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a database abstraction layer, currently supporting (among others) Python's built-in "anydbm" module, PostgreSQL, MySQL and SQLite; issue-specific "nosy lists", used for e-mail notifications and conversation (each issue effectively becoming a mini mailing list) [8] an authorization system, [9] based on roles (of users), classes and objects
MariaDB Corporation AB is a contributor to the MariaDB Server, develops the MariaDB database connectors [102] (C, C++, Java 7, Java 8, Node.js, [103] ODBC, Python, [104] R2DBC [105]) as well as the MariaDB Enterprise Platform, including the MariaDB Enterprise Server, optimized for production deployments.
Sequelize, Node.js ORM tool for Postgres, MySQL, MariaDB, SQLite, DB2, Microsoft SQL Server, and Snowflake; Typeorm, Typescript/Javascript scalable ORM tool; MikroORM, TypeScript ORM based on Data Mapper, Unit of Work and Identity Map patterns. Supports PostgreSQL, MySQL, SQLite (including libSQL), MongoDB, and MariaDB
Mnesia is a distributed, soft real-time database management system written in the Erlang programming language. It is distributed as part of the Open Telecom Platform. MonetDB: MonetDB Solutions, CWI: 2004 SQL, ODBC, JDBC, C, C++, Java, Python, PHP, Node.js, Perl, Ruby, R, MAL open-source MonetDB License, based on MPL 2.0 as of version Jul2015.
A document-oriented database is a specialized key-value store, which itself is another NoSQL database category. In a simple key-value store, the document content is opaque. A document-oriented database provides APIs or a query/update language that exposes the ability to query or update based on the internal structure in the document. This ...
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The name is a three-letter acronym for DataBase Manager, and can also refer to the family of database engines with APIs and features derived from the original dbm. The dbm library stores arbitrary data by use of a single key (a primary key) in fixed-size buckets and uses hashing techniques to enable fast retrieval of the data by key.
The inverted file data model can put indexes in a set of files next to existing flat database files, in order to efficiently directly access needed records in these files. Notable for using this data model is the ADABAS DBMS of Software AG, introduced in 1970. ADABAS has gained considerable customer base and exists and supported until today.