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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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= Relational database =
Databases based on a relational model, with support for SQL.
= Generic Database Interfaces and APIs =
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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/
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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.  * 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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== 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.
 * 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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== 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/
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 Supports the ''Oracle Instant Client'' which is available for Windows and many popular Unix platforms. == ODBC Support ==
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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/
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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  * See [[ODBC|ODBC]]
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== MS Access ==
 * mxODBC: http://www.egenix.com/products/python/mxODBC/
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== MS Desktop Engine ==
 * mxODBC: http://www.egenix.com/products/python/mxODBC/
== ADO Support ==
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== IBM DB2 ==
 * PyDB2: http://sourceforge.net/projects/pydb2
 * mxODBC: http://www.egenix.com/products/python/mxODBC/
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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.  * See [[ADO|ADO]]
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== Firebird/InterBase ==
 * KInterbasDB: http://kinterbasdb.sourceforge.net/
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== Sybase ==
 * sybase: http://www.object-craft.com.au/projects/sybase/
 * mxODBC: http://www.egenix.com/products/python/mxODBC/
= Database Interfaces for Relational Database Systems =
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 Supports Sybase ASE and Sybase Anywhere.
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== MaxDB/SAPDB ==
 * sapdb: http://dev.mysql.com/doc/maxdb/interfaces.html
 * mxODBC: http://www.egenix.com/products/python/mxODBC/
Database systems employing a relational model, with support for SQL.
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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.
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== Informix ==
 * InformixDB: http://informixdb.sourceforge.net/
 * mxODBC: http://www.egenix.com/products/python/mxODBC/
== General Purpose Database Systems ==
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 Note: The Informix ODBC drivers are included in the Informix CSDK.  * 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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== Ingres ==
 * ingresdbi: http://www.ingres.com
(To add new entries, please choose [[DatabaseTemplate|DatabaseTemplate]] when creating the page.)
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== ThinkSQL ==
 * http://www.thinksql.com/
== Data Warehouse Database Systems ==
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== ODBC ==
 * pyodbc: http://pyodbc.sourceforge.net/
 * mxODBC: http://www.egenix.com/products/python/mxODBC/
 * [[Teradata|Teradata]]
 * IBM [[Netezza|Netezza]]
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 Provides ODBC connectivity on Windows, Mac OS X, FreeBSD and most other Unix platforms. (To add new entries, please choose [[DatabaseTemplate|DatabaseTemplate]] when creating the page.)
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 * ODBTPAPI: http://benjiyork.com/odbtp.html == Database Systems for Embedding Into Applications ==
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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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== 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.
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http://www.pythonweb.org/projects/snakesql/  * [[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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