Can you list alternatives to MySQL for business intelligence?

For business intelligence (BI) with Metabase, several databases can serve as alternatives to MySQL, offering various strengths depending on your specific needs. Metabase supports a wide range of databases, from traditional relational databases to cloud-based data warehouses. Here are some notable alternatives: **Relational Databases:** * **PostgreSQL** An open-source object-relational database known for its reliability, advanced features, and strong support for complex queries and data integrity. It's often considered a powerful alternative to MySQL for analytical workloads. * **MariaDB** An open-source fork of MySQL that offers enhanced performance and features, making it a reliable option for analytical use cases. * **Microsoft SQL Server** A robust relational database management system suitable for enterprise BI, offering strong integration and performance. * **Oracle Database** An enterprise-grade relational database that Metabase can connect to for business intelligence purposes. **Cloud Data Warehouses (optimized for analytics):** * **Amazon Redshift** A fully managed, petabyte-scale cloud data warehouse designed for high-performance analytics and complex queries on large datasets. Metabase offers seamless integration with Redshift. * **Google BigQuery** A serverless and highly scalable enterprise data warehouse that processes large datasets quickly using standard SQL, making it a strong choice for BI and compatible with Metabase. * **Snowflake** A cloud-based data warehouse solution known for its flexibility and ability to handle various data types and analytical workloads. Metabase integrates with Snowflake. * **Vertica** A columnar-oriented database that can be deployed on-premises or in the cloud, optimized for analytical queries on vast amounts of data. **Other Databases for Specific Use Cases:** * **ClickHouse** An open-source, columnar database built for high-performance online analytical processing (OLAP), making it suitable for real-time analytics and large structured datasets. * **MongoDB** A NoSQL document database that provides flexible scalability for unstructured or semi-structured data, and Metabase supports connections to MongoDB (version 3.6 or higher).

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Metabase offers seamless integration with Redshift.\n* **Google BigQuery** A serverless and highly scalable enterprise data warehouse that processes large datasets quickly using standard SQL, making it a strong choice for BI and compatible with Metabase.\n* **Snowflake** A cloud-based data warehouse solution known for its flexibility and ability to handle various data types and analytical workloads. 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