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This Mac cask installs the clickhouse command-line binary, not a desktop graphical app or a ClickHouse Cloud subscription. It is useful for developers, data engineers and analysts querying files, testing SQL and connecting to existing ClickHouse databases.\n\n## One binary, different workflows\nThe binary provides local, client and server modes. clickhouse local can query local or remote files using SQL without starting a database server. clickhouse client connects to a separately running server. Server mode can create a persistent database service when explicitly configured and started. Installing this cask does not automatically provision a managed database, start a background service or create a production cluster. The separate clickhousectl management tool is not declared as an artifact of this cask.\n\n## Analytics and data access\nUse ClickHouse SQL for filtering, joins, aggregations and analytical queries. Local-mode table functions can access files or external data sources, subject to the formats, credentials and networking required by those sources. Persistent tables require appropriate server or local-path configuration; the default temporary local workflow is not a durable data store. Different processes must not share a locked local database directory concurrently.\n\n## Mac package\nThe recorded stable release is 26.9.12.8-stable, with separate Apple Silicon and Intel archives. The ARM64 ZIP is 222,156,345 bytes before extraction. Homebrew exposes the binary on its executable path. The cask declares no additional package dependencies or conflicts and does not specify an explicit macOS minimum in its dependency data; that is not a guarantee that every historical Mac system is supported. Use the build matching your CPU and review official installation guidance if macOS developer verification prevents launch.\n\n## Servers, permissions and resources\nA remote connection needs a reachable endpoint, database credentials and appropriate query privileges; configure TLS for secure connections where supported. Starting a local server also requires deliberate choices about configuration, data directories, network listeners, authentication and resources. Large queries can consume substantial memory, CPU and disk space. Review SQL before data-changing operations and maintain backups independently of installation. Existing ClickHouse binaries can compete for the same executable name, and servers can conflict when sharing a data directory or listening port, even though the cask lists no package conflict.\n\n## Open source and cloud costs\nThe ClickHouse database is distributed under Apache License 2.0 and can be used locally without a ClickHouse Cloud account or software subscription. ClickHouse Cloud is a separate hosted service with its own account, trial, metered charges and deployment configuration. External storage and data services can also charge for access. 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The statistics fix affects selectivity estimates, not query results. Upstream documents MATERIALIZE STATISTICS ALL for repairing already affected parts. \n\n[Official version-specific changelog](https:\u002F\u002Fgithub.com\u002FClickHouse\u002FClickHouse\u002Fblob\u002Fmaster\u002Fdocs\u002Fchangelogs\u002Fv26.9.12.8-stable.md)","2026-10-06T18:52:19Z",true,1831,"2026-10-07T09:38:27.243348Z",[59],{"area":60,"items":61},"Changes",[62,63,64,65,66,67],"Make filesystem-cache reservation granularity dynamic.","Fix text-index matches involving FixedString and trailing zero bytes.","Require appropriate SQL-security grants when modifying view queries.","Fix basic part statistics after updates or lightweight deletes.","Fix query hangs with CPU-slot preemption enabled.","Fix joins with IN subqueries and respect Iceberg metadata staleness.","editorial","en-US","Index correctness, view grants and query scheduling fixes.","ClickHouse 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architecture illustration comparing a ClickHouse cluster, server and local mode; not a Mac GUI screenshot.",725,"light","https:\u002F\u002Fcdn.opennavo.com\u002Fscreenshots\u002Fuploads\u002Fscreenshot\u002F06aeebfe0e96\u002F806a115bf2f4-640.png","https:\u002F\u002Fcdn.opennavo.com\u002Fscreenshots\u002Fuploads\u002Fscreenshot\u002F06aeebfe0e96\u002F806a115bf2f4-1280.png",1280,"https:\u002F\u002Fgithub.com\u002Fhomebrew\u002Fhomebrew-cask\u002Fblob\u002FHEAD\u002FCasks\u002Fc\u002Fclickhouse.rb","The ClickHouse command-line binary for SQL analytics on local data, database-server connections and independently configured server operation.",{"locale":69,"machineTranslated":18,"sourceLocale":69,"status":73},{"arm64":55,"requiresRosetta":18,"status":389,"x86_64":55},"known",[8,391,392,393],"database","sql","analytics","homebrew\u002Fcask",null,[397,408,419,430,439],{"accentColor":398,"autoUpdates":55,"deprecated":18,"disabled":18,"displayName":399,"editorChoice":18,"iconUrl":400,"installs30d":401,"isFont":18,"isLibrary":18,"kind":51,"machineTranslated":18,"name":399,"primaryCategory":402,"rank30d":403,"sourceLocale":69,"summary":404,"token":405,"version":406,"versionChangedAt":407},"#0A1A23","Redis Insight","https:\u002F\u002Fcdn.opennavo.com\u002Ficons\u002Fuploads\u002F6264fbee1030\u002Fc70af535d630-256.png",607,{"icon":21,"machineTranslated":18,"name":22,"slug":23,"sourceLocale":24},246,"Graphical Redis developer client for browsing data, running queries, managing search indexes and investigating performance.","redis-insight","3.8.0","2026-10-07T09:38:41.545736Z",{"accentColor":409,"autoUpdates":55,"deprecated":18,"disabled":18,"displayName":410,"editorChoice":18,"iconUrl":411,"installs30d":412,"isFont":18,"isLibrary":18,"kind":51,"machineTranslated":18,"name":410,"primaryCategory":413,"rank30d":414,"sourceLocale":69,"summary":415,"token":416,"version":417,"versionChangedAt":418},"#0547DC","DBX","https:\u002F\u002Fcdn.opennavo.com\u002Ficons\u002Fuploads\u002Fbe07a24235d1\u002F3ba7fcb5fb36-256.png",1327,{"icon":21,"machineTranslated":18,"name":22,"slug":23,"sourceLocale":24},138,"Open-source database client with SQL editing, schema tools, data grids, optional AI assistance and multi-engine drivers.","dbx","0.6.35","2026-10-07T09:38:28.442235Z",{"accentColor":420,"autoUpdates":18,"deprecated":18,"disabled":18,"displayName":421,"editorChoice":18,"iconUrl":422,"installs30d":423,"isFont":18,"isLibrary":18,"kind":51,"machineTranslated":18,"name":421,"primaryCategory":424,"rank30d":425,"sourceLocale":69,"summary":426,"token":427,"version":428,"versionChangedAt":429},"#1D4667","MySQL Workbench","https:\u002F\u002Fcdn.opennavo.com\u002Ficons\u002Fuploads\u002Fc54d35b46fee\u002F7dcee4a85dd7-256.png",897,{"icon":21,"machineTranslated":18,"name":22,"slug":23,"sourceLocale":24},181,"Graphical MySQL client for SQL development, database modeling and permitted server administration; MySQL Server is a separate 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Ace","https:\u002F\u002Fcdn.opennavo.com\u002Ficons\u002Fuploads\u002Fcb739a0cbb00\u002Fc39f2ed041c2-256.png",877,{"icon":21,"machineTranslated":18,"name":22,"slug":23,"sourceLocale":24},185,"Free Mac MySQL\u002FMariaDB client for browsing tables, editing records, querying and import\u002Fexport, with TLS and SSH connections; no database server bundled.","sequel-ace","6.0.2,20115","2026-10-07T20:45:22.274484Z","\u003Cp>ClickHouse is an open-source column-oriented database designed for analytical workloads. This Mac cask installs the clickhouse command-line binary, not a desktop graphical app or a ClickHouse Cloud subscription. It is useful for developers, data engineers and analysts querying files, testing SQL and connecting to existing ClickHouse databases.\u003C\u002Fp>\n\u003Ch3 class=\"on-md-heading-1\">One binary, different workflows\u003C\u002Fh3>\n\u003Cp>The binary provides local, client and server modes. clickhouse local can query local or remote files using SQL without starting a database server. clickhouse client connects to a separately running server. Server mode can create a persistent database service when explicitly configured and started. Installing this cask does not automatically provision a managed database, start a background service or create a production cluster. The separate clickhousectl management tool is not declared as an artifact of this cask.\u003C\u002Fp>\n\u003Ch3 class=\"on-md-heading-1\">Analytics and data access\u003C\u002Fh3>\n\u003Cp>Use ClickHouse SQL for filtering, joins, aggregations and analytical queries. Local-mode table functions can access files or external data sources, subject to the formats, credentials and networking required by those sources. Persistent tables require appropriate server or local-path configuration; the default temporary local workflow is not a durable data store. Different processes must not share a locked local database directory concurrently.\u003C\u002Fp>\n\u003Ch3 class=\"on-md-heading-1\">Mac package\u003C\u002Fh3>\n\u003Cp>The recorded stable release is 26.9.12.8-stable, with separate Apple Silicon and Intel archives. The ARM64 ZIP is 222,156,345 bytes before extraction. Homebrew exposes the binary on its executable path. The cask declares no additional package dependencies or conflicts and does not specify an explicit macOS minimum in its dependency data; that is not a guarantee that every historical Mac system is supported. Use the build matching your CPU and review official installation guidance if macOS developer verification prevents launch.\u003C\u002Fp>\n\u003Ch3 class=\"on-md-heading-1\">Servers, permissions and resources\u003C\u002Fh3>\n\u003Cp>A remote connection needs a reachable endpoint, database credentials and appropriate query privileges; configure TLS for secure connections where supported. Starting a local server also requires deliberate choices about configuration, data directories, network listeners, authentication and resources. Large queries can consume substantial memory, CPU and disk space. Review SQL before data-changing operations and maintain backups independently of installation. Existing ClickHouse binaries can compete for the same executable name, and servers can conflict when sharing a data directory or listening port, even though the cask lists no package conflict.\u003C\u002Fp>\n\u003Ch3 class=\"on-md-heading-1\">Open source and cloud costs\u003C\u002Fh3>\n\u003Cp>The ClickHouse database is distributed under Apache License 2.0 and can be used locally without a ClickHouse Cloud account or software subscription. ClickHouse Cloud is a separate hosted service with its own account, trial, metered charges and deployment configuration. External storage and data services can also charge for access. The free database license does not include free cloud infrastructure or guarantee the same version schedule as the managed service.\u003C\u002Fp>\n"]