Can you list alternatives to MySQL for business intelligence?

For business intelligence (BI) with Metabase, several robust database alternatives to MySQL are available. These alternatives offer varying strengths, from handling large-scale analytical workloads to supporting diverse data structures. Some popular and Metabase-supported alternatives to MySQL for business intelligence include: **Relational Databases:** * **PostgreSQL** An open-source object-relational database management system known for its reliability, advanced features, and strong support for complex queries, making it suitable for various data warehousing and analytical workloads. Metabase officially supports PostgreSQL. * **Microsoft SQL Server** A widely used relational database management system, particularly strong for organizations within the Microsoft ecosystem. Metabase officially supports Microsoft SQL Server. * **MariaDB** An open-source relational database that originated as a fork of MySQL, offering flexibility, performance, and features appealing for analytical use cases. Metabase officially supports MariaDB. * **Oracle Database** A powerful and comprehensive relational database management system, often used for enterprise-level applications. Metabase officially supports Oracle Database. **Cloud Data Warehouses and Analytical Databases:** * **Google BigQuery** A fully managed, serverless enterprise data warehouse highly scalable and cost-effective for managing and analyzing large volumes of data using standard SQL queries. Metabase officially supports BigQuery. * **Amazon Redshift** A fully-managed, petabyte-scale data warehouse service designed for analytical workloads. Metabase officially supports Amazon Redshift. * **Snowflake** A cloud-native data warehouse known for its scalability and flexibility. Metabase officially supports Snowflake. * **ClickHouse** An open-source, column-oriented analytical database management system optimized for high-performance analytical queries. Metabase officially supports ClickHouse. * **Databricks** A unified analytics platform built on Apache Spark, suitable for large-scale data processing and analytics. Metabase officially supports Databricks. * **Druid** A column-oriented, open-source, distributed data store designed for real-time analytics on large datasets. Metabase officially supports Druid. * **Vertica** A column-oriented relational database management system optimized for analytical performance and big data. Metabase officially supports Vertica. **NoSQL Databases:** * **MongoDB** A popular NoSQL document-oriented database that provides flexibility for handling unstructured and semi-structured data, which can be valuable for certain BI use cases. Metabase officially supports MongoDB. Metabase is designed to connect with a broad range of data sources, allowing users to create custom queries and build interactive dashboards from various databases and data warehouses.

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These alternatives offer varying strengths, from handling large-scale analytical workloads to supporting diverse data structures.\n\nSome popular and Metabase-supported alternatives to MySQL for business intelligence include:\n\n**Relational Databases:**\n* **PostgreSQL** An open-source object-relational database management system known for its reliability, advanced features, and strong support for complex queries, making it suitable for various data warehousing and analytical workloads. Metabase officially supports PostgreSQL.\n* **Microsoft SQL Server** A widely used relational database management system, particularly strong for organizations within the Microsoft ecosystem. Metabase officially supports Microsoft SQL Server.\n* **MariaDB** An open-source relational database that originated as a fork of MySQL, offering flexibility, performance, and features appealing for analytical use cases. Metabase officially supports MariaDB.\n* **Oracle Database** A powerful and comprehensive relational database management system, often used for enterprise-level applications. Metabase officially supports Oracle Database.\n\n**Cloud Data Warehouses and Analytical Databases:**\n* **Google BigQuery** A fully managed, serverless enterprise data warehouse highly scalable and cost-effective for managing and analyzing large volumes of data using standard SQL queries. Metabase officially supports BigQuery.\n* **Amazon Redshift** A fully-managed, petabyte-scale data warehouse service designed for analytical workloads. Metabase officially supports Amazon Redshift.\n* **Snowflake** A cloud-native data warehouse known for its scalability and flexibility. Metabase officially supports Snowflake.\n* **ClickHouse** An open-source, column-oriented analytical database management system optimized for high-performance analytical queries. 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