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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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| * ceODBC: http://ceodbc.sourceforge.net * pyodbc: http://pyodbc.sourceforge.net * [[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 |
* See [[ODBC]] |
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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]] |
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| * [[asql]] | |
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| (To add new entries, please choose DatabaseTemplate when creating the page.) |
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| == buzhug == [[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. ----- 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 |
* [[buzhug]] * [[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
(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
(To add new entries, please choose DatabaseTemplate when creating the page.)