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SQLAlchemy is an open-source Python library that provides an SQL toolkit (called "SQLAlchemy Core") and an Object Relational Mapper (ORM) for database interactions. It allows developers to work with databases using Python objects, enabling efficient and flexible database access.
SQLAlchemy nose: SQLAlchemy-Migrate Repoze.what & Repoze.who pluggable: Genshi, more Support for memcached, and any WSGI compliant system ToscaWidgets, utilizing FormEncode Yes web2py: Python Yes Yes Push Yes Yes Yes Yes Yes Yes Yes Yes Yes [99] BlueBream (Zope 3) Python via add-on products, e.g. Plone w/KSS Yes Pull Yes ZODB, SQLObject, SQLAlchemy
SQL support Datatypes License Description Caché: 2017.2.1 Caché ObjectScript (dynamic language), Basic. Java/.NET object mapping supported. SQL subset. Object notation allowed. Supports embedded SQL, dynamic SQL and xDBC access. Proprietary: MUMPS ancestry. Includes built-in support for XML, Web/AJAX and an EMB system called Ensemble.
The SQL specification defines what an "SQL schema" is; however, databases implement it differently. To compound this confusion the functionality can overlap with that of a parent database. An SQL schema is simply a namespace within a database; things within this namespace are addressed using the member operator dot ".". This seems to be a ...
Yes - Export SQL No No MySQL Workbench: Yes Yes Yes Yes - CSV, HTML, JSON, MS Excel, SQL INSERTS, Tab-separated, XML: Yes - CSV, HTML, JSON, MS Excel, SQL INSERTS, Tab-separated, XML: Yes No Oracle SQL Developer: Yes Yes Yes Yes Yes Yes Yes Yes pgAdmin: Yes Yes No CSV, Text, or binary CSV, text, HTML, XML: Yes No phpMyAdmin: Yes Some Yes
A Data Mapper is a Data Access Layer that performs bidirectional transfer of data between a persistent data store (often a relational database) and an in-memory data representation (the domain layer). The goal of the pattern is to keep the in-memory representation and the persistent data store independent of each other and the data mapper itself.
They have many differences, though, in particular: lifecycle management (row insertion and deletion, versus garbage collection or reference counting), references to other entities (object references, versus foreign key references), and inheritance (non-existent in relational databases). As well, objects are managed on-heap and are under full ...
SQL is a well known query language and data manipulation language for relational databases; XQuery is a query language for XML data sources; XPath is a declarative language for navigating XML documents; YQL is an SQL-like query language created by Yahoo! Search engine query languages, e.g., as used by Google [5] or Bing [6]