2768
Comment:
|
4208
Separated Sybase ASE and Sybase SQL Anywhere and linked to SQL Anywhere native module
|
Deletions are marked like this. | Additions are marked like this. |
Line 1: | Line 1: |
[[TableOfContents]] | <<TableOfContents>> |
Line 3: | Line 3: |
The contents of this page are being merged into the ChoosingDatabase page. |
The contents of this page are being merged into the ChoosingDatabase page. |
Line 8: | Line 6: |
Line 10: | Line 9: |
== 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 == MySQL == * mysql-python: http://sourceforge.net/projects/mysql-python |
|
Line 11: | Line 19: |
Line 14: | Line 23: |
Line 15: | Line 25: |
Line 16: | Line 27: |
Line 17: | Line 29: |
* PoPy and PyGreSQL are [http://www.zope.org/Members/tm/Full_Announce merging] * PostgresPy: http://python.projects.postgresql.org/ |
* 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 |
Line 21: | Line 37: |
Line 23: | Line 40: |
* ["sipPQ"] | * [[sipPQ]] |
Line 25: | Line 44: |
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. |
Line 29: | Line 48: |
Line 30: | Line 50: |
Line 32: | Line 53: |
Line 34: | Line 56: |
Line 35: | Line 58: |
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. |
Line 39: | Line 61: |
* PyDB2: http://sourceforge.net/projects/pydb2 | |
Line 41: | Line 62: |
DB2's native CLI is ODBC compatible and mxODBC can link directly against these libraries. It also supports the DB2 ODBC driver on Windows. nterbasDB: http://kinterbasdb.sourceforge.net/ |
* More info on [[DB2]] |
Line 44: | Line 64: |
== Sybase == * sybase: http://www.object-craft.com.au/projects/sybase/ |
== Sybase ASE == * sybase * old: http://www.object-craft.com.au/projects/sybase/ * new: http://python-sybase.sourceforge.net/ |
Line 47: | Line 71: |
* Supports Sybase ASE. | |
Line 48: | Line 73: |
Supports Sybase ASE and Sybase Anywhere. | == 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. |
Line 51: | Line 82: |
* sapdb: http://dev.mysql.com/doc/maxdb/interfaces.html | * sdb: http://help.sap.com/saphelp_nw04s/helpdata/en/3c/5c02409d59ea69e10000000a155106/frameset.htm |
Line 53: | Line 86: |
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. |
Line 57: | Line 89: |
Line 58: | Line 91: |
Line 59: | Line 93: |
Note: The Informix ODBC drivers are included in the Informix CSDK. |
* Note: The Informix ODBC drivers are included in the Informix CSDK. |
Line 63: | Line 96: |
Line 64: | Line 98: |
== Microsoft SQL Server == * See [[SQL Server]] |
|
Line 67: | Line 105: |
== 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. |
|
Line 68: | Line 114: |
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. | |
Line 70: | Line 115: |
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. |
Contents
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
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/
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
mxODBC: http://www.egenix.com/products/python/mxODBC/
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.
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
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
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.