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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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[[TableOfContents]] | The contents of this page are being merged into the ChoosingDatabase page. |
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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/. |
= Relational database = Databases based on a relational model, with support for SQL. == ODBC == ODBC allows you to use a single library and API to connect to many different databases, including most of those below. * pyodbc: http://code.google.com/p/pyodbc Open source, mature DB API library |
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* mysqldb module http://www.mysql.com/downloads/api-python.html * SnakeDb (http://www.scriptfoundry.com/modules/snakedb/) |
* mysql-python: http://sourceforge.net/projects/mysql-python |
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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://python.projects.postgresql.org/project/pg_proboscis.html * pg_pqueue: PQ 3.0 Protocol elements http://python.projects.postgresql.org/project/pg_pqueue.html * 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 * old: http://www.object-craft.com.au/projects/sybase/ * new: http://python-sybase.sourceforge.net/ |
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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 == Microsoft SQL Server == * See [[SQL Server]] |
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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 == http://www.zope.org/Wikis/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. |
Contents
The contents of this page are being merged into the ChoosingDatabase page.
Relational database
Databases based on a relational model, with support for SQL.
ODBC
ODBC allows you to use a single library and API to connect to many different databases, including most of those below.
pyodbc: http://code.google.com/p/pyodbc Open source, mature DB API library
MySQL
mysql-python: http://sourceforge.net/projects/mysql-python
PostgreSQL
- psycopg
psycopg1: http://initd.org/projects/psycopg1
psycopg2: http://initd.org/projects/psycopg2
pyPgSQL: http://pypgsql.sourceforge.net/
PyGreSQL: http://www.pygresql.org/
pg/python: http://python.projects.postgresql.org/
pg_proboscis: DB-API 2.0 and GreenTrunk Interfaces http://python.projects.postgresql.org/project/pg_proboscis.html
pg_pqueue: PQ 3.0 Protocol elements http://python.projects.postgresql.org/project/pg_pqueue.html
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
mxODBC: http://www.egenix.com/products/python/mxODBC/
Supports the 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 Oracle Instant Client which is available for Windows and many popular Unix platforms.
IBM DB2
More info on DB2
Sybase
- 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
Microsoft SQL Server
See SQL Server
Native Python Databases
buzhug
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
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.