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Comment: PySQLite
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Comment: Separated Sybase ASE and Sybase SQL Anywhere and linked to SQL Anywhere native module
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[[TableOfContents]] <<TableOfContents>>
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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.

= 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
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== Sybase ==
module developed by Dave Cole http://www.object-craft.com.au/projects/sybase/		  * cx_Oracle: http://www.python.net/crew/atuining/cx_Oracle/
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== MSSQL ==  * DCOracle: http://www.zope.org/Products/DCOracle/
  * This is for old Oracle versions (7 and 8).
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== BerkeleyDb ==  * DCOracle2: http://www.zope.org/Members/matt/dco2
  * For Oracle 8i and up.
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 * 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 ASE ==

 * sybase
  * old: http://www.object-craft.com.au/projects/sybase/
  * new: http://python-sybase.sourceforge.net/

 * mxODBC: http://www.egenix.com/products/python/mxODBC/
  * Supports Sybase ASE.

== Sybase SQL Anywhere ==

 * sqlanydb: http://dcx.sybase.com/1100en/dbprogramming_en11/pg-python.html
  * Implements with extensions Database API 2.0

 * mxODBC: http://www.egenix.com/products/python/mxODBC/
  * Supports SQL Anywhere.

== MaxDB/SAPDB ==

 * sdb: http://help.sap.com/saphelp_nw04s/helpdata/en/3c/5c02409d59ea69e10000000a155106/frameset.htm

 * 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 ==
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

  1. Relational database
    1. ODBC
    2. MySQL
    3. PostgreSQL
    4. Oracle
    5. IBM DB2
    6. Sybase ASE
    7. Sybase SQL Anywhere
    8. MaxDB/SAPDB
    9. Informix
    10. Ingres
    11. Microsoft SQL Server
  2. Native Python Databases
    1. buzhug
    2. SnakeSQL

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.

MySQL

PostgreSQL

Note that you have to enable the advanced option "Use bytea for lo" in case you want to work with BLOBs.

Oracle

IBM DB2

  • More info on DB2

Sybase ASE

Sybase SQL Anywhere

MaxDB/SAPDB

Informix

Ingres

Microsoft 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.

DatabaseInterfaces (last edited 2020-12-09 09:29:13 by MarcAndreLemburg)

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