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== Oracle ==

 * cx_Oracle: http://www.python.net/crew/atuining/cx_Oracle/

 * DCOracle: http://www.zope.org/Products/DCOracle/
  * This is for old Oracle versions (7 and 8).

 * DCOracle2: http://www.zope.org/Members/matt/dco2
  * For Oracle 8i and up.

 * mxODBC: http://www.egenix.com/products/python/mxODBC/
  * Supports the [[http://www.oracle.com/technology/tech/oci/instantclient/index.html|Oracle Instant Client]] which is available for Windows and many popular Unix platforms.

== IBM DB2 ==

 * More info on [[DB2]]

== Sybase ASE ==

 * sybase
  * old: http://www.object-craft.com.au/projects/sybase/
  * new: http://python-sybase.sourceforge.net/

 * mxODBC: http://www.egenix.com/products/python/mxODBC/
  * Supports Sybase ASE.

== Sybase SQL Anywhere ==

 * sqlanydb: http://dcx.sybase.com/1100en/dbprogramming_en11/pg-python.html
  * Implements with extensions Database API 2.0

 * mxODBC: http://www.egenix.com/products/python/mxODBC/
  * Supports SQL Anywhere.

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

Generic Database Interfaces and APIs

  • The Python standard for database interfaces is the Python DB-API (PEP 249) Most Python database interfaces adhere to this standard.

  • Most databases have ODBC support; see the section below on ODBC modules.
  • Java databases usually support JDBC, and can be used from Jython.
  • See also DbApiModuleComparison

ODBC Support

ADO Support

Database Interfaces for Relational Database Systems

Database systems employing a relational model, with support for SQL.

General Purpose Database Systems

(To add new entries, please choose DatabaseTemplate when creating the page.)

Database Systems for Embedding Into Applications

The following database systems are more oriented towards embedded applications:

(To add new entries, please choose DatabaseTemplate when creating the page.)

Non-Relational Databases

Native Python Databases


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 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.

These entries still need to be merged into the resp. sub-pages:




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

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