Differences between revisions 89 and 97 (spanning 8 versions)

Contents

Generic Database Interfaces and APIs
1. ODBC Support
2. ADO Support
Database Interfaces for Relational Database Systems
Native Python Databases

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)
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:

(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

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 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

-  ⇤ ← Revision 89 as of 2008-09-11 18:50:04 → 
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+   ← Revision 97 as of 2008-12-08 12:34:14 → ⇥
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  Comment:
-Deletions are marked like this.
+Additions are marked like this.
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-[[TableOfContents]]
+<<TableOfContents>>
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-The contents of this page are being merged into the ChoosingDatabase page.
+Note: The contents of the ChoosingDatabase page are being merged back into this page.
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-= Relational database =
+= Generic Database Interfaces and APIs =
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-Databases based on a relational model, with support for SQL.
+ * 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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-== PostgreSQL ==
+ Most Python database interfaces adhere to this standard.
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- * psycopg
  * psycopg1: http://initd.org/projects/psycopg1
  * psycopg2: http://initd.org/projects/psycopg2
+ * 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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- * pyPgSQL: http://pypgsql.sourceforge.net/
+== ODBC Support ==
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- * PyGreSQL: http://www.pygresql.org/
+ * ceODBC: http://ceodbc.sourceforge.net
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- * PoPy: http://sourceforge.net/projects/popy
  * PoPy and PyGreSQL are [http://www.zope.org/Members/tm/Full_Announce merging]
+ * pyodbc: http://pyodbc.sourceforge.net
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+Line 21:
- * 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
+ * [[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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+Line 23:
- * 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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+Line 25:
- * bpgsql: http://barryp.org/software/bpgsql/
  * Barebones pure-Python PostgreSQL client
+ * ODBTPAPI: http://benjiyork.com/odbtp.html
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+Line 27:
- * ["sipPQ"]
+== ADO Support ==
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+Line 29:
- * 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.
+ * 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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-  * 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.
+  * 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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+Line 103:
- * More info on ["DB2"]
+ * More info on [[DB2]]
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+Line 105:
-== Sybase ==
+== Sybase ASE ==
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+Line 107:
- * sybase: http://www.object-craft.com.au/projects/sybase/
+ * sybase
  * old: http://www.object-craft.com.au/projects/sybase/
  * new: http://python-sybase.sourceforge.net/
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+Line 112:
-  * Supports Sybase ASE and Sybase Anywhere.
+  * 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.
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+Line 124:
- * sapdb: http://dev.mysql.com/doc/maxdb/interfaces.html
+ * sdb: http://help.sap.com/saphelp_nw04s/helpdata/en/3c/5c02409d59ea69e10000000a155106/frameset.htm
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+Line 139:
-= 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.

== MySQL ==
mysql-python: http://sourceforge.net/projects/mysql-python

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