|
Size: 3935
Comment:
|
Size: 2463
Comment:
|
| Deletions are marked like this. | Additions are marked like this. |
| 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 = | |
| Line 7: | Line 6: |
| Databases based on a relational model, with support for SQL. | = Generic Database Interfaces and APIs = |
| Line 9: | Line 8: |
| == ODBC == | |
| Line 11: | Line 9: |
| ODBC allows you to use a single library and API to connect to many different databases, including most of those below. | * The Python standard for database interfaces is the [[http://www.python.org/dev/peps/pep-0249/|Python DB-API (PEP 249)]] Most Python database interfaces adhere to this standard. |
| Line 13: | Line 11: |
| * pyodbc: http://code.google.com/p/pyodbc Open source, mature DB API library | * 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|DbApiModuleComparison]] |
| Line 15: | Line 15: |
| == MySQL == * mysql-python: http://sourceforge.net/projects/mysql-python |
|
| Line 18: | Line 16: |
| == PostgreSQL == | == ODBC Support == |
| Line 20: | Line 18: |
| * psycopg * psycopg1: http://initd.org/projects/psycopg1 * psycopg2: http://initd.org/projects/psycopg2 |
|
| Line 24: | Line 19: |
| * pyPgSQL: http://pypgsql.sourceforge.net/ | * See [[ODBC|ODBC]] |
| Line 26: | Line 21: |
| * PyGreSQL: http://www.pygresql.org/ | |
| Line 28: | Line 22: |
| * PoPy: http://sourceforge.net/projects/popy * PoPy and PyGreSQL are [[http://www.zope.org/Members/tm/Full_Announce|merging]] |
== ADO Support == |
| Line 31: | Line 24: |
| * 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 35: | Line 25: |
| * pgasync: http://jamwt.com/pgasync/ * Asynchronous and pure Python. Speed comparable to C bindings. Special support for Twisted. |
* See [[ADO|ADO]] |
| Line 38: | Line 27: |
| * bpgsql: http://barryp.org/software/bpgsql/ * Barebones pure-Python PostgreSQL client |
|
| Line 41: | Line 28: |
| * [[sipPQ]] | = Database Interfaces for Relational Database Systems = |
| Line 43: | Line 30: |
| * 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 47: | Line 31: |
| == Oracle == | Database systems employing a relational model, with support for SQL. |
| Line 49: | Line 33: |
| * cx_Oracle: http://www.python.net/crew/atuining/cx_Oracle/ | |
| Line 51: | Line 34: |
| * DCOracle: http://www.zope.org/Products/DCOracle/ * This is for old Oracle versions (7 and 8). |
== General Purpose Database Systems == |
| Line 54: | Line 36: |
| * DCOracle2: http://www.zope.org/Members/matt/dco2 * For Oracle 8i and up. |
|
| Line 57: | Line 37: |
| * 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|DB2]] * [[Firebird|Firebird]] (and Interbase) * [[Informix|Informix]] * [[Ingres|Ingres]] * [[MySQL|MySQL]] * [[Oracle|Oracle]] * [[PostgreSQL|PostgreSQL]] * [[SAP DB|SAP DB]] (also known as "MaxDB") * Microsoft [[SQL Server|SQL Server]] * Microsoft [[Access|Microsoft_Access]] * [[Sybase|Sybase]] |
| Line 60: | Line 49: |
| == IBM DB2 == | |
| Line 62: | Line 50: |
| * More info on [[DB2]] | (To add new entries, please choose [[DatabaseTemplate|DatabaseTemplate]] when creating the page.) |
| Line 64: | Line 52: |
| == Sybase == | |
| Line 66: | Line 53: |
| * sybase * old: http://www.object-craft.com.au/projects/sybase/ * new: http://python-sybase.sourceforge.net/ |
== Database Systems for Embedding Into Applications == |
| Line 70: | Line 55: |
| * mxODBC: http://www.egenix.com/products/python/mxODBC/ * Supports Sybase ASE and Sybase Anywhere. |
|
| Line 73: | Line 56: |
| == MaxDB/SAPDB == | The following database systems are more oriented towards embedded applications: |
| Line 75: | Line 58: |
| * sapdb: http://dev.mysql.com/doc/maxdb/interfaces.html | |
| Line 77: | Line 59: |
| * 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. |
* [[asql|asql]] * [[GadFly|GadFly]] * [[SQLite|SQLite]] * [[ThinkSQL|ThinkSQL]] |
| Line 80: | Line 64: |
| == Informix == | |
| Line 82: | Line 65: |
| * InformixDB: http://informixdb.sourceforge.net/ | (To add new entries, please choose [[DatabaseTemplate|DatabaseTemplate]] when creating the page.) |
| Line 84: | Line 67: |
| * mxODBC: http://www.egenix.com/products/python/mxODBC/ * Note: The Informix ODBC drivers are included in the Informix CSDK. |
|
| Line 87: | Line 68: |
| == Ingres == | = Non-Relational Databases = |
| Line 89: | Line 70: |
| * ingresdbi: http://www.ingres.com | |
| Line 91: | Line 71: |
| == Microsoft SQL Server == | == Record-based Databases == |
| Line 93: | Line 73: |
| * See [[SQL Server]] | Databases working on flat files or fixed records. * [[MetaKit|MetaKit]] * [[ZODB|ZODB]] * [[BerkeleyDB|BerkeleyDB]] * [[KirbyBase|KirbyBase]] * [[Durus|Durus]] * [[atop|atop]] * [[buzhug|buzhug]] (To add new entries, please choose [[DatabaseTemplate|DatabaseTemplate]] when creating the page.) == XML Databases == * 4Suite server * Oracle/Sleepycat DB XML ([[http://jimmyg.org/blog/2008/oracle-db-xml-was-sleepycat.html|howto]]) == Graph Databases == * [[Neo4j|Neo4j]] (To add new entries, please choose [[DatabaseTemplate|DatabaseTemplate]] when creating the page.) |
| Line 97: | Line 107: |
| == buzhug == | |
| Line 99: | Line 108: |
| [[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. |
* [[buzhug|buzhug]] * [[SnakeSQL|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
Microsoft Microsoft_Access
(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)
Graph Databases
(To add new entries, please choose DatabaseTemplate when creating the page.)