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| 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. |
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| = Relational database = | |
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| Databases based on a relational model, with support for SQL. | = Generic Database Interfaces and APIs = |
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| == ODBC == | |
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| 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. |
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| * 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]] |
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| == MySQL == * mysql-python: http://sourceforge.net/projects/mysql-python |
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| == PostgreSQL == | == ODBC Support == |
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| * psycopg * psycopg1: http://initd.org/projects/psycopg1 * psycopg2: http://initd.org/projects/psycopg2 |
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| * pyPgSQL: http://pypgsql.sourceforge.net/ | * See [[ODBC|ODBC]] |
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| * PyGreSQL: http://www.pygresql.org/ | |
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| * PoPy: http://sourceforge.net/projects/popy * PoPy and PyGreSQL are [[http://www.zope.org/Members/tm/Full_Announce|merging]] |
== ADO Support == |
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| * 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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| * pgasync: http://jamwt.com/pgasync/ * Asynchronous and pure Python. Speed comparable to C bindings. Special support for Twisted. |
* See [[ADO|ADO]] |
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| * bpgsql: http://barryp.org/software/bpgsql/ * Barebones pure-Python PostgreSQL client |
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| * [[sipPQ]] | = Database Interfaces for Relational Database Systems = |
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| * 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. |
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| == Oracle == | Database systems employing a relational model, with support for SQL. |
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| * cx_Oracle: http://www.python.net/crew/atuining/cx_Oracle/ | |
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| * DCOracle: http://www.zope.org/Products/DCOracle/ * This is for old Oracle versions (7 and 8). |
== General Purpose Database Systems == |
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| * DCOracle2: http://www.zope.org/Members/matt/dco2 * For Oracle 8i and up. |
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| * 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 [[Microsoft_Access|Access]] * [[Sybase|Sybase]] |
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| == IBM DB2 == | |
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| * More info on [[DB2]] | (To add new entries, please choose [[DatabaseTemplate|DatabaseTemplate]] when creating the page.) |
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| == Sybase == | |
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| * sybase * old: http://www.object-craft.com.au/projects/sybase/ * new: http://python-sybase.sourceforge.net/ |
== Database Systems for Embedding Into Applications == |
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| * mxODBC: http://www.egenix.com/products/python/mxODBC/ * Supports Sybase ASE and Sybase Anywhere. |
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| == MaxDB/SAPDB == | The following database systems are more oriented towards embedded applications: |
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| * sapdb: http://dev.mysql.com/doc/maxdb/interfaces.html | |
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| * 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]] |
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| == Informix == | |
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| * InformixDB: http://informixdb.sourceforge.net/ | (To add new entries, please choose [[DatabaseTemplate|DatabaseTemplate]] when creating the page.) |
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| * mxODBC: http://www.egenix.com/products/python/mxODBC/ * Note: The Informix ODBC drivers are included in the Informix CSDK. |
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| == Ingres == | = Non-Relational Databases = |
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| * ingresdbi: http://www.ingres.com | |
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| == Microsoft SQL Server == | == Record-based Databases == |
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| * 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.) |
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| == buzhug == | |
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| [[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 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.)