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pyexasol

Exasol python driver with extra features

Downloads: 0 (30 days)

Description

<h1 align="center">PyExasol</h1> <p align="center"> <a href="https://github.com/exasol/pyexasol/actions/workflows/pr-merge.yml"> <img src="https://github.com/exasol/pyexasol/actions/workflows/pr-merge.yml/badge.svg?branch=master" alt="Continuous Integration (master)"> </a> <a href="https://anaconda.org/conda-forge/pyexasol"> <img src="https://anaconda.org/conda-forge/pyexasol/badges/version.svg" alt="Anaconda"> </a> <a href="https://pypi.org/project/pyexasol/"> <img src="https://img.shields.io/pypi/v/pyexasol" alt="PyPi Package"> </a> <a href="https://pypi.org/project/pyexasol/"> <img src="https://img.shields.io/pypi/dm/pyexasol" alt="Downloads"> </a> <a href="https://pypi.org/project/pyexasol/"> <img src="https://img.shields.io/pypi/pyversions/pyexasol" alt="Supported Python Versions"> </a> </p>

PyExasol is the officially supported Python connector for Exasol. It helps to handle massive volumes of data commonly associated with this DBMS.

You may expect significant performance improvement over ODBC in a single process scenario involving pandas, parquet, or polars.

PyExasol provides an API to read & write multiple data streams in parallel using separate processes, which is necessary to fully utilize hardware and achieve linear scalability. With PyExasol you are no longer limited to a single CPU core.



PyExasol Main Concepts

  • Based on WebSocket protocol;
  • Optimized for minimum overhead;
  • Easy integration with pandas, parquet, and polars via HTTP transport;
  • Compression to reduce network bottleneck;

System Requirements

  • Exasol >= 7.1
  • Python >= 3.10

Getting Started

Check out PyExasol's Getting Started page for your first steps.

Developers