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The contents of this page are being merged into the
ChoosingDatabase page.
The contents of this page are being merged into the  ChoosingDatabase page.
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 * PostgresPy: http://python.projects.postgresql.org/  * pg/python: http://python.projects.postgresql.org/
  * pg_proboscis: DB-API 2.0 and GreenTrunk Interfaces http://pypi.python.org/pypi?:action=display&name=pg_proboscis
  * pg_pqueue: PQ 3.0 Protocol elements http://pypi.python.org/pypi?:action=display&name=pg_pqueue
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 * PyDB2: http://sourceforge.net/projects/pydb2
 * mxODBC: http://www.egenix.com/products/python/mxODBC/
  * DB2's native CLI is ODBC compatible and mxODBC can link directly against these libraries. It also supports the DB2 ODBC driver on Windows.
 * More info on ["DB2"]
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TableOfContents

The contents of this page are being merged into the ChoosingDatabase page.

Relational database

Databases based on a relational model, with support for SQL.

PostgreSQL

Oracle

IBM DB2

  • More info on ["DB2"]

Sybase

MaxDB/SAPDB

Informix

Ingres

Native Python Databases

buzhug

[http://buzhug.sourceforge.net/ buzhug] is a pure-Python database engine, using a Pythonic, no-SQL syntax.

The data is stored and accessed on disk (it is not an in-memory database). The implementation has been designed to make all operations, and especially selection, as fast as possible with an interpreted language.

A limited benchmark using the same use cases as SQLite's author shows that buzhug is much faster than other pure-Python modules (KirbyBase, gadfly). SQLite, which is implemented in C, is faster, but only less than 3 times on the average.

SnakeSQL

[http://www.pythonweb.org/projects/snakesql/ SnakeSQL] is a pure Python SQL database written to remove the dependence of the Python Web Modules on 3rd party drivers for non-Python databases like MySQL but designed to be a useful database in its own right.

DatabaseInterfaces (last edited 2020-12-09 09:29:13 by MarcAndreLemburg)

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