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[[TableOfContents]] <<TableOfContents>>
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The contents of this page are being merged into the
ChoosingDatabase page.		 Note: The contents of the ChoosingDatabase page are being merged back into this page.
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= Generic Database Interfaces and APIs =
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= Relational database =
Databases based on a relational model, with support for SQL.		  * The Python standard for database interfaces is the [[http://www.python.org/dev/peps/pep-0249/|Python DB-API (PEP 249)]]
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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]
 * pg/python: http://python.projects.postgresql.org/
  * pg_proboscis: DB-API 2.0 and GreenTrunk Interfaces [http://pypi.python.org/pypi?:action=display&name=pg_proboscis]
  * pg_pqueue: PQ 3.0 Protocol elements [http://pypi.python.org/pypi?:action=display&name=pg_pqueue]
 * 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/
  * Supports the [http://www.postgresql.org/ftp/odbc/versions/ 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 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/
  * Supports the [http://www.oracle.com/technology/tech/oci/instantclient/index.html Oracle Instant Client] which is available for Windows and many popular Unix platforms.		  * 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
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== IBM DB2 ==
 * PyDB2: http://sourceforge.net/projects/pydb2
 * mxODBC: http://www.egenix.com/products/python/mxODBC/
  * DB2's native CLI is ODBC compatible and mxODBC can link directly against these libraries. It also supports the DB2 ODBC driver on Windows.		 == ODBC Support ==
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== Sybase ==
 * sybase: http://www.object-craft.com.au/projects/sybase/
 * mxODBC: http://www.egenix.com/products/python/mxODBC/
  * Supports Sybase ASE and Sybase Anywhere.		  * ceODBC: http://ceodbc.sourceforge.net
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== MaxDB/SAPDB ==
 * sapdb: http://dev.mysql.com/doc/maxdb/interfaces.html
 * mxODBC: http://www.egenix.com/products/python/mxODBC/
  * 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.		  * pyodbc: http://pyodbc.sourceforge.net
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== Informix ==
 * InformixDB: http://informixdb.sourceforge.net/
 * mxODBC: http://www.egenix.com/products/python/mxODBC/
  * Note: The Informix ODBC drivers are included in the Informix CSDK.		  * [[http://www.egenix.com/products/python/mxODBC|mxODBC]]: A commercial Python extension that provides ODBC connectivity on Windows, Linux, Mac OS X, FreeBSD and many other Unix platforms.
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== Ingres ==
 * ingresdbi: http://www.ingres.com		  * [[http://www.egenix.com/products/python/mxODBCConnect|mxODBC Connect]]: A commercial client-server product that allows connecting Python to ODBC compatible databases running on remote servers without requiring an ODBC driver on the client side.

 * ODBTPAPI: http://benjiyork.com/odbtp.html

== ADO Support ==

 * adodbapi (http://adodbapi.sourceforge.net/): A Python module that makes it easy to use Microsoft ADO for connecting to databases and other data sources.

= Database Interfaces for Relational Database Systems =

Database systems employing a relational model, with support for SQL.

== General Purpose Database Systems ==

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

(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:

  * GadFly
  * [[SQLite]]
  * [[ThinkSQL]]

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

== Non-Relational Databases ==

  * MetaKit
  * [[ZODB]]
  * [[BerkeleyDB]]
  * [[KirbyBase]]
  * [[Durus]]
  * [[atop]]
  * [[buzhug]]
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[http://buzhug.sourceforge.net/ buzhug] is a pure-Python database engine, using a Pythonic, no-SQL syntax.
[[http://buzhug.sourceforge.net/|buzhug]] is a pure-Python database engine, using a Pythonic, no-SQL syntax.
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[http://www.pythonweb.org/projects/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/|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.

-----

These entries still need to be merged into the resp. sub-pages:

== 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/
  * Supports the [[http://www.oracle.com/technology/tech/oci/instantclient/index.html|Oracle Instant Client]] which is available for Windows and many popular Unix platforms.

== IBM DB2 ==

 * More info on [[DB2]]

== Sybase ASE ==

 * sybase
  * old: http://www.object-craft.com.au/projects/sybase/
  * new: http://python-sybase.sourceforge.net/

 * mxODBC: http://www.egenix.com/products/python/mxODBC/
  * Supports Sybase ASE.

== Sybase SQL Anywhere ==

 * sqlanydb: http://dcx.sybase.com/1100en/dbprogramming_en11/pg-python.html
  * Implements with extensions Database API 2.0

 * mxODBC: http://www.egenix.com/products/python/mxODBC/
  * Supports SQL Anywhere.

== MaxDB/SAPDB ==

 * sdb: http://help.sap.com/saphelp_nw04s/helpdata/en/3c/5c02409d59ea69e10000000a155106/frameset.htm

 * mxODBC: http://www.egenix.com/products/python/mxODBC/
  * 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.

== Informix ==

 * InformixDB: http://informixdb.sourceforge.net/

 * mxODBC: http://www.egenix.com/products/python/mxODBC/
  * Note: The Informix ODBC drivers are included in the Informix CSDK.

== Ingres ==

 * ingresdbi: http://www.ingres.com

Contents

  1. Generic Database Interfaces and APIs
    1. ODBC Support
    2. ADO Support
  2. Database Interfaces for Relational Database Systems
    1. General Purpose Database Systems
    2. Database Systems for Embedding Into Applications
    3. Non-Relational Databases
  3. Native Python Databases
    1. buzhug
    2. SnakeSQL
    3. Oracle
    4. IBM DB2
    5. Sybase ASE
    6. Sybase SQL Anywhere
    7. MaxDB/SAPDB
    8. Informix
    9. Ingres

Note: The contents of the ChoosingDatabase page are being merged back into this page.

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.)

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

Native Python Databases

buzhug

buzhug is a pure-Python database engine, using a Pythonic, no-SQL syntax.

The data is stored and accessed on disk (it is not an in-memory database). The implementation has been designed to make all operations, and especially selection, as fast as possible with an interpreted language.

A limited benchmark using the same use cases as SQLite's author shows that buzhug is much faster than other pure-Python modules (KirbyBase, gadfly). SQLite, which is implemented in C, is faster, but only less than 3 times on the average.

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.

These entries still need to be merged into the resp. sub-pages:

Oracle

IBM DB2

  • More info on DB2

Sybase ASE

Sybase SQL Anywhere

MaxDB/SAPDB

Informix

Ingres

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

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