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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 =
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Databases based on a relational model, with support for SQL. = Generic Database Interfaces and APIs =
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== MySQL ==
mysql-python: http://sourceforge.net/projects/mysql-python
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== PostgreSQL ==  * 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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 * psycopg
  * psycopg1: http://initd.org/projects/psycopg1
  * psycopg2: http://initd.org/projects/psycopg2		  * 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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 * pyPgSQL: http://pypgsql.sourceforge.net/
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 * PyGreSQL: http://www.pygresql.org/ == ODBC Support ==
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 * PoPy: http://sourceforge.net/projects/popy
  * PoPy and PyGreSQL are [http://www.zope.org/Members/tm/Full_Announce merging]
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 * pg/python: http://python.projects.postgresql.org/
  * pg_proboscis: DB-API 2.0 and GreenTrunk Interfaces http://python.projects.postgresql.org/project/pg_proboscis.html
  * pg_pqueue: PQ 3.0 Protocol elements http://python.projects.postgresql.org/project/pg_pqueue.html		  * See [[ODBC|ODBC]]
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 * pgasync: http://jamwt.com/pgasync/
  * Asynchronous and pure Python. Speed comparable to C bindings. Special support for Twisted.
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 * bpgsql: http://barryp.org/software/bpgsql/
  * Barebones pure-Python PostgreSQL client		 == ADO Support ==
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 * ["sipPQ"]
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 * 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.		  * See [[ADO|ADO]]
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== Oracle ==
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 * cx_Oracle: http://www.python.net/crew/atuining/cx_Oracle/ = Database Interfaces for Relational Database Systems =
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 * DCOracle: http://www.zope.org/Products/DCOracle/
  * This is for old Oracle versions (7 and 8).
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 * DCOracle2: http://www.zope.org/Members/matt/dco2
  * For Oracle 8i and up.		 Database systems employing a relational model, with support for SQL.
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 * 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.
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== IBM DB2 == == General Purpose Database Systems ==
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 * More info on ["DB2"]  * 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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== Sybase == (To add new entries, please choose [[DatabaseTemplate|DatabaseTemplate]] when creating the page.)
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 * sybase: http://www.object-craft.com.au/projects/sybase/ == Data Warehouse Database Systems ==
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 * mxODBC: http://www.egenix.com/products/python/mxODBC/
  * Supports Sybase ASE and Sybase Anywhere.		  * [[Teradata|Teradata]]
 * IBM [[Netezza|Netezza]]
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== MaxDB/SAPDB == (To add new entries, please choose [[DatabaseTemplate|DatabaseTemplate]] when creating the page.)
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 * sapdb: http://dev.mysql.com/doc/maxdb/interfaces.html == Database Systems for Embedding Into Applications ==
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 * 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.
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== Informix == The following database systems are more oriented towards embedded applications:
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 * InformixDB: http://informixdb.sourceforge.net/
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 * mxODBC: http://www.egenix.com/products/python/mxODBC/
  * Note: The Informix ODBC drivers are included in the Informix CSDK.		  * [[asql|asql]]
 * [[GadFly|GadFly]]
 * [[SQLite|SQLite]]
 * [[ThinkSQL|ThinkSQL]]
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== Ingres ==
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 * ingresdbi: http://www.ingres.com (To add new entries, please choose [[DatabaseTemplate|DatabaseTemplate]] when creating the page.)
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== Microsoft SQL Server ==
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 * See ["SQL_Server"] = 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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== buzhug ==
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[http://buzhug.sourceforge.net/ 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 ==

[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.		  * [[buzhug|buzhug]]
 * [[SnakeSQL|SnakeSQL]]

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. Data Warehouse Database Systems
    3. Database Systems for Embedding Into Applications
  3. Non-Relational Databases
    1. Record-based Databases
    2. XML Databases
    3. Graph Databases
  4. Native Python Databases

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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