pyexasol
Exasol python driver with extra features
Decision gist · record as of 2026-08-14
Yes. PyExasol is the official, actively maintained connector for Exasol with low install friction, no known vulnerabilities, and a permissive MIT license. It is production-stable and designed specifically for high-performance parallel data transfer. Install it if you work with Exasol and need Python connectivity; the parallel-stream architecture makes it the natural choice over generic ODBC drivers for this DBMS.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Exasol >= 7.1 and Python >= 3.10; an Exasol database instance must be accessible at the specified host:port.
- Low install friction with a pure-wheel distribution.
- Actively maintained by Exasol with a recent release (9 days old) and consistent commit activity.
License · maintenance · safety
MIT (permissive) — MIT license permits unrestricted use, modification, and distribution with minimal obligations—suitable for commercial and open-source projects alike.
last release 2026-08-05 (9 days) · last repo commit 2026-08-14 · 81 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 5,404,276 downloads/mo, #2,109 on PyPI
Alternatives
Verify before relying
pip install pyexasol
import pyexasol
conn = pyexasol.connect(dsn='host:port', user='user', password='pass')
result = conn.execute('SELECT * FROM table')
for row in result:
print(row)- Actual performance improvement magnitude over ODBC in typical workloads remains unquantified.
- Specific scalability characteristics and hardware utilization patterns with parallel streams are not detailed.
- Whether compression is automatic or requires explicit configuration.
What it is and what it does
PyExasol is the officially maintained Python driver for Exasol databases, built on the WebSocket protocol to minimize overhead and maximize throughput. It handles large data volumes efficiently and integrates with data processing tools via HTTP transport. The package's core strength is its support for parallel data streams across separate processes, allowing you to move beyond single-core limitations and achieve linear scalability by fully utilizing available hardware.
The connector compresses data to reduce network bottleneck and provides an API for reading and writing multiple streams in parallel. It requires Python >= 3.10 and Exasol >= 7.1, and depends on cryptography, packaging, and websocket-client for its core functionality. The project is actively maintained by Exasol and marked as Production/Stable.
Use it for
- Bulk data import and transfer from Exasol into Python data processing workflows.
- High-throughput ETL pipelines that need to move large datasets between Exasol and Python tools.
- Multi-process data loading to fully utilize multi-core systems and achieve linear performance scaling.
- Integration of Exasol queries into data science workflows.
- Replacing ODBC-based connectors when single-process performance becomes a bottleneck.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes.
PyExasol is the official, actively maintained connector for Exasol with low install friction, no known vulnerabilities, and a permissive MIT license. It is production-stable and designed specifically for high-performance parallel data transfer. Install it if you work with Exasol and need Python connectivity; the parallel-stream architecture makes it the natural choice over generic ODBC drivers for this DBMS.
Install
pyexasol on PyPI
Before you install
Low install friction with a pure-wheel distribution. Actively maintained by Exasol with a recent release (9 days old) and consistent commit activity. Requires Python >= 3.10 and Exasol >= 7.1.
Requires Exasol >= 7.1 and Python >= 3.10; an Exasol database instance must be accessible at the specified host:port.
License in practice
MIT license permits unrestricted use, modification, and distribution with minimal obligations—suitable for commercial and open-source projects alike.
Quickstart
pip install pyexasol
import pyexasol
conn = pyexasol.connect(dsn='host:port', user='user', password='pass')
result = conn.execute('SELECT * FROM table')
for row in result:
print(row)Verify before relying
- Actual performance improvement magnitude over ODBC in typical workloads remains unquantified.
- Specific scalability characteristics and hardware utilization patterns with parallel streams are not detailed.
- Whether compression is automatic or requires explicit configuration.
Package facts
| License | MIT permissive |
| Python support | Supports the current Python release <3.15,>=3.10 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 3 packagescryptographypackagingwebsocket-client |
| Maintenance | Actively maintained 9 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 5,404,276 / month, #2,109 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 5 - Production/StableIntended Audience :: DevelopersLicense :: OSI Approved :: MIT LicenseProgramming Language :: Python :: 3Programming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.14Topic :: Database |
Evidence: pyexasol-2.3.1-py3-none-any.whl
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