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  2. Schema-agnostic databases - Wikipedia

    en.wikipedia.org/wiki/Schema-agnostic_Databases

    Schema-agnostic databases or vocabulary-independent databases aim at supporting users to be abstracted from the representation of the data, supporting the automatic semantic matching between queries and databases. Schema-agnosticism is the property of a database of mapping a query issued with the user terminology and structure, automatically ...

  3. Cosmos DB - Wikipedia

    en.wikipedia.org/wiki/Cosmos_DB

    Containers are grouped in "databases", which are analogous to namespaces above containers. Containers are schema-agnostic, which means that no schema is enforced when adding items. By default, every field in each item is automatically indexed, generally providing good performance without tuning to specific query patterns.

  4. Category:Database management systems - Wikipedia

    en.wikipedia.org/wiki/Category:Database...

    Typical examples of DBMS use include accounting, human resources and customer support systems. ... Schema-agnostic databases; Shard (database architecture)

  5. Distributional–relational database - Wikipedia

    en.wikipedia.org/wiki/Distributional–relational...

    Distributional-Relational models can be applied to the construction of schema-agnostic databases (databases in which users can query the data without being aware of its schema), semantic search, schema-integration and inductive and abductive reasoning as well as different applications in which a semantically flexible knowledge representation ...

  6. Database schema - Wikipedia

    en.wikipedia.org/wiki/Database_schema

    The database schema is the structure of a database described in a formal language supported typically by a relational database management system (RDBMS). The term " schema " refers to the organization of data as a blueprint of how the database is constructed (divided into database tables in the case of relational databases ).

  7. Clusterpoint - Wikipedia

    en.wikipedia.org/wiki/Clusterpoint

    Clusterpoint is a schema-free document database. [11]Examples are where SQL RDBMS data is used in combination with an enterprise search engine to address performance and scalability needs of web and mobile applications, or where big data and analytics tools such as Hadoop might be needed due to sheer volume of data or large computing workloads.

  8. Semantic data model - Wikipedia

    en.wikipedia.org/wiki/Semantic_data_model

    With the proper technology, the resulting conceptual schema can be used to control transaction processing in a distributed database environment. The U.S. Air Force Integrated Information Support System (I2S2) is an experimental development and demonstration of this kind of technology, applied to a heterogeneous type of DBMS environments.

  9. Schema evolution - Wikipedia

    en.wikipedia.org/wiki/Schema_evolution

    PRISM, a tool to support graceful relational schema evolution: Prism: schema evolution tool; PRIMA, a tool supporting transaction time databases under schema evolution PRIMA: supporting transaction-time DB under schema evolution; Pario and deltasql [9] are examples of software development tools that include fully automated schema evolution.