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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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== 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/
 * 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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 Supports the ''Oracle Instant Client'' which is available for Windows and many popular Unix platforms.
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== IBM DB2 ==
 * PyDB2: http://sourceforge.net/projects/pydb2
== ODBC Support ==
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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.
nterbasDB: 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/
 * See [[ODBC|ODBC]]
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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/
== ADO Support ==
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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/
 * See [[ADO|ADO]]
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 Note: The Informix ODBC drivers are included in the Informix CSDK.
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== Ingres ==
 * ingresdbi: http://www.ingres.com
= Database Interfaces for Relational Database Systems =


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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== 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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