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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 *important notes for psycopg *for commands that require running outside of a transaction use autocommit *ie conn.autocommit() *never commit on a cursor, always commit on a connection * 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] * PostgresPy (http://python.projects.postgresql.org/) * pgasync (http://jamwt.com/pgasync/) * Asynchronous and pure Python. Speed comparable to C bindings. Special support for Twisted. |
* [[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. |
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| == Oracle == | * ODBTPAPI: http://benjiyork.com/odbtp.html |
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| See ["Oracle"] for details, there are two choices: * dcOracle * cx_Oracle |
== ADO Support == |
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| == Sybase == module developed by Dave Cole http://www.object-craft.com.au/projects/sybase/ |
* adodbapi (http://adodbapi.sourceforge.net/): A Python module that makes it easy to use Microsoft ADO for connecting to databases and other data sources. |
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| == MSSQL == module developed by Dave Cole http://www.object-craft.com.au/projects/mssql/ |
= Database Interfaces for Relational Database Systems = |
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| == BerkeleyDb == | Database systems employing a relational model, with support for SQL. |
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| == ThinkSQL == * Pure Python DB-API 2.0 module http://www.thinksql.co.uk |
== General Purpose Database Systems == |
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| == Informix == * DB-API 2.0 module available here: http://informixdb.sourceforge.net/ |
* 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]] |
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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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| == KirbyBase == http://www.netpromi.com/kirbybase.html |
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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| == SnakeSQL == | |
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| = Datafiles interfaces = Things you open. |
[[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. |
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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/index.html - working now. or (take it [http://starship.python.net/crew/jjkunce/python/dbfpy.tgz here]) * http://www.sequiter.com/products/Python/ * http://cbbrowne.com/info/xbase.html * http://www.e-bachmann.dk/docs/xbase.htm - dead link |
----- |
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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. |
These entries still need to be merged into the resp. sub-pages: |
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| == MetaKit == http://www.equi4.com/metakit/python.html |
== MaxDB/SAPDB == |
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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.org/ |
* sdb: http://help.sap.com/saphelp_nw04s/helpdata/en/3c/5c02409d59ea69e10000000a155106/frameset.htm |
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| = XML Databases or Interfaces = | * 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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| == Forest == | == Informix == |
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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. |
* InformixDB: http://informixdb.sourceforge.net/ |
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| * mxODBC: http://www.egenix.com/products/python/mxODBC/ * Note: The Informix ODBC drivers are included in the Informix CSDK. |
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| == 4ODS == | == Ingres == |
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| http://www.4suite.org/ = Object-Relational Mappers = [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. [http://www.tux4web.de/orm ORM] The Object Relational Membrane is a Python package that provides the functionality of an object relational layer like EJB or other persistence storage systems. It is a thin compatibility layer between SQL table layouts and Object Oriented Python. While providing a good deal of functionality, it tries to be as small and simple as possible. It works with PostgreSQL and MySQL. [http://www.qlime.org/ QLime] Easy to use, transparent data access to relational databases or other data sources. See examples here: http://www.qlime.org/example.rst See also HigherLevelDatabaseProgramming. = 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
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
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:
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