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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()]]''
This page lists database interfaces available for Python. It may also help in finding a suitable database engine for you to use in your Python database applications.
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= Generic Database Interfaces and APIs =
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[[TableOfContents]]
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See also HigherLevelDatabaseProgramming  * The Python standard for database interfaces is the [[http://www.python.org/dev/peps/pep-0249/|Python DB-API (PEP 249)]] Most Python database interfaces adhere to this standard.
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= DBMS interfaces =
Things you connect to.
 * 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|DbApiModuleComparison]]
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Take a look at
http://www.python.org/topics/database/modules.html and
http://dmoz.org/Computers/Programming/Languages/Python/Modules/Databases_and_Persistence/.
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== MySQL ==
 * mysqldb module http://www.mysql.com/downloads/api-python.html
 * SnakeDb (http://www.scriptfoundry.com/modules/snakedb/)
== ODBC Support ==
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== PostgreSQL ==
 * psycopg
  * psycopg1: http://initd.org/projects/psycopg1
  * psycopg2: http://initd.org/projects/psycopg2
 * pyPgSQL (http://pypgsql.sf.net/)
 * ["sipPQ"]
 * PyGreSQL (http://www.pygresql.org) and PoPy (http://sourceforge.net/projects/popy) are [http://archives.postgresql.org/pgsql-announce/2003-07/msg00002.php 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.
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== Oracle ==  * See [[ODBC|ODBC]]
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See ["Oracle"] for details, there are two choices:
 * dcOracle
 * cx_Oracle
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== Firebird/Interbase ==
 * KInterbasDB (http://kinterbasdb.sourceforge.net/)
== ADO Support ==
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== Sybase ==
module developed by Dave Cole http://www.object-craft.com.au/projects/sybase/
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== MSSQL ==
 * by Dave Cole: http://www.object-craft.com.au/projects/mssql/
 * pymssql: http://pymssql.sourceforge.net/
 * See [[ADO|ADO]]
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== DB2 ==
 * PyDB2: http://sourceforge.net/projects/pydb2
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== BerkeleyDb == = Database Interfaces for Relational Database Systems =
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== ThinkSQL ==
 * Pure Python DB-API 2.0 module http://www.thinksql.co.uk
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== Informix ==
 * DB-API 2.0 module available here: http://informixdb.sourceforge.net/
Database systems employing a relational model, with support for SQL.


== General Purpose Database Systems ==

 * IBM [[DB2|DB2]]
 * [[Firebird|Firebird]] (and Interbase)
 * [[Informix|Informix]]
 * [[Ingres|Ingres]]
 * [[MySQL|MySQL]]
 * [[Oracle|Oracle]]
 * [[PostgreSQL|PostgreSQL]]
 * [[SAP DB|SAP DB]] (also known as "MaxDB")
 * Microsoft [[SQL Server|SQL Server]]
 * Microsoft [[Microsoft Access|Access]]
 * [[Sybase|Sybase]]
 * [[InterSystems IRIS]]

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

== Data Warehouse Database Systems ==

 * [[Teradata|Teradata]]
 * IBM [[Netezza|Netezza]]

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

== Database Systems for Embedding Into Applications ==


The following database systems are more oriented towards embedded applications:


 * [[asql|asql]]
 * [[GadFly|GadFly]]
 * [[SQLite|SQLite]]
 * [[ThinkSQL|ThinkSQL]]


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


= Non-Relational Databases =


== Record-based Databases ==


Databases working on flat files or fixed records.


 * [[MetaKit|MetaKit]]
 * [[ZODB|ZODB]]
 * [[BerkeleyDB|BerkeleyDB]]
 * [[KirbyBase|KirbyBase]]
 * [[Durus|Durus]]
 * [[atop|atop]]
 * [[buzhug|buzhug]]


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


== XML Databases ==


 * 4Suite server
 * Oracle/Sleepycat DB XML ([[http://jimmyg.org/blog/2008/oracle-db-xml-was-sleepycat.html|howto]])


== Graph Databases ==


 * [[Neo4j|Neo4j]]


(To add new entries, please choose [[DatabaseTemplate|DatabaseTemplate]] when creating the page.)
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== Gadfly ==
Gadfly is a simple relational database system implemented in Python based on the SQL Structured Query Language.
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http://gadfly.sourceforge.net/

== 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.

http://www.pythonweb.org/projects/snakesql/

== ZODB ==
http://www.zope.org/Wikis/ZODB Zope Object DB

== 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.

== KirbyBase ==
http://www.netpromi.com/kirbybase.html


= 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/index.html - working now. or (take it [http://starship.python.net/crew/jjkunce/python/dbfpy.tgz here])
 * http://www.sequiter.com/products/Python/
 * http://cbbrowne.com/info/xbase.html
 * http://www.e-bachmann.dk/docs/xbase.htm - dead link

== 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 ==
 * pysqlite: http://pysqlite.org/
  * Have versions for both SQLite 2 and 3.
 * APSW: http://www.rogerbinns.com/apsw.html
  * SQLite 3 only.
  * Not DBAPI compliant. Focus on wrapping all SQLite APIs.

= XML Databases or Interfaces =

== Forest ==

[http://cvs.infrae.com/forest/ Forest] is a (native) XML database written in Python. It is intended to
support fast queries of XML data.


== 4ODS ==

http://www.4suite.org/


= Object-Relational Mappers =

[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.

[http://www.tux4web.de/orm ORM] The Object Relational Membrane is a Python package that provides the functionality of an object relational layer like EJB or other persistence storage systems. It is a thin compatibility layer between SQL table layouts and Object Oriented Python. While providing a good deal of functionality, it tries to be as small and simple as possible. It works with PostgreSQL and MySQL.

[http://www.qlime.org/ QLime] Easy to use, transparent data access to relational databases or other data sources. See examples here: http://www.qlime.org/example.rst

See also HigherLevelDatabaseProgramming.

= 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/
 * PyTables
 * [[buzhug|buzhug]]
 * [[SnakeSQL|SnakeSQL]]

This page lists database interfaces available for Python. It may also help in finding a suitable database engine for you to use in your Python database applications.

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.)

Data Warehouse 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

Record-based Databases

Databases working on flat files or fixed records.

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

XML Databases

  • 4Suite server
  • Oracle/Sleepycat DB XML (howto)

Graph Databases

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

Native Python Databases

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

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