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| ''This page seems to duplicate ChoosingDatabase, wouldn't it be better to merge shelve and the rest there? -- DanielDittmar [[DateTime(2003-02-11T23:15:22)]]'' | <<TableOfContents>> |
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| ''I don't think so. Now they surely have to be refactored both, but ChoosingDatabase seems to be a good page for one place for categorized comparision to narrow novice's choice while that is merely a catalog. -- MikeRovner [[DateTime(2003-02-11T16:50:45)]]'' | Note: The contents of the ChoosingDatabase page are being merged back into this page. |
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| ''I seems missed DbApiModuleComparison page. Probably I better combine them with links from both places. -- MikeRovner [[DateTime()]]'' | = Generic Database Interfaces and APIs = |
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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. | |
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| [[TableOfContents]] | * 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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| = DBMS interfaces = Things you connect to. |
== ODBC Support == |
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| Take a look at http://www.python.org/topics/database/modules.html and http://dmoz.org/Computers/Programming/Languages/Python/Modules/Databases_and_Persistence/. |
* ceODBC: http://ceodbc.sourceforge.net |
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| == MySQL == * mysqldb module http://www.mysql.com/downloads/api-python.html * SnakeDb (http://www.scriptfoundry.com/modules/snakedb/) |
* pyodbc: http://pyodbc.sourceforge.net |
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| == PostgreSQL == pypgsql (http://pypgsql.sf.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. |
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| == Oracle == | * [[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. |
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| See ["Oracle"] for details, there are two choices: * dcOracle * cx_Oracle |
* ODBTPAPI: http://benjiyork.com/odbtp.html |
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| == Sybase == module developed by Dave Cole http://www.object-craft.com.au/projects/sybase/ |
== ADO Support == |
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| == MSSQL == | * adodbapi (http://adodbapi.sourceforge.net/): A Python module that makes it easy to use Microsoft ADO for connecting to databases and other data sources. |
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| == BerkeleyDb == | = Database Interfaces for Relational Database Systems = |
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| 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]] (To add new entries, please choose DatabaseTemplate when creating the page.) |
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| == gadfly == Gadfly is a simple relational database system implemented in Python based on the SQL Structured Query Language. Currently use C-extension module for speed. Pure Python version included. http://gadfly.sourceforge.net/ == ZODB == http://www.zope.org/Wikis/ZODB Zope Object DB == shelve == A [http://www.python.org/doc/current/lib/module-shelve.html ''shelf''] is a persistent, dictionary-like object. The difference with ''dbm'' databases is that the values (not the keys!) in a shelf can be essentially arbitrary Python objects -- anything that the [http://www.python.org/doc/current/lib/module-pickle.html pickle] module can handle. This includes most class instances, recursive data types, and objects containing lots of shared sub-objects. The keys are ordinary strings. = Datafiles interfaces = Things you open. == xBase == Which stands for .dbf files interface.[[BR]] .dbf files were produced by several old systems like dBase(II,III,IV), Fox(Base,Pro) * xBase (http://linux.techass.com/projects/xdb/) - Python interface in plans * http://www.fiby.at/dbfpy.html * http://www.sequiter.com/products/Python/ * http://cbbrowne.com/info/xbase.html * http://www.e-bachmann.dk/docs/xbase.htm == dbm == A family of old unix plain hash tables. Has varieties like dbm, ndbm, gdbm, dbmdb185.[[BR]] See [http://www.python.org/doc/current/lib/module-anydbm.html anydbm], [http://www.python.org/doc/current/lib/module-dumbdbm.html dumbdbm], [http://www.python.org/doc/current/lib/module-dbhash.html dbhash], [http://www.python.org/doc/current/lib/module-bsddb.html bsddb], [http://www.python.org/doc/current/lib/module-dbm.html dbm], [http://www.python.org/doc/current/lib/module-gdbm.html gdbm] in Python Standard Library. == MetaKit == http://www.equi4.com/metakit/python.html == SQLite == Actualy it's a full-fleged SQL server, but embeddable. No external SQL server required. Think of Gadfly, only faster. http://PySQLite.sf.net = XML Databases or Interfaces = == Forest == [http://cvs.infrae.com/forest/ Forest] is a (native) XML database written in Python. It is intended to support fast queries of XML data. == 4ODS == http://www.4suite.org/ = Object-Relational Mappers = == SQLObject == [http://sqlobject.org SQLObject] is an object-relational mapper. It allows you to translate RDBMS table rows into Python objects, and manipulate those objects to transparently manipulate the database. = Special file interface = * http://python-dsv.sourceforge.net/ CSV or any separated file (see also PEP:0305) * ConfigParser.py - Windows .ini format * gzip.py * zipfile.py * tar * pdf http://www.pythonware.com/ * PyTables |
* [[buzhug]] * [[SnakeSQL]] |
Contents
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
ceODBC: http://ceodbc.sourceforge.net
pyodbc: http://pyodbc.sourceforge.net
mxODBC: A commercial Python extension that provides ODBC connectivity on Windows, Linux, Mac OS X, FreeBSD and many other Unix platforms.
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)
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.)