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  ''This page seems to duplicate ChoosingDatabase, wouldn't it be better to merge shelve and the rest there? -- DanielDittmar [[DateTime(2003-02-11T23:15:22)]]'' [[TableOfContents]]
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  ''I don't think so. Now they surely have to be refactored both, but ChoosingDatabase seems to be a good page for one place for categorized comparision to narrow novice's choice while that is merely a catalog. -- MikeRovner [[DateTime(2003-02-11T16:50:45)]]''

  ''I seems missed DbApiModuleComparison page. Probably I better combine them with links from both places. -- MikeRovner [[DateTime()]]''
The contents of this page are being merged into the
ChoosingDatabase page.
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[[TableOfContents]]

= DBMS interfaces =
Things you connect to.

Take a look at
http://www.python.org/topics/database/modules.html and
http://dmoz.org/Computers/Programming/Languages/Python/Modules/Databases_and_Persistence/.

== MySQL ==
 * mysqldb module http://www.mysql.com/downloads/api-python.html
 * SnakeDb (http://www.scriptfoundry.com/modules/snakedb/)
= Relational database =
Databases based on a relational model, with support for SQL.
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pypgsql (http://pypgsql.sf.net/)  * psycopg
  * psycopg1: http://initd.org/projects/psycopg1
  * psycopg2: http://initd.org/projects/psycopg2
 * pyPgSQL: http://pypgsql.sourceforge.net/
 * PyGreSQL: http://www.pygresql.org/
 * PoPy: http://sourceforge.net/projects/popy
  * PoPy and PyGreSQL are [http://www.zope.org/Members/tm/Full_Announce merging]
 * PostgresPy: http://python.projects.postgresql.org/
 * pgasync: http://jamwt.com/pgasync/
  * Asynchronous and pure Python. Speed comparable to C bindings. Special support for Twisted.
 * bpgsql: http://barryp.org/software/bpgsql/
  * Barebones pure-Python PostgreSQL client
 * ["sipPQ"]
 * mxODBC: http://www.egenix.com/products/python/mxODBC/

 Supports the PostgreSQL ODBC driver on both Windows and Unix. Note that you have to enable the advanced option "Use bytea for lo" in case you want to work with BLOBs.
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 * 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/
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See ["Oracle"] for details, there are two choices:
 * dcOracle
 * cx_Oracle
 Supports the ''Oracle Instant Client'' which is available for Windows and many popular Unix platforms.

== IBM DB2 ==
 * PyDB2: http://sourceforge.net/projects/pydb2

DB2's native CLI is ODBC compatible and mxODBC can link directly against these libraries. It also supports the DB2 ODBC driver on Windows.
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module developed by Dave Cole http://www.object-craft.com.au/projects/sybase/  * sybase: http://www.object-craft.com.au/projects/sybase/
 * mxODBC: http://www.egenix.com/products/python/mxODBC/
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== MSSQL ==  Supports Sybase ASE and Sybase Anywhere.
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== BerkeleyDb == == MaxDB/SAPDB ==
 * sapdb: http://dev.mysql.com/doc/maxdb/interfaces.html
 * mxODBC: http://www.egenix.com/products/python/mxODBC/
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 MaxDB/SAPDB's native CLI is ODBC compatible and mxODBC can link directly against the CLI libs on Unix. It also supports the ODBC driver on Windows.

== Informix ==
 * InformixDB: http://informixdb.sourceforge.net/
 * mxODBC: http://www.egenix.com/products/python/mxODBC/

 Note: The Informix ODBC drivers are included in the Informix CSDK.

== Ingres ==
 * ingresdbi: http://www.ingres.com
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== gadfly ==
Gadfly is a simple relational database system implemented in Python based on the SQL Structured Query Language.
Currently use C-extension module for speed. Pure Python version included.
http://gadfly.sourceforge.net/
== buzhug ==
[http://buzhug.sourceforge.net/ buzhug] is a pure-Python database engine, using a Pythonic, no-SQL syntax.
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== ZODB ==
http://www.zope.org/Wikis/ZODB Zope Object DB
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.
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== shelve ==
A [http://www.python.org/doc/current/lib/module-shelve.html ''shelf''] is a persistent, dictionary-like object. The difference with ''dbm'' databases is that the values (not the keys!) in a shelf can be essentially arbitrary Python objects -- anything that the [http://www.python.org/doc/current/lib/module-pickle.html pickle] module can handle. This includes most class instances, recursive data types, and objects containing lots of shared sub-objects. The keys are ordinary strings.
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.
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= Datafiles interfaces =
Things you open.

== xBase ==
Which stands for .dbf files interface.[[BR]]
.dbf files were produced by several old systems like dBase(II,III,IV), Fox(Base,Pro)
 * xBase (http://linux.techass.com/projects/xdb/) - Python interface in plans
 * http://www.fiby.at/dbfpy.html
 * http://www.sequiter.com/products/Python/
 * http://cbbrowne.com/info/xbase.html
 * http://www.e-bachmann.dk/docs/xbase.htm

== dbm ==
A family of old unix plain hash tables. Has varieties like dbm, ndbm, gdbm, dbmdb185.[[BR]]
See [http://www.python.org/doc/current/lib/module-anydbm.html anydbm],
[http://www.python.org/doc/current/lib/module-dumbdbm.html dumbdbm],
[http://www.python.org/doc/current/lib/module-dbhash.html dbhash],
[http://www.python.org/doc/current/lib/module-bsddb.html bsddb],
[http://www.python.org/doc/current/lib/module-dbm.html dbm],
[http://www.python.org/doc/current/lib/module-gdbm.html gdbm]
in Python Standard Library.

== MetaKit ==
http://www.equi4.com/metakit/python.html

== SQLite ==
Actualy it's a full-fleged SQL server, but embeddable. No external SQL server required. Think of Gadfly, only faster.
http://PySQLite.sf.net

= XML Databases or Interfaces =

== Forest ==

http://cvs.infrae.com/forest/

== 4ODS ==

http://www.4suite.org/


= Object-Relational Mappers =

== SQLObject ==

[http://sqlobject.org SQLObject] is an object-relational mapper. It allows you to translate
RDBMS table rows into Python objects, and manipulate those objects to
transparently manipulate the database.


= Special file interface =

 * http://python-dsv.sourceforge.net/ CSV or any separated file (see also PEP:0305)
 * ConfigParser.py - Windows .ini format
 * gzip.py
 * zipfile.py
 * tar
 * pdf http://www.pythonware.com/
== 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.

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

DB2's native CLI is ODBC compatible and mxODBC can link directly against these libraries. It also supports the DB2 ODBC driver on Windows.

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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