---
title: Databricks
sidebar_label: Databricks
description: "Databricks is a unified analytics platform built on Apache Spark, providing data engineering, data science, and machine learning capabilities in the cloud. Use "
hide_title: true
---

{/*
Licensed to the Apache Software Foundation (ASF) under one
or more contributor license agreements.  See the NOTICE file
distributed with this work for additional information
regarding copyright ownership.  The ASF licenses this file
to you under the Apache License, Version 2.0 (the
"License"); you may not use this file except in compliance
with the License.  You may obtain a copy of the License at

  http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing,
software distributed under the License is distributed on an
"AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
KIND, either express or implied.  See the License for the
specific language governing permissions and limitations
under the License.
*/}

import { DatabasePage } from '@site/src/components/databases';

export const databaseInfo = {"engine":"databricks","engine_name":"Databricks","module":"databricks","documentation":{"description":"Databricks is a unified analytics platform built on Apache Spark, providing data engineering, data science, and machine learning capabilities in the cloud. Use the Python Connector for SQL warehouses and clusters.","logo":"databricks.png","homepage_url":"https://www.databricks.com/","categories":["CLOUD_DATA_WAREHOUSES","ANALYTICAL_DATABASES","HOSTED_OPEN_SOURCE"],"pypi_packages":["apache-superset[databricks]"],"install_instructions":"pip install apache-superset[databricks]","connection_string":"databricks://token:{access_token}@{host}:{port}?http_path={http_path}&catalog={catalog}&schema={schema}","parameters":{"access_token":"Personal access token from Settings > User Settings","host":"Server hostname from cluster JDBC/ODBC settings","port":"Port (default 443)","http_path":"HTTP path from cluster JDBC/ODBC settings"},"drivers":[{"name":"Databricks Python Connector (Recommended)","pypi_package":"databricks-sql-connector","connection_string":"databricks://token:{access_token}@{host}:{port}?http_path={http_path}&catalog={catalog}&schema={schema}","is_recommended":true,"notes":"Official Databricks connector. Best for SQL warehouses and clusters."},{"name":"Hive Connector (Interactive Clusters)","pypi_package":"databricks-dbapi[sqlalchemy]","connection_string":"databricks+pyhive://token:{access_token}@{host}:{port}/{database}","is_recommended":false,"notes":"For Interactive Clusters. Requires http_path in engine parameters."},{"name":"ODBC (SQL Endpoints)","pypi_package":"pyodbc","connection_string":"databricks+pyodbc://token:{access_token}@{host}:{port}/{database}","is_recommended":false,"notes":"Requires ODBC driver. For serverless SQL warehouses."},{"name":"databricks-dbapi (Legacy)","pypi_package":"databricks-dbapi[sqlalchemy]","connection_string":"databricks+connector://token:{access_token}@{host}:{port}/{database}","is_recommended":false,"notes":"Legacy connector. Use Python Connector for new deployments."}]},"time_grains":{"SECOND":true,"FIVE_SECONDS":false,"THIRTY_SECONDS":false,"MINUTE":true,"FIVE_MINUTES":false,"TEN_MINUTES":false,"FIFTEEN_MINUTES":false,"THIRTY_MINUTES":false,"HALF_HOUR":false,"HOUR":true,"SIX_HOURS":false,"DAY":true,"WEEK":true,"WEEK_STARTING_SUNDAY":true,"WEEK_STARTING_MONDAY":false,"WEEK_ENDING_SATURDAY":true,"WEEK_ENDING_SUNDAY":false,"MONTH":true,"QUARTER":true,"QUARTER_YEAR":false,"YEAR":true},"score":70,"max_score":201,"joins":true,"subqueries":true,"supports_dynamic_schema":true,"supports_catalog":true,"supports_dynamic_catalog":true,"ssh_tunneling":true,"supports_file_upload":true,"query_cancelation":false,"query_cost_estimation":false,"sql_validation":false,"user_impersonation":false};

<DatabasePage name="Databricks" database={databaseInfo} />
