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| [[TableOfContents]] | <<TableOfContents>> |
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| The contents of this page are being merged into the ChoosingDatabase page. | Note: The contents of the ChoosingDatabase page are being merged back into this page. |
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| = Relational database = | = Generic Database Interfaces and APIs = |
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| 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)]] |
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| == PostgreSQL == | Most Python database interfaces adhere to this standard. |
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| * 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 |
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| * pyPgSQL: http://pypgsql.sourceforge.net/ | == ODBC Support == |
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| * PyGreSQL: http://www.pygresql.org/ | * ceODBC: http://ceodbc.sourceforge.net |
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| * PoPy: http://sourceforge.net/projects/popy * PoPy and PyGreSQL are [http://www.zope.org/Members/tm/Full_Announce merging] |
* pyodbc: http://pyodbc.sourceforge.net |
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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 |
* [[http://www.egenix.com/products/python/mxODBC|mxODBC]]: A commercial Python extension that provides ODBC connectivity on Windows, Linux, Mac OS X, FreeBSD and many other Unix platforms. |
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| * pgasync: http://jamwt.com/pgasync/ * Asynchronous and pure Python. Speed comparable to C bindings. Special support for Twisted. |
* [[http://www.egenix.com/products/python/mxODBCConnect|mxODBC Connect]]: A commercial client-server product that allows connecting Python to ODBC compatible databases running on remote servers without requiring an ODBC driver on the client side. |
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| * bpgsql: http://barryp.org/software/bpgsql/ * Barebones pure-Python PostgreSQL client |
* ODBTPAPI: http://benjiyork.com/odbtp.html |
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| * ["sipPQ"] | == ADO Support == |
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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. |
* adodbapi (http://adodbapi.sourceforge.net/): A Python module that makes it easy to use Microsoft ADO for connecting to databases and other data sources. |
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| == Oracle == | = Database Interfaces for Relational Database Systems = |
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| * cx_Oracle: http://www.python.net/crew/atuining/cx_Oracle/ | Database systems employing a relational model, with support for SQL. |
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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. |
* IBM [[DB2]] * [[Firebird]] (and Interbase) * [[Informix]] * [[Ingres]] * [[MySQL]] * [[Oracle]] * [[PostgreSQL]] * [[SAP DB]] (also known as "MaxDB") * Microsoft [[SQL Server]] * [[Sybase]] |
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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. |
(To add new entries, please choose DatabaseTemplate when creating the page.) |
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| == IBM DB2 == | == Database Systems for Embedding Into Applications == |
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| * More info on ["DB2"] | The following database systems are more oriented towards embedded applications: |
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| == Sybase == | * GadFly * [[SQLite]] * [[ThinkSQL]] |
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| * sybase: http://www.object-craft.com.au/projects/sybase/ | (To add new entries, please choose DatabaseTemplate when creating the page.) |
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| * mxODBC: http://www.egenix.com/products/python/mxODBC/ * Supports Sybase ASE and Sybase Anywhere. |
== Non-Relational Databases == * MetaKit * [[ZODB]] * [[BerkeleyDB]] * [[KirbyBase]] * [[Durus]] * [[atop]] * [[buzhug]] = Native Python Databases = == 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. ----- These entries still need to be merged into the resp. sub-pages: |
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| * sapdb: http://dev.mysql.com/doc/maxdb/interfaces.html | * sdb: http://help.sap.com/saphelp_nw04s/helpdata/en/3c/5c02409d59ea69e10000000a155106/frameset.htm |
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= Native Python Databases = == 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. |
Contents
Note: The contents of the ChoosingDatabase page are being merged back into this page.
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
ceODBC: http://ceodbc.sourceforge.net
pyodbc: http://pyodbc.sourceforge.net
mxODBC: A commercial Python extension that provides ODBC connectivity on Windows, Linux, Mac OS X, FreeBSD and many other Unix platforms.
mxODBC Connect: A commercial client-server product that allows connecting Python to ODBC compatible databases running on remote servers without requiring an ODBC driver on the client side.
ODBTPAPI: http://benjiyork.com/odbtp.html
ADO Support
adodbapi (http://adodbapi.sourceforge.net/): A Python module that makes it easy to use Microsoft ADO for connecting to databases and other data sources.
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
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.
These entries still need to be merged into the resp. sub-pages:
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