https://github.com/blue-yonder/turbodbc

Turbodbc is a Python module to access relational databases via the Open Database Connectivity (ODBC) interface. The module complies with the Python Database API Specification 2.0.
https://github.com/blue-yonder/turbodbc

data-science database exasol numpy odbc pep249 pyodbc python python-database-api speedup

Last synced: 9 days ago
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Turbodbc is a Python module to access relational databases via the Open Database Connectivity (ODBC) interface. The module complies with the Python Database API Specification 2.0.

• Host: GitHub
• URL: https://github.com/blue-yonder/turbodbc
• Owner: blue-yonder
• License: mit
• Created: 2016-03-18T09:30:27.000Z (about 9 years ago)
• Default Branch: master
• Last Pushed: 2025-04-01T09:02:23.000Z (19 days ago)
• Last Synced: 2025-04-03T19:09:51.623Z (17 days ago)
• Topics: data-science, database, exasol, numpy, odbc, pep249, pyodbc, python, python-database-api, speedup
• Language: C++
• Homepage: http://turbodbc.readthedocs.io/en/latest
• Size: 2.86 MB
• Stars: 628
• Watchers: 30
• Forks: 85
• Open Issues: 99
• Metadata Files:
  • Readme: README.md
  • Changelog: CHANGELOG.rst
  • License: LICENSE
  • Codeowners: .github/CODEOWNERS

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README

        
![turbodbc logo](/page/logo.png?raw=true "turbodbc logo")

Turbodbc - Turbocharged database access for data scientists.

============================================================

[![Build Status](https://github.com/blue-yonder/turbodbc/workflows/CI/badge.svg?branch=master)](https://github.com/blue-yonder/turbodbc/actions)

[![Documentation Status](https://readthedocs.org/projects/turbodbc/badge/?version=latest)](http://turbodbc.readthedocs.io/en/latest/?badge=latest)

[![codecov](https://codecov.io/gh/blue-yonder/turbodbc/branch/master/graph/badge.svg)](https://codecov.io/gh/blue-yonder/turbodbc)

[![Anaconda-Server Badge](https://anaconda.org/conda-forge/turbodbc/badges/installer/conda.svg)](https://conda.anaconda.org/conda-forge)

[![Anaconda-Server Badge](https://anaconda.org/conda-forge/turbodbc/badges/downloads.svg)](https://anaconda.org/conda-forge/turbodbc)

Turbodbc is a Python module to access relational databases via the

[Open Database Connectivity (ODBC)](https://en.wikipedia.org/wiki/Open_Database_Connectivity)

interface. Its primary target audience are data scientists

that use databases for which no efficient native Python drivers are available.

For maximum compatibility, turbodbc complies with the

[Python Database API Specification 2.0 (PEP 249)](https://www.python.org/dev/peps/pep-0249/).

For maximum performance, turbodbc offers built-in [NumPy](http://www.numpy.org) and

[Apache Arrow](https://arrow.apache.org) support

and internally relies on batched data transfer instead of single-record communication as

other popular ODBC modules do.

Turbodbc is free to use ([MIT license](https://github.com/blue-yonder/turbodbc/blob/master/LICENSE)),

open source ([GitHub](https://github.com/blue-yonder/turbodbc)),

works with Python 3.9+, and is available for Linux, macOS, and Windows.

Turbodbc is routinely tested with [MySQL](https://www.mysql.com),

[PostgreSQL](https://www.postgresql.org), [EXASOL](http://www.exasol.com),

and [MSSQL](http://microsoft.com/sql), but probably also works with your database.

Nice! Where can I find documentation?

-------------------------------------

Follow this link to the [latest turbodbc documentation](http://turbodbc.readthedocs.io/en/latest/).

The documentation explains how to install and use turbodbc, and also provides

answers to many questions you might have.

Is turbodbc on Twitter?

-----------------------

Yes, it is! Just follow [@turbodbc](https://twitter.com/turbodbc)

for the latest turbodbc talk and news about related technologies.