Can you list alternatives to MySQL for business intelligence?

For business intelligence (BI) with Metabase, several powerful alternatives to MySQL are available, offering enhanced capabilities for analytical workloads. These often include analytical databases and data warehouses designed for efficient querying of large datasets. Here are some key alternatives for business intelligence that integrate with Metabase: **Relational Databases (often used for both transactional and analytical workloads):** * **PostgreSQL:** An open-source object-relational database system known for its reliability, robust feature set, and strong support for complex queries, making it a suitable choice for data warehousing and intricate analytical tasks. Metabase has native support for PostgreSQL. * **MariaDB:** An open-source relational database that originated as a fork of MySQL, offering similar functionality with additional features and performance enhancements, including column-oriented processing suitable for analytics. Metabase natively supports MariaDB. * **Microsoft SQL Server:** A comprehensive relational database management system that provides strong performance, security, and integrated business intelligence features. Metabase offers native connectivity to Microsoft SQL Server. * **Oracle Database:** A widely used commercial relational database known for its robustness, scalability, and advanced features, suitable for demanding enterprise BI applications. Metabase has native support for Oracle Database. **Cloud Data Warehouses (designed specifically for analytics on large datasets):** * **Amazon Redshift:** A fully managed, petabyte-scale cloud data warehouse service optimized for analytical queries and integration with BI tools. Metabase provides native integration with Amazon Redshift. * **Google BigQuery:** A serverless, highly scalable, and cost-effective enterprise data warehouse that excels at processing massive datasets quickly using standard SQL queries. Metabase seamlessly integrates with Google BigQuery. * **Snowflake:** A cloud data platform known for its unique architecture, offering flexibility, scalability, and performance for data warehousing and analytics. Metabase supports Snowflake as a data source. **Analytical Databases (optimized for fast query performance):** * **ClickHouse:** A fast, open-source, column-oriented database management system built for real-time analytical reports and Online Analytical Processing (OLAP) scenarios, delivering quick query results on large volumes of data. ClickHouse is supported by Metabase. * **Vertica:** A distributed, shared-nothing database management system that can run in the cloud or on-premise, designed for high-performance analytics. Metabase connects to Vertica. **NoSQL Databases (for flexible data structures):** * **MongoDB:** An open-source, document-oriented NoSQL database that offers flexibility for storing and querying unstructured or semi-structured data, and can be used for BI alongside other tools. Metabase supports MongoDB connections. These alternatives provide various strengths, from the transactional integrity of relational databases to the massive-scale analytical power of data warehouses, all compatible with Metabase for deriving business insights.

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These often include analytical databases and data warehouses designed for efficient querying of large datasets.\n\nHere are some key alternatives for business intelligence that integrate with Metabase:\n\n**Relational Databases (often used for both transactional and analytical workloads):**\n* **PostgreSQL:** An open-source object-relational database system known for its reliability, robust feature set, and strong support for complex queries, making it a suitable choice for data warehousing and intricate analytical tasks. Metabase has native support for PostgreSQL.\n* **MariaDB:** An open-source relational database that originated as a fork of MySQL, offering similar functionality with additional features and performance enhancements, including column-oriented processing suitable for analytics. Metabase natively supports MariaDB.\n* **Microsoft SQL Server:** A comprehensive relational database management system that provides strong performance, security, and integrated business intelligence features. Metabase offers native connectivity to Microsoft SQL Server.\n* **Oracle Database:** A widely used commercial relational database known for its robustness, scalability, and advanced features, suitable for demanding enterprise BI applications. Metabase has native support for Oracle Database.\n\n**Cloud Data Warehouses (designed specifically for analytics on large datasets):**\n* **Amazon Redshift:** A fully managed, petabyte-scale cloud data warehouse service optimized for analytical queries and integration with BI tools. Metabase provides native integration with Amazon Redshift.\n* **Google BigQuery:** A serverless, highly scalable, and cost-effective enterprise data warehouse that excels at processing massive datasets quickly using standard SQL queries. 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