|
Size: 3593
Comment:
|
Size: 2036
Comment: addition of xml databases
|
| 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. | This page lists database interfaces available for Python. It may also help in finding a suitable database engine for you to use in your Python database applications. |
| Line 5: | Line 5: |
| = Relational database = | = Generic Database Interfaces and APIs = |
| Line 7: | Line 7: |
| 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)]] |
| Line 9: | Line 9: |
| == PostgreSQL == | Most Python database interfaces adhere to this standard. |
| Line 11: | Line 11: |
| * 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 |
| Line 15: | Line 15: |
| * pyPgSQL: http://pypgsql.sourceforge.net/ | == ODBC Support == |
| Line 17: | Line 17: |
| * PyGreSQL: http://www.pygresql.org/ | * See [[ODBC]] |
| Line 19: | Line 19: |
| * PoPy: http://sourceforge.net/projects/popy * PoPy and PyGreSQL are [http://www.zope.org/Members/tm/Full_Announce merging] |
== ADO Support == |
| Line 22: | 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 |
* See [[ADO]] |
| Line 26: | Line 23: |
| * pgasync: http://jamwt.com/pgasync/ * Asynchronous and pure Python. Speed comparable to C bindings. Special support for Twisted. |
= Database Interfaces for Relational Database Systems = |
| Line 29: | Line 25: |
| * bpgsql: http://barryp.org/software/bpgsql/ * Barebones pure-Python PostgreSQL client |
Database systems employing a relational model, with support for SQL. |
| Line 32: | Line 27: |
| * ["sipPQ"] | == General Purpose Database Systems == |
| Line 34: | 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. |
* IBM [[DB2]] * [[Firebird]] (and Interbase) * [[Informix]] * [[Ingres]] * [[MySQL]] * [[Oracle]] * [[PostgreSQL]] * [[SAP DB]] (also known as "MaxDB") * Microsoft [[SQL Server]] * [[Sybase]] |
| Line 38: | Line 40: |
| == Oracle == | (To add new entries, please choose DatabaseTemplate when creating the page.) |
| Line 40: | Line 42: |
| * cx_Oracle: http://www.python.net/crew/atuining/cx_Oracle/ | == Database Systems for Embedding Into Applications == |
| Line 42: | Line 44: |
| * DCOracle: http://www.zope.org/Products/DCOracle/ * This is for old Oracle versions (7 and 8). |
The following database systems are more oriented towards embedded applications: |
| Line 45: | Line 46: |
| * DCOracle2: http://www.zope.org/Members/matt/dco2 * For Oracle 8i and up. |
* [[asql]] * GadFly * [[SQLite]] * [[ThinkSQL]] |
| Line 48: | Line 51: |
| * 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. |
(To add new entries, please choose DatabaseTemplate when creating the page.) |
| Line 51: | Line 53: |
| == IBM DB2 == | = Non-Relational Databases = |
| Line 53: | Line 55: |
| * More info on ["DB2"] | == Record-based Databases == |
| Line 55: | Line 57: |
| == Sybase == | Databases working on flat files or fixed records. |
| Line 57: | Line 59: |
| * sybase: http://www.object-craft.com.au/projects/sybase/ | * MetaKit * [[ZODB]] * [[BerkeleyDB]] * [[KirbyBase]] * [[Durus]] * [[atop]] * [[buzhug]] |
| Line 59: | Line 67: |
| * mxODBC: http://www.egenix.com/products/python/mxODBC/ * Supports Sybase ASE and Sybase Anywhere. |
(To add new entries, please choose DatabaseTemplate when creating the page.) |
| Line 62: | Line 69: |
| == MaxDB/SAPDB == | == XML Databases == |
| Line 64: | Line 71: |
| * sapdb: http://dev.mysql.com/doc/maxdb/interfaces.html | * 4Suite server * Oracle/Sleepycat DB XML ([[http://jimmyg.org/blog/2008/oracle-db-xml-was-sleepycat.html|howto]]) |
| Line 66: | Line 74: |
| * 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 |
(To add new entries, please choose DatabaseTemplate when creating the page.) |
| Line 82: | Line 78: |
| == 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 |
* [[buzhug]] * [[SnakeSQL]] |
Contents
This page lists database interfaces available for Python. It may also help in finding a suitable database engine for you to use in your Python database applications.
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
See ODBC
ADO Support
See ADO
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
Record-based Databases
Databases working on flat files or fixed records.
(To add new entries, please choose DatabaseTemplate when creating the page.)
XML Databases
- 4Suite server
Oracle/Sleepycat DB XML (howto)
(To add new entries, please choose DatabaseTemplate when creating the page.)