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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

    ArangoDB is a transactional native multi-model database supporting two major NoSQL data models (graph and document [1]) with one query language. Written in C++ and optimized for in-memory computing. In addition ArangoDB integrated RocksDB for persistent storage. ArangoDB supports Java, JavaScript, Python, PHP, NodeJS, C++ and Elixir.

  4. Graph Query Language - Wikipedia

    en.wikipedia.org/wiki/Graph_Query_Language

    Neo4j's database supports undocumented graph-wide properties, Tinkerpop has graph values which play the same role, and also supports "metaproperties" or properties on properties. Oracle's PGQL supports zero to many labels on nodes and on edges, whereas SQL/PGQ supports one to many labels for each kind of element.

  5. Oracle NoSQL Database - Wikipedia

    en.wikipedia.org/wiki/Oracle_NoSQL_Database

    Oracle NoSQL Database EE supports external table allows fetching Oracle NoSQL data from Oracle database using SQL statements such as Select, Select Count(*) etc. Once NoSQL data is exposed through external tables, one can access the data via standard JDBC drivers and/or visualize it through enterprise business intelligence tools.

  6. 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.

  7. 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.

  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. InfiniteGraph - Wikipedia

    en.wikipedia.org/wiki/InfiniteGraph

    InfiniteGraph is a distributed graph database implemented in Java and C++ and is from a class of NOSQL ("Not Only SQL") database technologies that focus on graph data structures. Developers use InfiniteGraph to find useful and often hidden relationships in highly connected, complex big data sets.