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  2. Milvus (vector database) - Wikipedia

    en.wikipedia.org/wiki/Milvus_(vector_database)

    Column-oriented database; Four supported data consistency levels, including strong consistency and eventual consistency. [13] Data sharding; Streaming data ingestion, which allows to process and ingest data in real-time as it arrives; A dynamic schema, which allows inserting the data without a predefined schema; Independent storage and compute ...

  3. Vector database - Wikipedia

    en.wikipedia.org/wiki/Vector_database

    A vector database, vector store or vector search engine is a database that can store vectors (fixed-length lists of numbers) along with other data items. Vector databases typically implement one or more Approximate Nearest Neighbor algorithms, [1] [2] [3] so that one can search the database with a query vector to retrieve the closest matching database records.

  4. List of in-memory databases - Wikipedia

    en.wikipedia.org/wiki/List_of_in-memory_databases

    Specialized editions for (for example) clustering, high availability, 64-bit support, and hybrid (in-memory and persistent) storage. eXtremeDB Financial Edition implements columnar data handling, vector-based statistical function library, integrated performance monitoring. H2 (DBMS) H2 Java, ODBC, JDBC

  5. 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 ).

  6. Category:Vector databases - Wikipedia

    en.wikipedia.org/wiki/Category:Vector_databases

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  7. TypeDB - Wikipedia

    en.wikipedia.org/wiki/TypeDB

    The data model of TypeDB is based on primitives from conceptual data modeling, which are implemented in a type system (see § Data and query model). The type system can be extended with user-defined types , type dependencies , and subtyping , which together act as a database schema .

  8. Schema matching - Wikipedia

    en.wikipedia.org/wiki/Schema_matching

    The terms schema matching and mapping are often used interchangeably for a database process. For this article, we differentiate the two as follows: schema matching is the process of identifying that two objects are semantically related (scope of this article) while mapping refers to the transformations between the objects.

  9. Comparison of relational database management systems - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_relational...

    A true fully (database, schema, and table) qualified query is exemplified as such: SELECT * FROM database. schema. table. Both a schema and a database can be used to isolate one table, "foo", from another like-named table "foo". The following is pseudo code: SELECT * FROM database1. foo vs. SELECT * FROM database2. foo (no explicit schema ...