Can you list alternatives to MySQL for business intelligence?

For business intelligence (BI), several robust alternatives to MySQL are available, offering varying strengths in scalability, performance, and data handling. These alternatives include other relational databases, cloud-based data warehouses, and NoSQL databases. Here are some alternatives to MySQL for business intelligence: **Relational Databases (Alternatives to MySQL):** * **PostgreSQL:** An open-source object-relational database known for its strong compliance with SQL standards, reliability, and advanced features, making it a powerful choice for complex data analysis. Both Metabase and Power BI support PostgreSQL connections. * **Microsoft SQL Server:** A comprehensive relational database management system that integrates well with the Microsoft ecosystem, including Power BI. It offers strong performance, security features, and built-in AI capabilities for intelligent applications and mobile BI. Metabase also supports Microsoft SQL Server. * **MariaDB:** An open-source relational database that originated as a fork of MySQL, offering similar compatibility and performance but with a focus on open standards and community-driven development. Metabase supports MariaDB. * **Oracle Database:** A powerful relational multi-model database management system suitable for enterprise-level applications and BI, also supported by Metabase. * **Amazon Relational Database Service (RDS):** A managed service by AWS that supports several relational database engines, including PostgreSQL, Oracle, and Microsoft SQL Server, simplifying setup and scaling. **Cloud Data Warehouses (Optimized for BI):** These solutions are designed for analytical workloads and handling large datasets, often integrating seamlessly with BI tools. * **Amazon Redshift:** A highly scalable and cost-effective cloud data warehouse from AWS, optimized for running complex queries on large datasets. It integrates well with Metabase and Power BI. * **Google BigQuery:** A serverless and highly scalable data warehouse within the Google Cloud Platform, known for processing massive datasets quickly and integrating with other Google Cloud services. It is compatible with both Metabase and Power BI. * **Snowflake:** A cloud data platform known for its flexibility and ability to handle diverse data workloads, including BI and analytics. Metabase supports Snowflake. * **Microsoft Azure Synapse Analytics:** Microsoft's unified analytics platform that combines data integration, data warehousing, and big data analytics, with strong integration with Power BI. **NoSQL Databases (For flexible data models):** While often used for unstructured or semi-structured data, some NoSQL databases can serve as data sources for BI, especially when flexibility and scalability are paramount. * **MongoDB:** A source-available, cross-platform, document-oriented database that offers flexibility for various data types. Metabase is compatible with MongoDB. * **Apache Cassandra:** A distributed NoSQL database designed for high availability and linear scalability, suitable for handling large amounts of data across many servers.

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These alternatives include other relational databases, cloud-based data warehouses, and NoSQL databases.\n\nHere are some alternatives to MySQL for business intelligence:\n\n**Relational Databases (Alternatives to MySQL):**\n* **PostgreSQL:** An open-source object-relational database known for its strong compliance with SQL standards, reliability, and advanced features, making it a powerful choice for complex data analysis. Both Metabase and Power BI support PostgreSQL connections.\n* **Microsoft SQL Server:** A comprehensive relational database management system that integrates well with the Microsoft ecosystem, including Power BI. It offers strong performance, security features, and built-in AI capabilities for intelligent applications and mobile BI. 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It integrates well with Metabase and Power BI.\n* **Google BigQuery:** A serverless and highly scalable data warehouse within the Google Cloud Platform, known for processing massive datasets quickly and integrating with other Google Cloud services. It is compatible with both Metabase and Power BI.\n* **Snowflake:** A cloud data platform known for its flexibility and ability to handle diverse data workloads, including BI and analytics. Metabase supports Snowflake.\n* **Microsoft Azure Synapse Analytics:** Microsoft\u0027s unified analytics platform that combines data integration, data warehousing, and big data analytics, with strong integration with Power BI.\n\n**NoSQL Databases (For flexible data models):**\nWhile often used for unstructured or semi-structured data, some NoSQL databases can serve as data sources for BI, especially when flexibility and scalability are paramount.\n* **MongoDB:** A source-available, cross-platform, document-oriented database that offers flexibility for various data types. 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href=\"https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQEHeQ3XkqX4VU00QTQPbRJA6QTtBcZtw5e0LO5SNbXcmhOP1oqephwv1RHcZR8JFnlHfIZhdOE46bxMaC19QaJs7Pb34JuTrZA-o46zWifMhDY24NQoKtpWf7Gjt4_bpG_hx30h1Qg41CLHxbWjiAz0bWf4ho7kh02dHe40K5_KBXTvpS2B-XyO3i1ITcMxlgs2T8oQ10GLjSaFLooOYDyEEUeWoH5rIAJJ-ZWFseWCkgMe\"\u003ealternatives to MySQL for business intelligence\u003c/a\u003e\n \u003ca class=\"chip\" href=\"https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQEWhsLJdcMnpYN0YfQXQO_NvXdHQH0M98CiazapVPj8w1WX6OOQEqG1s1ZKTAp6qmRoEbN7J_WcZr581qAwPVJAjT3CIGjQvStXM89w4AMaEVZ5gUlHeIgYuXQftfreC6aArMikDs3YFRsByPUr-fzEkqsLXRiiG-3GbyiflFUYcsIy5id1J9PCNRdWYPUgrq3zYIDcIObI0rXb6d6IuYiAA4m7ahv3HyP0C3NoG8j8_LFG\"\u003edatabases compatible with Metabase and Power BI\u003c/a\u003e\n \u003c/div\u003e\n\u003c/div\u003e\n", "sdk_blob": null }, "source_flagging_uris": null, "web_search_queries": [ "alternatives to MySQL for business intelligence", "databases compatible with Metabase and 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