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  2. Semi-structured data - Wikipedia

    en.wikipedia.org/wiki/Semi-structured_data

    Semi-structured data [1] is a form of structured data that does not obey the tabular structure of data models associated with relational databases or other forms of data tables, but nonetheless contains tags or other markers to separate semantic elements and enforce hierarchies of records and fields within the data.

  3. Schema-agnostic databases - Wikipedia

    en.wikipedia.org/wiki/Schema-agnostic_Databases

    Schema-agnosticism is the property of a database of mapping a query issued with the user terminology and structure, automatically mapping it to the dataset vocabulary. The increase in the size and in the semantic heterogeneity of database schemas bring new requirements for users querying and searching structured data. At this scale it can ...

  4. 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.

  5. Comparison of object database management systems - Wikipedia

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

    Small footprint embedded database. Diverse indexes and specialized collection classes; LINQ; replication; ACID transactions; native full text search; includes Silverlight, Android and Java ME demo apps. Picolisp: 3.1.1 Picolisp MIT License: DB built into the language Versant Object Database / VOD / FastObjects 10 (2021) / 9 (2015) / 14 (2020 ...

  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. Database storage structures - Wikipedia

    en.wikipedia.org/wiki/Database_storage_structures

    Pros and cons efficient for exact matches on key field; not suitable for range retrieval, which requires sequential storage; calculates where the record is stored based on fields in the record; hash functions ensure even spread of data; collisions are possible, so collision detection and restoration is required

  8. Document-oriented database - Wikipedia

    en.wikipedia.org/wiki/Document-oriented_database

    Document databases [b] contrast strongly with the traditional relational database (RDB). Relational databases generally store data in separate tables that are defined by the programmer, and a single object may be spread across several tables. Document databases store all information for a given object in a single instance in the database, and ...

  9. Snowflake schema - Wikipedia

    en.wikipedia.org/wiki/Snowflake_schema

    Some database developers compromise by creating an underlying snowflake schema with views built on top of it that perform many of the necessary joins to simulate a star schema. This provides the storage benefits achieved through the normalization of dimensions with the ease of querying that the star schema provides.