Size: 2355
Comment:
|
Size: 3715
Comment: converted to 1.6 markup
|
Deletions are marked like this. | Additions are marked like this. |
Line 1: | Line 1: |
= DBMS interfaces = Things you connect to. [[BR]] Take a look at http://www.python.org/topics/database/modules.html and http://dmoz.org/Computers/Programming/Languages/Python/Modules/Databases_and_Persistence/. |
<<TableOfContents>> The contents of this page are being merged into the ChoosingDatabase page. = Relational database = Databases based on a relational model, with support for SQL. |
Line 8: | Line 10: |
mysqldb module http://www.mysql.com/downloads/api-python.html | mysql-python: http://sourceforge.net/projects/mysql-python |
Line 11: | Line 13: |
pypgsql (http://pypgsql.sf.net/) | * 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. |
Line 14: | Line 42: |
* dcOracle * cxOracle |
* 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 [[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]] |
Line 18: | Line 59: |
module developed by Dave Cole http://www.object-craft.com.au/projects/sybase/ | |
Line 20: | Line 60: |
== MSSQL == | * sybase * old: http://www.object-craft.com.au/projects/sybase/ * new: http://python-sybase.sourceforge.net/ |
Line 22: | Line 64: |
== BerkeleyDb == | * mxODBC: http://www.egenix.com/products/python/mxODBC/ * Supports Sybase ASE and Sybase Anywhere. |
Line 24: | Line 67: |
== MaxDB/SAPDB == | |
Line 25: | Line 69: |
= Datafiles interfaces = Things you open. |
* sapdb: http://dev.mysql.com/doc/maxdb/interfaces.html |
Line 28: | Line 71: |
== xBase == Which stands for .dbf files interface.[[BR]] .bdf 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/ * 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 37: | Line 74: |
== 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. |
== Informix == |
Line 47: | Line 76: |
== MetaKit == http://www.equi4.com/metakit/python.html |
* 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]] |
Line 52: | Line 91: |
== 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 == |
Line 57: | Line 93: |
== ZODB == Zope Object DB |
[[http://buzhug.sourceforge.net/|buzhug]] is a pure-Python database engine, using a Pythonic, no-SQL syntax. |
Line 60: | Line 95: |
== 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. 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. |
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.
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
- 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
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.