DatabaseInterfaces (original) (raw)
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Contents
- Generic Database Interfaces and APIs
- Database Interfaces for Relational Database Systems
- Non-Relational Databases
- Native Python Databases
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)
- Informix
- Ingres
- MySQL
- Oracle
- PostgreSQL
- SAP DB (also known as "MaxDB")
- Microsoft SQL Server
- Microsoft Access
- Sybase
- InterSystems IRIS
(To add new entries, please choose DatabaseTemplate when creating the page.)
Data Warehouse Database Systems
(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.)