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Python SQLAlchemy Dialect for JDBCAPI.

Project description

JDBC Connection for SQLAlchemy.

The primary purpose of this dialect is provide JDBC connection using required driver.


Installing the dialect is straightforward.

python3 -m pip install git+



Set an environment variable  `PG_JDBC_DRIVER_PATH`

from sqlalchemy import create_engine create_engine('jdbcapi+pgjdbc://{}:{}@{}/{}'.format(username, password, <ip:host>', <database name>))


Set an environment variable `ORACLE_JDBC_DRIVER_PATH`

create_engine("jdbcapi+oraclejdbc://username:password@HOST:1521/Database") #GenericJDBCConnection Set an environment variable JDBC_DRIVER_PATH

Supported databases

In theory every database with a suitable JDBC driver should work.

  • SQLite
  • Hypersonic SQL (HSQLDB)
  • IBM DB2
  • IBM DB2 for mainframes
  • Oracle
  • Teradata DB
  • Netezza
  • Mimer DB
  • Microsoft SQL Server
  • MySQL
  • PostgreSQL
  • many more...


Please submit bugs and patches <>_. All contributors will be acknowledged. Thanks!

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