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  2. Query Abstraction Layer - Wikipedia

    en.wikipedia.org/wiki/Query_Abstraction_Layer

    For SQL/RDBMS backends, it has a database abstraction layer that supports basic connectivity to Postgres, MySQL / MariaDB, IBM Db2, Oracle and MS SQL Server. [4] It uses XML formats (the SQL schema is self-generated) for representation of queries, transformation and merging, making it all processable by scripts. With regards to SQL, QAL uses a ...

  3. SQLAlchemy - Wikipedia

    en.wikipedia.org/wiki/SQLAlchemy

    SQLAlchemy offers tools for database schema generation, querying, and object-relational mapping. Key features include: A comprehensive embedded domain-specific language for SQL in Python called "SQLAlchemy Core" that provides means to construct and execute SQL queries. A powerful ORM that allows the mapping of Python classes to database tables.

  4. Database abstraction layer - Wikipedia

    en.wikipedia.org/wiki/Database_abstraction_layer

    A database abstraction layer (DBAL [1] or DAL) is an application programming interface which unifies the communication between a computer application and databases such as SQL Server, IBM Db2, MySQL, PostgreSQL, Oracle or SQLite. Traditionally, all database vendors provide their own interface that is tailored to their products.

  5. Nested set model - Wikipedia

    en.wikipedia.org/wiki/Nested_set_model

    The standard relational algebra and relational calculus, and the SQL operations based on them, are unable to express directly all desirable operations on hierarchies. The nested set model is a solution to that problem. An alternative solution is the expression of the hierarchy as a parent-child relation. Joe Celko called this the adjacency list ...

  6. Solution stack - Wikipedia

    en.wikipedia.org/wiki/Solution_stack

    The term "solution stack" has, historically, occasionally included hardware components as part of a final product, mixing both the hardware and software in layers of support. [ 4 ] [ 5 ] A full-stack developer is expected to be able to work in all the layers of the application ( front-end and back-end ).

  7. Object–relational mapping - Wikipedia

    en.wikipedia.org/wiki/Object–relational_mapping

    These can be called from the client using SQL statements. The Data Access Object (DAO) design pattern is used to abstract these statements and offer a lightweight object-oriented interface to the rest of the application. [5] ORMs are limited to their predefined functionality, which may not cover all edge cases or database features.

  8. Data access layer - Wikipedia

    en.wikipedia.org/wiki/Data_access_layer

    So, for example, instead of making a query into a database to fetch all users from several tables, the application can call a single method from a DAL which abstracts those database calls. Applications using a data access layer can be either database server dependent or independent.

  9. Graph database - Wikipedia

    en.wikipedia.org/wiki/Graph_database

    Microsoft SQL Server 2017: RC1: Proprietary: SQL/T-SQL, R, Python: Offers graph database abilities to model many-to-many relationships. The graph relationships are integrated into Transact-SQL, and use SQL Server as the foundational database management system. [36] NebulaGraph: 3.7.0: 2024-03: Open Source Edition is under Apache 2.0, Common ...