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| The contents of this page are being merged into the ChoosingDatabase page. |
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| == MySQL == mysql-python: http://sourceforge.net/projects/mysql-python |
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| * PostgresPy: http://python.projects.postgresql.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 |
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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. |
* 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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Supports the ''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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| * PyDB2: http://sourceforge.net/projects/pydb2 | |
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| DB2's native CLI is ODBC compatible and mxODBC can link directly against these libraries. It also supports the DB2 ODBC driver on Windows. |
* More info on ["DB2"] |
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Supports Sybase ASE and Sybase Anywhere. |
* Supports Sybase ASE and Sybase Anywhere. |
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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. |
* 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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Note: The Informix ODBC drivers are included in the Informix CSDK. |
* Note: The Informix ODBC drivers are included in the Informix CSDK. |
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== Microsoft SQL Server == * See ["SQL_Server"] |
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| == 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. |
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| 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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| http://www.pythonweb.org/projects/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. |
The contents of this page are being merged into the ChoosingDatabase page.
Relational database
Databases based on a relational model, with support for SQL.
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/
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.
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"]
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
[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.