---
id: databricks-sql-connector
version: "4.4.0"
license: Apache-2.0
license_treatment: permissive
maintenance: active
---

# databricks-sql-connector — Databricks SQL Connector for Python

License: permissive · Maintenance: active · Popularity: top 1,000 on PyPI

## Install

pip install databricks-sql-connector
uv add databricks-sql-connector
poetry add databricks-sql-connector

## Description

# 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](https://www.python.org/dev/peps/pep-0249/).

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](https://arrow.apache.org/docs/python/index.html) 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...

## AI interpretation — verify before relying

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.

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.

[View on SkillFed](https://skillfed.io/packages/databricks-sql-connector) · [View on PyPI](https://pypi.org/project/databricks-sql-connector/)