Differences between revisions 18 and 97 (spanning 79 versions)
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Editor: MarcAndreLemburg
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Deletions are marked like this. Additions are marked like this.
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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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  ''I don't think so. Now they surely have to be refactored both, but ChoosingDatabase seems to be a good page for one place for categorized comparision to narrow novice's choice while that is merely a catalog. -- MikeRovner [[DateTime(2003-02-11T16:50:45)]]'' Note: The contents of the ChoosingDatabase page are being merged back into this page.
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  ''I seems missed DbApiModuleComparison page. Probably I better combine them with links from both places. -- MikeRovner [[DateTime()]]'' = Generic Database Interfaces and APIs =
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 * 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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 Most Python database interfaces adhere to this standard.
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[[TableOfContents]]  * 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
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See also HigherLevelDatabaseProgramming == ODBC Support ==
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= DBMS interfaces =
Things you connect to.		  * ceODBC: http://ceodbc.sourceforge.net
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Take a look at
http://www.python.org/topics/database/modules.html and
http://dmoz.org/Computers/Programming/Languages/Python/Modules/Databases_and_Persistence/.		  * pyodbc: http://pyodbc.sourceforge.net
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== MySQL ==
 * mysqldb module http://www.mysql.com/downloads/api-python.html
 * SnakeDb (http://www.scriptfoundry.com/modules/snakedb/)		  * [[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.
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== PostgreSQL ==
 * psycopg (http://www.zope.org/Members/fog/psycopg) (!) preferable
 * pypgsql (http://pypgsql.sf.net/)
 * ["sipPQ"]
 * PyGreSQL (http://www.pygresql.org) and PoPy (http://sourceforge.net/projects/popy) are [http://archives.postgresql.org/pgsql-announce/2003-07/msg00002.php merging]		  * [[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.

 * 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]]

= 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.

-----

These entries still need to be merged into the resp. sub-pages:
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See ["Oracle"] for details, there are two choices:
 * dcOracle
 * cx_Oracle		  * cx_Oracle: http://www.python.net/crew/atuining/cx_Oracle/
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== Sybase ==
module developed by Dave Cole http://www.object-craft.com.au/projects/sybase/		  * DCOracle: http://www.zope.org/Products/DCOracle/
  * This is for old Oracle versions (7 and 8).
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== MSSQL ==  * DCOracle2: http://www.zope.org/Members/matt/dco2
  * For Oracle 8i and up.
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== BerkeleyDb ==  * 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.
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== ThinkSQL ==
 * Pure Python DB-API 2.0 module http://www.thinksql.co.uk		 == IBM DB2 ==
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= Native Python Databases =  * More info on [[DB2]]
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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/		 == Sybase ASE ==
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== ZODB ==
http://www.zope.org/Wikis/ZODB Zope Object DB		  * sybase
  * old: http://www.object-craft.com.au/projects/sybase/
  * new: http://python-sybase.sourceforge.net/
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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.		  * mxODBC: http://www.egenix.com/products/python/mxODBC/
  * Supports Sybase ASE.
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== Sybase SQL Anywhere ==
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= Datafiles interfaces =
Things you open.		  * sqlanydb: http://dcx.sybase.com/1100en/dbprogramming_en11/pg-python.html
  * Implements with extensions Database API 2.0
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== xBase ==
Which stands for .dbf files interface.[[BR]]
.dbf 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		  * mxODBC: http://www.egenix.com/products/python/mxODBC/
  * Supports SQL Anywhere.
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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.		 == MaxDB/SAPDB ==
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== MetaKit ==
http://www.equi4.com/metakit/python.html		  * sdb: http://help.sap.com/saphelp_nw04s/helpdata/en/3c/5c02409d59ea69e10000000a155106/frameset.htm
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== 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		  * 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.
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= XML Databases or Interfaces = == Informix ==
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== Forest ==  * InformixDB: http://informixdb.sourceforge.net/
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[http://cvs.infrae.com/forest/ Forest] is a (native) XML database written in Python. It is intended to
support fast queries of XML data.		  * mxODBC: http://www.egenix.com/products/python/mxODBC/
  * Note: The Informix ODBC drivers are included in the Informix CSDK.
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== Ingres ==
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== 4ODS ==

http://www.4suite.org/


= Object-Relational Mappers =

== SQLObject ==

[http://sqlobject.org SQLObject] is an object-relational mapper. It allows you to translate
RDBMS table rows into Python objects, and manipulate those objects to
transparently manipulate the database.


= Special file interface =

 * http://python-dsv.sourceforge.net/ CSV or any separated file (see also PEP:0305)
 * ConfigParser.py - Windows .ini format
 * gzip.py
 * zipfile.py
 * tar
 * pdf http://www.pythonware.com/
 * PyTables		  * ingresdbi: http://www.ingres.com

Contents

  1. Generic Database Interfaces and APIs
    1. ODBC Support
    2. ADO Support
  2. Database Interfaces for Relational Database Systems
    1. General Purpose Database Systems
    2. Database Systems for Embedding Into Applications
    3. Non-Relational Databases
  3. Native Python Databases
    1. buzhug
    2. SnakeSQL
    3. Oracle
    4. IBM DB2
    5. Sybase ASE
    6. Sybase SQL Anywhere
    7. MaxDB/SAPDB
    8. Informix
    9. Ingres

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

ADO Support

Database Interfaces for Relational Database Systems

Database systems employing a relational model, with support for SQL.

General Purpose Database Systems

(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

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.

These entries still need to be merged into the resp. sub-pages:

Oracle

IBM DB2

  • More info on DB2

Sybase ASE

Sybase SQL Anywhere

MaxDB/SAPDB

Informix

Ingres

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

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