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  2. Distributed database - Wikipedia

    en.wikipedia.org/wiki/Distributed_database

    A distributed database is a database in which data is stored across different physical locations. [1] It may be stored in multiple computers located in the same physical location (e.g. a data centre); or maybe dispersed over a network of interconnected computers.

  3. CAP theorem - Wikipedia

    en.wikipedia.org/wiki/CAP_theorem

    Database systems designed with traditional ACID guarantees in mind such as RDBMS choose consistency over availability, whereas systems designed around the BASE philosophy, common in the NoSQL movement for example, choose availability over consistency.

  4. Distributed SQL - Wikipedia

    en.wikipedia.org/wiki/Distributed_SQL

    A distributed SQL database is a single relational database which replicates data across multiple servers. Distributed SQL databases are strongly consistent and most support consistency across racks, data centers, and wide area networks including cloud availability zones and cloud geographic zones .

  5. Distributed data store - Wikipedia

    en.wikipedia.org/wiki/Distributed_data_store

    A distributed data store is a computer network where information is stored on more than one node, often in a replicated fashion. [1] It is usually specifically used to refer to either a distributed database where users store information on a number of nodes, or a computer network in which users store information on a number of peer network nodes.

  6. Database - Wikipedia

    en.wikipedia.org/wiki/Database

    A deductive database combines logic programming with a relational database. A distributed database is one in which both the data and the DBMS span multiple computers. A document-oriented database is designed for storing, retrieving, and managing document-oriented, or semi structured, information. Document-oriented databases are one of the main ...

  7. Comparison of object–relational database management systems

    en.wikipedia.org/wiki/Comparison_of_object...

    This is a comparison of object–relational database management systems (ORDBMSs). Each system has at least some features of an object–relational database ; they vary widely in their completeness and the approaches taken.

  8. 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]

  9. Comparison of structured storage software - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_structured...

    NoSQL database Yes, Hybrid DRAM and flash for persistence Yes Yes, Distributed for scale Yes Yes C (small bits of assembly language) Aerospike AGPL v3: AllegroGraph: Graph database: Yes No - v5, 2010 Yes Yes No Common Lisp: Franz Inc. Proprietary: Apache Ignite: Key-value To and from an underlying persistent storage (e.g. an RDBMS) Yes Yes Yes ...