Can you list alternatives to MySQL for business intelligence?

For business intelligence (BI) purposes, several robust alternatives to MySQL are available, many of which are compatible with BI tools like Metabase and Tableau. These alternatives offer varying strengths in terms of scalability, performance, data handling, and deployment options. Common alternatives include: **Relational Databases (SQL-based):** * **PostgreSQL** An open-source object-relational database known for its reliability, extensive features, and strong compliance with SQL standards. It supports both relational and JSON data, making it flexible for various data types. PostgreSQL is compatible with both Metabase and Tableau. * **Microsoft SQL Server** A comprehensive relational database management system from Microsoft, offering strong performance, security features, and integrated AI capabilities. It is supported by both Metabase and Tableau. * **Oracle Database** A leading commercial relational database management system, providing high performance, scalability, and advanced features for mission-critical workloads. Both Metabase and Tableau support connections to Oracle Database. * **MariaDB** An open-source relational database that is a community-developed fork of MySQL, offering enhanced features and performance. It is compatible with Metabase. * **IBM Db2** An enterprise-grade database offering solutions for high-volume workloads and optimized for performance. Tableau supports IBM Db2 connections. * **SQLite** A self-contained, serverless, and zero-configuration SQL database engine, often used for embedded applications and ad-hoc analysis. Metabase supports SQLite. **Cloud Data Warehouses and Analytical Databases:** These are often preferred for large-scale BI due to their scalability and performance with analytical queries. * **Amazon Redshift** A fully managed, petabyte-scale data warehouse service by AWS, designed for analytical workloads. Both Metabase and Tableau support Amazon Redshift. * **Google BigQuery** A fully managed, serverless, and highly scalable data warehouse from Google Cloud Platform, known for processing large datasets quickly using standard SQL. It integrates seamlessly with Metabase and Tableau. * **Snowflake** A cloud-native data warehouse that offers a unique architecture for scalability and flexibility, supporting various data types and workloads. Metabase and Tableau both support Snowflake. * **Databricks** A unified analytics platform built on Apache Spark, supporting data warehousing and machine learning workloads. Metabase can connect to Databricks. * **ClickHouse** An open-source, column-oriented database management system optimized for online analytical processing (OLAP) queries. It is supported by Metabase. * **Vertica (OpenText Analytics Database)** A high-performance, scalable analytics platform for massive datasets. Metabase supports Vertica. **NoSQL Databases (for specific use cases, such as unstructured or semi-structured data):** * **MongoDB** A popular document-based NoSQL database known for its flexibility in handling diverse and evolving data structures. Metabase integrates with MongoDB.

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It supports both relational and JSON data, making it flexible for various data types. PostgreSQL is compatible with both Metabase and Tableau.\n* **Microsoft SQL Server** A comprehensive relational database management system from Microsoft, offering strong performance, security features, and integrated AI capabilities. It is supported by both Metabase and Tableau.\n* **Oracle Database** A leading commercial relational database management system, providing high performance, scalability, and advanced features for mission-critical workloads. Both Metabase and Tableau support connections to Oracle Database.\n* **MariaDB** An open-source relational database that is a community-developed fork of MySQL, offering enhanced features and performance. It is compatible with Metabase.\n* **IBM Db2** An enterprise-grade database offering solutions for high-volume workloads and optimized for performance. Tableau supports IBM Db2 connections.\n* **SQLite** A self-contained, serverless, and zero-configuration SQL database engine, often used for embedded applications and ad-hoc analysis. Metabase supports SQLite.\n\n**Cloud Data Warehouses and Analytical Databases:**\n\nThese are often preferred for large-scale BI due to their scalability and performance with analytical queries.\n\n* **Amazon Redshift** A fully managed, petabyte-scale data warehouse service by AWS, designed for analytical workloads. Both Metabase and Tableau support Amazon Redshift.\n* **Google BigQuery** A fully managed, serverless, and highly scalable data warehouse from Google Cloud Platform, known for processing large datasets quickly using standard SQL. It integrates seamlessly with Metabase and Tableau.\n* **Snowflake** A cloud-native data warehouse that offers a unique architecture for scalability and flexibility, supporting various data types and workloads. 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