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| = DBMS interfaces = Things you connect to. == MySQL == == PostgreSQL == == Oracle == == Sybase == == MSSQL == == BerkeleyDb == |
<<TableOfContents>> |
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| 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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| = Datafiles interfaces = Things you open. |
= Generic Database Interfaces and APIs = |
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| == xBase == Which stands for .dbf files interface.[[BR]] .bdf files were produced by several old systems like dBase(II,III,IV), Fox(Base,Pro) * xBase (http://linux.techass.com/projects/xdb/) * 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 |
* 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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| == 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. |
Most Python database interfaces adhere to this standard. |
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| == gadfly == | * 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) * [[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: * [[asql]] * 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.) = Native Python Databases = * [[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.)