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docs: cut 6.1.0 versions for docs, admin_docs, developer_docs, components
- Snapshot all four versioned docs sections at v6.1.0; master continues to serve as "Next" (lastVersion: current, banner: unreleased) so editing master keeps updating the canonical URLs - Enable the previously-disabled components plugin and version it - Rename stale "developer_portal" references to "developer_docs" across package.json scripts, manage-versions.mjs, theme files (DocVersionBadge, DocVersionBanner), DOCS_CLAUDE.md, and README.md (URL backward-compat redirect /developer_portal/* preserved) - Add admin_docs version scripts; drop dead "tutorials" plugin id from the version badge - Generalize fixVersionedImports in manage-versions.mjs to walk every section's snapshot and rewrite ../../src/ and ../../data/ imports, catching admin_docs and components files that previous version cuts would have broken - Remove orphan files: developer_portal_versions.json, tutorials_versions.json, and stray empty versions.json files inside components/ and developer_docs/ content directories
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---
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title: Databricks
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sidebar_label: Databricks
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description: "Databricks is a unified analytics platform built on Apache Spark, providing data engineering, data science, and machine learning capabilities in the cloud. Use "
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hide_title: true
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---
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{/*
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Licensed to the Apache Software Foundation (ASF) under one
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or more contributor license agreements. See the NOTICE file
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distributed with this work for additional information
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regarding copyright ownership. The ASF licenses this file
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to you under the Apache License, Version 2.0 (the
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"License"); you may not use this file except in compliance
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with the License. You may obtain a copy of the License at
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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing,
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software distributed under the License is distributed on an
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"AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
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KIND, either express or implied. See the License for the
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specific language governing permissions and limitations
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under the License.
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*/}
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import { DatabasePage } from '@site/src/components/databases';
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export const databaseInfo = {"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},"module":"superset.db_engine_specs.databricks","limit_method":1,"limit_clause":true,"joins":true,"subqueries":true,"alias_in_select":true,"alias_in_orderby":true,"time_groupby_inline":false,"alias_to_source_column":false,"order_by_not_in_select":true,"expressions_in_orderby":false,"cte_in_subquery":true,"max_column_name":null,"sql_comments":true,"escaped_colons":true,"masked_encrypted_extra":false,"column_type_mapping":false,"function_names":false,"user_impersonation":false,"file_upload":true,"get_extra_table_metadata":false,"dbapi_exception_mapping":false,"custom_errors":true,"dynamic_schema":true,"catalog":true,"dynamic_catalog":true,"ssh_tunneling":true,"query_cancelation":false,"get_metrics":false,"where_latest_partition":false,"expand_data":false,"query_cost_estimation":false,"sql_validation":false,"score":70,"max_score":201,"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."}],"category":"Cloud Data Warehouses"},"engine":"databricks","engine_name":"Databricks","engine_aliases":[],"default_driver":"databricks-sql-python","supports_file_upload":true,"supports_dynamic_schema":true,"supports_catalog":true,"supports_dynamic_catalog":true};
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<DatabasePage name="Databricks" database={databaseInfo} />
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