databricks-sql-connector

Databricks SQL Connector for Python

databricks-sql-connector Permissive license Apache-2.0 Active ★ 233 v4.4.0 released 2026-07-22

Install

databricks-sql-connector on PyPI

pip

pip install databricks-sql-connector

uv

uv add databricks-sql-connector

poetry

poetry add databricks-sql-connector

Package facts

License	Apache-2.0 (permissive)
Python support	supports the current Python release (<4.0,>=3.10)
Install friction	low — pure-Python wheel
Runtime dependencies	10 — lz4, oauthlib, openpyxl, pandas, pybreaker, pyjwt, python-dateutil, requests, thrift, urllib3
Maintenance	actively maintained — 22 days since the last release
Last repo commit	2026-08-13
First released	2021-08-05
Popularity	one of the top 1,000 most-downloaded packages on PyPI (30-day window, as of 2026-08-13)
Known vulnerabilities	none known (OSV.dev, checked 2026-08-13)

Evidence: databricks_sql_connector-4.4.0-py3-none-any.whl

License :: OSI Approved :: Apache Software LicenseProgramming Language :: Python :: 3Programming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.14

About databricks-sql-connector

from the package's own PyPI description — quoted content, verbatim

Databricks SQL Connector for Python

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The Databricks SQL Connector for Python allows you to develop Python applications that connect to Databricks clusters and SQL warehouses. It is a Thrift-based client with no dependencies on ODBC or JDBC. It conforms to the Python DB API 2.0 specification.

This connector uses Arrow as the data-exchange format, and supports APIs (e.g. fetchmany_arrow) to directly fetch Arrow tables. Arrow tables are wrapped in the ArrowQueue class to provide a natural API to get several rows at a time. PyArrow is required to enable this and use these APIs, you can install it via pip install pyarrow or pip install databricks-sql-connector[pyarrow].

The connector includes built-in support for HTTP/HTTPS proxy servers with multiple authentication methods including basic authentication and Kerberos/Negotiate...

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AI interpretation — verify before relying

AI-generated interpretation of the package facts above; every digit, version, license, or vulnerability id it cites is grounded in the facts already shown on this page

A Thrift-based Python client for connecting to Databricks clusters and SQL warehouses, conforming to Python DB API 2.0 and supporting Arrow-based data exchange with optional Rust kernel acceleration.

Low install friction with a pure-Python wheel and 10 well-established runtime dependencies. Actively maintained with a release 22 days ago and ongoing repository activity; supports Python 3.10–3.14.

Licensed under Apache-2.0 (permissive), allowing commercial and private use with minimal restrictions beyond attribution and liability disclaimers.

Usage

pip install databricks-sql-connector

import os
from databricks import sql

host = os.getenv("DATABRICKS_HOST")
http_path = os.getenv("DATABRICKS_HTTP_PATH")
connection = sql.connect(server_hostname=host, http_path=http_path)
cursor = connection.cursor()
cursor.execute('SELECT * FROM RANGE(10)')
result = cursor.fetchall()
cursor.close()
connection.close()

Requires Python >= 3.10; DATABRICKS_HOST and DATABRICKS_HTTP_PATH environment variables must be set for the example to run.

Verdict: A well-maintained, actively developed connector from Databricks with low install friction, permissive licensing, and no known vulnerabilities. Suitable for production use in applications requiring Python DB API 2.0 compliance and Arrow-native data access to Databricks infrastructure.

Needs verification

Whether the optional [pyarrow] and [kernel] extras are commonly used and their stability track record.
Performance characteristics of the Rust kernel backend relative to the default Thrift backend.
Real-world adoption and community support beyond the top-1000 tier indicator.

databricks sql connector pythonpython db api databricksthrift client databricks warehousearrow data exchange databricksdatabricks cluster connectionsql warehouse python driverdatabricks oauth authentication