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[[TableOfContents]] <<TableOfContents>>
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The contents of this page are being merged into the
ChoosingDatabase page.
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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DatabaseProgramming
= See also =
 * ChoosingDatabase
 * DbApiModuleComparison
 * HigherLevelDatabaseProgramming
 * [http://dmoz.org/Computers/Programming/Languages/Python/Modules/Databases_and_Persistence/ Category in the Open Directory Project]
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= Relational database =
Databases based on a relational model, with support for SQL.
= Generic Database Interfaces and APIs =
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== MySQL ==
 * MySQLdb
   * [http://sourceforge.net/projects/mysql-python SourceForge Project]: Download, report bugs, forums
   * [http://dev.mysql.com/downloads/python.html MySQL AB]: MySQL on-line documentation, additional forums (maintainer does not currently read these)
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== PostgreSQL ==
 * 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/
 * 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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 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.  * 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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== SQLite ==
 * pysqlite: http://pysqlite.org/
  * Have versions for both SQLite 2 and 3.
 * APSW: http://www.rogerbinns.com/apsw.html
  * SQLite 3 only.
  * Not DB-API compliant. Focus on wrapping all SQLite APIs.
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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/
== ODBC Support ==
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 Supports the ''Oracle Instant Client'' which is available for Windows and many popular Unix platforms.
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== MS SQL Server ==
 * mssql: http://www.object-craft.com.au/projects/mssql/
 * pymssql: http://pymssql.sourceforge.net/
 * mxODBC: http://www.egenix.com/products/python/mxODBC/
 * See [[ODBC|ODBC]]
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 Supports the MS SQL Server ODBC driver on Windows and the Actual Technologies ODBC driver for MS SQL Server on Mac OS X
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== MS Access ==
 * mxODBC: http://www.egenix.com/products/python/mxODBC/
== ADO Support ==
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== MS Desktop Engine ==
 * mxODBC: http://www.egenix.com/products/python/mxODBC/
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== IBM DB2 ==
 * PyDB2: http://sourceforge.net/projects/pydb2
 * mxODBC: http://www.egenix.com/products/python/mxODBC/
 * See [[ADO|ADO]]
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 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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== Firebird/InterBase ==
 * KInterbasDB: http://kinterbasdb.sourceforge.net/
= Database Interfaces for Relational Database Systems =
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== Sybase ==
 * sybase: http://www.object-craft.com.au/projects/sybase/
 * mxODBC: http://www.egenix.com/products/python/mxODBC/
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 Supports Sybase ASE and Sybase Anywhere. Database systems employing a relational model, with support for SQL.
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== 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. == General Purpose Database Systems ==
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== Informix ==
 * InformixDB: http://informixdb.sourceforge.net/
 * mxODBC: http://www.egenix.com/products/python/mxODBC/
 * 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]]
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 Note: The Informix ODBC drivers are included in the Informix CSDK. (To add new entries, please choose [[DatabaseTemplate|DatabaseTemplate]] when creating the page.)
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== Ingres ==
 * ingresdbi: http://www.ingres.com/products/Prod_Download_Drivers.html
== Data Warehouse Database Systems ==
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== ThinkSQL ==
 * http://www.thinksql.com/
 * [[Teradata|Teradata]]
 * IBM [[Netezza|Netezza]]
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== ODBC ==
 * pyodbc: http://pyodbc.sourceforge.net/
 * mxODBC: http://www.egenix.com/products/python/mxODBC/
(To add new entries, please choose [[DatabaseTemplate|DatabaseTemplate]] when creating the page.)
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 Provides ODBC connectivity on Windows, Mac OS X, FreeBSD and most other Unix platforms. == Database Systems for Embedding Into Applications ==
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 * ODBTPAPI: http://benjiyork.com/odbtp.html
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== ADO ==
 * adodbapi: http://adodbapi.sourceforge.net/
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 ==
Zope Object Database.

 * http://www.zope.org/Wikis/ZODB/FrontPage
 * DirectoryStorage: http://dirstorage.sourceforge.net/
 * PGStorage: http://hathawaymix.org/Software/PGStorage

== Durus ==
Durus is a persistent object system for applications written in the Python programming language. Durus offers an easy way to use and maintain a consistent collection of object instances used by one or more processes. Access and change of a persistent instances is managed through a cached Connection instance which includes commit() and abort() methods so that changes are transactional.

http://www.mems-exchange.org/software/durus/

== Pypersyst ==
Pypersyst provides fast, reliable, and flexible object persistence with a small footprint, suitable for embedding in other Python applications.

http://pypersyst.org/

== 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

= XML Databases or Interfaces =

== Forest ==
Forest is a (native) XML database written in Python. It is intended to support fast queries of XML data.

https://infrae.com/viewvc/old/forest/

== 4ODS ==

http://www.4suite.org/

== xsdbXML ==
http://xsdb.sourceforge.net/

= 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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