PyExasol

Continuous Integration (master) Anaconda PyPi Package Downloads Supported Python Versions

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

Project links

Key dates

PyPI data
Data sourced directly from PyPI's database.
  • Released:
Newer release available (2.4.0)

2 maintainers

PyPI data
Data sourced directly from PyPI's database.
Avatar for exa-ci-5 from gravatar.com exa-ci-5 Avatar for wildraid from gravatar.com wildraid

Credits

Author: Vitaly Markov

License expression

MIT
View SPDX License List

Requires

Python <3.15, >=3.10

Provides Extra

all examples orjson pandas performance polars pyarrow rapidjson ujson

Tags

exasol sql database performance websocket import export

Classifiers

Report project as malware

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Source Distribution

pyexasol-2.3.1.tar.gz (64.0 kB view details)

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