedia

    en.wikipedia.org/wiki/NoSQL

    NoSQL (originally referring to "non-SQL" or "non-relational") [1] is an approach to database design that focuses on providing a mechanism for storage and retrieval of data that is modeled in means other than the tabular relations used in relational databases. Instead of the typical tabular structure of a relational database, NoSQL databases ...

  6. Ontotext - Wikipedia

    en.wikipedia.org/wiki/Ontotext

    Ontotext GraphDB (previously known as BigOWLIM) is a graph-based database [6] capable of working with knowledge graphs [7] produced by Ontotext, compliant with the RDF graph data model [8] and the SPARQL query language. [9] Some categorize it as a NoSQL database, meaning that it does not use tables like some other databases. [10]

  7. Cosmos DB - Wikipedia

    en.wikipedia.org/wiki/Cosmos_DB

    It is designed to provide high availability, scalability, and low-latency access to data for modern applications. Unlike traditional relational databases, Cosmos DB is a NoSQL (meaning "Not only SQL", rather than "zero SQL") and vector database, [1] which means it can handle unstructured, semi-structured, structured, and vector data types. [2]

  8. OrientDB - Wikipedia

    en.wikipedia.org/wiki/OrientDB

    OrientDB is an open source NoSQL database management system written in Java. It is a Multi-model database, supporting graph, document and object models, [2] the relationships are managed as in graph databases with direct connections between records. It supports schema-less, schema-full and schema-mixed modes.

  9. Cypher (query language) - Wikipedia

    en.wikipedia.org/wiki/Cypher_(query_language)

    Cypher is based on the Property Graph Model, which organizes data into nodes and edges (called “relationships” in Cypher). In addition to those standard graph elements of nodes and relationships, the property graph model adds labels and properties for describing finer categories and attributes of the data. Nodes are the entities in the graph.