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| = 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/. |
The contents of this page are being merged into the ChoosingDatabase page. |
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| == MySQL == * mysqldb module http://www.mysql.com/downloads/api-python.html * SnakeDb (http://www.scriptfoundry.com/modules/snakedb/) |
= Relational database = Databases based on a relational model, with support for SQL. |
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| pypgsql (http://pypgsql.sf.net/) | * 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] * pg/python: http://python.projects.postgresql.org/ * pg_proboscis: DB-API 2.0 and GreenTrunk Interfaces http://pypi.python.org/pypi?:action=display&name=pg_proboscis * pg_pqueue: PQ 3.0 Protocol elements http://pypi.python.org/pypi?:action=display&name=pg_pqueue * 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"] * mxODBC: http://www.egenix.com/products/python/mxODBC/ * Supports the [http://www.postgresql.org/ftp/odbc/versions/ PostgreSQL ODBC driver] on both Windows and Unix. Note that you have to enable the advanced option "Use bytea for lo" in case you want to work with BLOBs. |
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| * dcOracle * cxOracle |
* 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"] |
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| module developed by Dave Cole http://www.object-craft.com.au/projects/sybase/ | |
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| == MSSQL == | * sybase: http://www.object-craft.com.au/projects/sybase/ |
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| == BerkeleyDb == | * mxODBC: http://www.egenix.com/products/python/mxODBC/ * Supports Sybase ASE and Sybase Anywhere. |
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| == MaxDB/SAPDB == * sapdb: http://dev.mysql.com/doc/maxdb/interfaces.html * 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 |
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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/ |
== buzhug == |
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| == ZODB == Zope Object DB |
[http://buzhug.sourceforge.net/ buzhug] is a pure-Python database engine, using a Pythonic, no-SQL syntax. |
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| == 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. |
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. |
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| 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. | |
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| = Datafiles interfaces = Things you open. |
== SnakeSQL == |
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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/) - 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 = Special file interface = * http://python-dsv.sourceforge.net/ CSV or any separated file (see also PEP:305) * ConfigParser.py - Windows .ini format * gzip.py * zipfile.py * tar * pdf http://www.pythonware.com/ |
[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. |
The contents of this page are being merged into the ChoosingDatabase page.
Relational database
Databases based on a relational model, with support for SQL.
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]
pg/python: http://python.projects.postgresql.org/
pg_proboscis: DB-API 2.0 and GreenTrunk Interfaces http://pypi.python.org/pypi?:action=display&name=pg_proboscis
pg_pqueue: PQ 3.0 Protocol elements http://pypi.python.org/pypi?:action=display&name=pg_pqueue
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"]
mxODBC: http://www.egenix.com/products/python/mxODBC/
Supports the [http://www.postgresql.org/ftp/odbc/versions/ PostgreSQL ODBC driver] on both Windows and Unix.
Note that you have to enable the advanced option "Use bytea for lo" in case you want to work with BLOBs.
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
mxODBC: http://www.egenix.com/products/python/mxODBC/
- Supports Sybase ASE and Sybase Anywhere.
MaxDB/SAPDB
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
Native Python Databases
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.