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| [[TableOfContents]] | |
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| = See also = * ChoosingDatabase * DbApiModuleComparison * HigherLevelDatabaseProgramming * http://www.python.org/topics/database/modules.html * [http://dmoz.org/Computers/Programming/Languages/Python/Modules/Databases_and_Persistence/ Category in the Open Directory Project] |
<<TableOfContents>> |
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| = Relational database = Databases based on relational model, with support for SQL. |
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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| == MySQL == * MySQLdb: http://dev.mysql.com/downloads/python.html |
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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] * PostgresPy: http://python.projects.postgresql.org/ * 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"] |
= Generic Database Interfaces and APIs = |
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| == SQLite == * pysqlite: http://pysqlite.org/ * Have versions for both SQLite 2 and 3. * APSW: http://www.rogerbinns.com/apsw.html * SQLite 3 only. * Not DBAPI compliant. Focus on wrapping all SQLite APIs. |
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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. |
* 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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| == Firebird/Interbase == * KInterbasDB: http://kinterbasdb.sourceforge.net/ |
* 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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| == Sybase == * by Dave Cole: http://www.object-craft.com.au/projects/sybase/ |
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| == MSSQL == * by Dave Cole: http://www.object-craft.com.au/projects/mssql/ * pymssql: http://pymssql.sourceforge.net/ |
== ODBC Support == |
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| == DB2 == * PyDB2: http://sourceforge.net/projects/pydb2 |
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| == MaxDB/SAP DB == * http://dev.mysql.com/doc/maxdb/interfaces.html |
* See [[ODBC|ODBC]] |
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| == ThinkSQL == * Pure Python DB-API 2.0 module: http://www.thinksql.com/ |
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| == Informix == * InformixDB: http://informixdb.sourceforge.net/ |
== ADO Support == |
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| == Ingres == * http://ingres.com/products/Prod_Download_Drivers.html |
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| == ODBC == * pyodbc: http://pyodbc.sourceforge.net/ * mxODBC: http://www.egenix.com/files/python/mxODBC.html |
* See [[ADO|ADO]] |
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| == ADO == * adodbapi: http://adodbapi.sourceforge.net/ |
= Database Interfaces for Relational Database Systems = Database systems employing a relational model, with support for SQL. == General Purpose Database Systems == * 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]] * [[Sybase|Sybase]] (To add new entries, please choose [[DatabaseTemplate|DatabaseTemplate]] when creating the page.) == Database Systems for Embedding Into Applications == The following database systems are more oriented towards embedded applications: * [[asql|asql]] * [[GadFly|GadFly]] * [[SQLite|SQLite]] * [[ThinkSQL|ThinkSQL]] (To add new entries, please choose [[DatabaseTemplate|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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| == Gadfly == Gadfly is a simple relational database system implemented in Python based on the SQL Structured Query Language. |
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| http://gadfly.sourceforge.net/ == 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/ == ZODB == Zope Object Database. * http://www.zope.org/Wikis/ZODB/FrontPage * DirectoryStorage: http://dirstorage.sourceforge.net/ * PGStorage: http://hathawaymix.org/Software/PGStorage == Durus == Durus is a persistent object system for applications written in the Python programming language. Durus offers an easy way to use and maintain a consistent collection of object instances used by one or more processes. Access and change of a persistent instances is managed through a cached Connection instance which includes commit() and abort() methods so that changes are transactional. http://www.mems-exchange.org/software/durus/ == Pypersyst == Pypersyst provides fast, reliable, and flexible object persistence with a small footprint, suitable for embedding in other Python applications. http://pypersyst.org/ == 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. == KirbyBase == http://www.netpromi.com/kirbybase.html = 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/index.html - working now. or (take it [http://starship.python.net/crew/jjkunce/python/dbfpy.tgz here]) * http://www.sequiter.com/products/Python/ * http://cbbrowne.com/info/xbase.html * http://www.e-bachmann.dk/docs/xbase.htm - dead link == 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 = XML Databases or Interfaces = == Forest == Forest is a (native) XML database written in Python. It is intended to support fast queries of XML data. https://infrae.com/viewvc/old/forest/ == 4ODS == http://www.4suite.org/ == xsdbXML == http://xsdb.sourceforge.net/ = Object-Relational Mappers = [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. [http://orm.nongnu.org/ ORM] ([http://freshmeat.net/projects/orm/ Freshmeat entry]) The Object Relational Membrane is a Python package that provides the functionality of an object relational layer like EJB or other persistence storage systems. It is a thin compatibility layer between SQL table layouts and Object Oriented Python. While providing a good deal of functionality, it tries to be as small and simple as possible. It works with PostgreSQL and MySQL. QLime ([http://freshmeat.net/projects/qlime/ Freshmeat entry]) Easy to use, transparent data access to relational databases or other data sources. See examples here: http://www.qlime.org/example.rst '''Note: qlime.org does not currently provide the QLime site''' = 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|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
(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.)