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

• Teradata

• IBM Netezza

(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:

• asql

• GadFly

• SQLite

• ThinkSQL

(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.

• MetaKit

• ZODB

• BerkeleyDB

• KirbyBase

• Durus

• atop

• buzhug

(To add new entries, please choose DatabaseTemplate when creating the page.)

XML Databases

• 4Suite server

• Oracle/Sleepycat DB XML (howto)

Graph Databases

• Neo4j

(To add new entries, please choose DatabaseTemplate when creating the page.)

Native Python Databases

• buzhug

• SnakeSQL