Projects tagged ‘database_abstraction’ and ‘persistence’

SQLAlchemy is the Python SQL toolkit and Object Relational Mapper that gives application developers the full power and flexibility of SQL. It provides a full suite of well known enterprise-level ... [More] persistence patterns, designed for efficient and high-performing database access, adapted into a simple and Pythonic domain language. SQL databases behave less and less like object collections the more size and performance start to matter; object collections behave less and less like tables and rows the more abstraction starts to matter. SQLAlchemy aims to accommodate both of these principles. [Less]

An extensible object relational mapper for Perl.

An O/R Mapper for Ruby based on the DataMapper pattern.

DataObjects.Net v4.0 is rapid database application development framework. It combines comprehensive business logic layer development framework, object-relational mapper and a set of storage ... [More] implementations enabling the same BLL code work everywhere dramatically reducing the resources and time you need to develop generally any application dealing with persistent data. [Less]

ADOdb is a database abstraction library for PHP. The PHP version currently supports an amazing number of databases, thanks to the wonderful ADOdb community: MySQL, PostgreSQL, Interbase, Firebird ... [More] , Informix, Oracle, MS SQL, Foxpro, Access, ADO, Sybase, FrontBase, DB2, SAP DB, SQLite, Netezza, LDAP, and generic ODBC, ODBTP. The Sybase, Informix, FrontBase and PostgreSQL, Netezza, LDAP, ODBTP drivers are community contributions. [Less]

Storm is an object-relational mapper (ORM) for Python developed at Canonical.

Rose::DB::Object is an extensible, high performance object-relational mapper (ORM) for Perl.

CDO Model Repository ===================== CDO is both a technology for distributed shared EMF models and a fast server-based O/R mapping solution. With CDO you can easily enhance your existing ... [More] models in such a way that saving a resource transparently commits the applied changes to a relational database. Optionally other connected clients are actively notified about these changes so that their model copies get partially invalidated and all user interfaces reflect the current state at once. Stored resources are demand-loaded from the database only as needed. CDO uses the Net4j technology as a flexible and scalable signalling backbone. [Less]

The aim of Python DB_DataObject is to be a full equivalent of the PHP module PEAR::DB_DataObject.

The JAVA library which reconciles JDBC and POJO. Start working with POJO without rewriting all your JDBC application. Without any configuration file, without any annotation, use your native SQL request with JDBC and get POJO(s).