2355
Comment:
|
2337
|
Deletions are marked like this. | Additions are marked like this. |
Line 1: | Line 1: |
= DBMS interfaces = Things you connect to. [[BR]] Take a look at http://www.python.org/topics/database/modules.html and http://dmoz.org/Computers/Programming/Languages/Python/Modules/Databases_and_Persistence/. |
<<TableOfContents>> |
Line 7: | Line 3: |
== MySQL == mysqldb module http://www.mysql.com/downloads/api-python.html |
Note: The contents of the ChoosingDatabase page are being merged back into this page. |
Line 10: | Line 5: |
== PostgreSQL == pypgsql (http://pypgsql.sf.net/) |
= Generic Database Interfaces and APIs = |
Line 13: | Line 7: |
== Oracle == * dcOracle * cxOracle |
* The Python standard for database interfaces is the [[http://www.python.org/dev/peps/pep-0249/|Python DB-API (PEP 249)]] |
Line 17: | Line 9: |
== Sybase == module developed by Dave Cole http://www.object-craft.com.au/projects/sybase/ |
Most Python database interfaces adhere to this standard. |
Line 20: | Line 11: |
== MSSQL == | * 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 |
Line 22: | Line 15: |
== BerkeleyDb == | == ODBC Support == |
Line 24: | Line 17: |
* ceODBC: http://ceodbc.sourceforge.net | |
Line 25: | Line 19: |
= Datafiles interfaces = Things you open. |
* pyodbc: http://pyodbc.sourceforge.net |
Line 28: | Line 21: |
== 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/) - 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 |
* [[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. |
Line 37: | Line 23: |
== 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. |
* [[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. |
Line 47: | Line 25: |
== MetaKit == http://www.equi4.com/metakit/python.html |
* 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) * [[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.) |
Line 52: | Line 74: |
== 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 == 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. |
* [[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.)