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| Note: The contents of the ChoosingDatabase page are being merged back into this 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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| * 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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| Most Python database interfaces adhere to this standard. | * 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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| * See also DbApiModuleComparison | * See also [[DbApiModuleComparison|DbApiModuleComparison]] |
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| * ceODBC: http://ceodbc.sourceforge.net | |
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| * pyodbc: http://pyodbc.sourceforge.net | * See [[ODBC|ODBC]] |
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| * [[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. * [[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 |
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| * adodbapi (http://adodbapi.sourceforge.net/): A Python module that makes it easy to use Microsoft ADO for connecting to databases and other data sources. | * See [[ADO|ADO]] |
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| * IBM [[DB2]] * [[Firebird]] (and Interbase) * [[Informix]] * [[Ingres]] * [[MySQL]] * [[Oracle]] * [[PostgreSQL]] * [[SAP DB]] (also known as "MaxDB") * Microsoft [[SQL Server]] * [[Sybase]] |
* 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]] |
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| (To add new entries, please choose DatabaseTemplate when creating the page.) | (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.) |
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| * GadFly * [[SQLite]] * [[ThinkSQL]] |
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| (To add new entries, please choose DatabaseTemplate when creating the page.) | * [[asql|asql]] * [[GadFly|GadFly]] * [[SQLite|SQLite]] * [[ThinkSQL|ThinkSQL]] |
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| == Non-Relational Databases == | |
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| * MetaKit * [[ZODB]] * [[BerkeleyDB]] * [[KirbyBase]] * [[Durus]] * [[atop]] * [[buzhug]] |
(To add new entries, please choose [[DatabaseTemplate|DatabaseTemplate]] when creating the page.) |
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| (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. * [[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]] * [[SnakeSQL]] |
* [[buzhug|buzhug]] * [[SnakeSQL|SnakeSQL]] |
Contents
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
See ODBC
ADO Support
See ADO
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)
SAP DB (also known as "MaxDB")
Microsoft SQL Server
Microsoft Access
(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.)