Differences between revisions 75 and 113 (spanning 38 versions)
Revision 75 as of 2007-06-16 01:53:02
Size: 4202
Comment:
Revision 113 as of 2020-12-09 09:29:13
Size: 2681
Comment: Add InterSystems IRIS
Deletions are marked like this. Additions are marked like this.
Line 1: Line 1:
[[TableOfContents]] <<TableOfContents>>
Line 3: Line 3:
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.
Line 7: Line 6:
= Relational database =
Databases based on a relational model, with support for SQL.
= Generic Database Interfaces and APIs =
Line 10: Line 8:
== 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/
Line 26: Line 9:
 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.
Line 28: Line 11:
== 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]]
Line 35: Line 15:
== 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/
Line 43: Line 16:
 Supports the ''Oracle Instant Client'' which is available for Windows and many popular Unix platforms. == ODBC Support ==
Line 45: Line 18:
== 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/
Line 50: Line 19:
 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]]
Line 52: Line 21:
== MS Access ==
 * mxODBC: http://www.egenix.com/products/python/mxODBC/
Line 55: Line 22:
== MS Desktop Engine ==
 * mxODBC: http://www.egenix.com/products/python/mxODBC/
== ADO Support ==
Line 58: Line 24:
== IBM DB2 ==
 * PyDB2: http://sourceforge.net/projects/pydb2
 * mxODBC: http://www.egenix.com/products/python/mxODBC/
Line 62: Line 25:
 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]]
Line 64: Line 27:
== Firebird/InterBase ==
 * KInterbasDB: http://kinterbasdb.sourceforge.net/
Line 67: Line 28:
== Sybase ==
 * sybase: http://www.object-craft.com.au/projects/sybase/
 * mxODBC: http://www.egenix.com/products/python/mxODBC/
= Database Interfaces for Relational Database Systems =
Line 71: Line 30:
 Supports Sybase ASE and Sybase Anywhere.
Line 73: Line 31:
== 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.
Line 77: Line 33:
 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.
Line 79: Line 34:
== Informix ==
 * InformixDB: http://informixdb.sourceforge.net/
 * mxODBC: http://www.egenix.com/products/python/mxODBC/
== General Purpose Database Systems ==
Line 83: Line 36:
 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]]
Line 85: Line 49:
== Ingres ==
 * ingresdbi: http://www.ingres.com
(To add new entries, please choose [[DatabaseTemplate|DatabaseTemplate]] when creating the page.)
Line 88: Line 51:
== ThinkSQL ==
 * http://www.thinksql.com/
== Data Warehouse Database Systems ==
Line 91: Line 53:
== ODBC ==
 * pyodbc: http://pyodbc.sourceforge.net/
 * mxODBC: http://www.egenix.com/products/python/mxODBC/
 * [[Teradata|Teradata]]
 * IBM [[Netezza|Netezza]]
Line 95: Line 56:
 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.)
Line 97: Line 58:
 * ODBTPAPI: http://benjiyork.com/odbtp.html == Database Systems for Embedding Into Applications ==
Line 99: Line 60:
== 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.)
Line 104: Line 112:
== 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.
Line 107: Line 113:
http://www.pythonweb.org/projects/snakesql/


= 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/
 * [[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)

Unable to edit the page? See the FrontPage for instructions.