Can you list alternatives to MySQL for business intelligence?

For business intelligence (BI) with Metabase, several robust database alternatives to MySQL offer various strengths depending on your data volume, complexity, and specific analytical needs. Metabase supports a wide range of databases, making it flexible for different environments. Here are some prominent alternatives: **Relational Databases (often used as all-around workhorses for BI):** * **PostgreSQL:** This open-source object-relational database is known for its reliability, extensive features, and strong support for complex queries and data types, including JSON. It's often chosen for applications requiring ACID compliance and data integrity, and it can scale for analytical use cases. * **MariaDB:** An open-source fork of MySQL, MariaDB offers similar functionality with enhancements for modern database needs, including support for multiple storage engines and features for analytical use cases. It's a strong choice for those who value transparency and performance. * **Microsoft SQL Server:** A well-established relational database management system, SQL Server offers industry-leading performance, security features, and built-in AI capabilities. It's suitable for various applications, including mobile BI. * **Oracle Database:** As a leading converged, multi-model database, Oracle offers high-performance and cost-optimized options, including in-memory and NoSQL capabilities. The Oracle Autonomous Database simplifies management and provides high levels of performance and scalability. * **SQLite:** A self-contained, serverless, and zero-configuration SQL database engine that is a good option for simpler, embedded applications or small-scale BI. **Data Warehouses (optimized for large-scale analytical queries):** These are particularly well-suited when dealing with millions or billions of records, as they are powered by parallel processing engines. * **Amazon Redshift:** A fully-managed, petabyte-scale data warehouse service provided by AWS. * **Google BigQuery:** A fully-managed, serverless data warehouse renowned for its scalability and ability to process massive datasets quickly using standard SQL queries. * **Snowflake:** A cloud-native data warehouse that offers performance, scalability, and flexibility. * **ClickHouse:** An open-source, column-oriented analytical database management system known for its speed with large datasets. * **Databricks:** A unified analytics platform built on Apache Spark. * **Vertica:** A high-performance analytical database. * **Teradata VantageCloud:** A cloud-based database and analytics solution designed for large-scale enterprise data management, supporting both structured and semi-structured data. **NoSQL Databases (for flexible data models and scalability):** * **MongoDB:** A general-purpose, document-based, distributed database designed for modern applications and the cloud era. It offers a flexible document data model and is highly scalable. Metabase also supports other databases like Druid, Presto, SparkSQL, and Starburst, along with community connectors for systems like Apache Pinot and Dremio.

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Metabase supports a wide range of databases, making it flexible for different environments.\n\nHere are some prominent alternatives:\n\n**Relational Databases (often used as all-around workhorses for BI):**\n* **PostgreSQL:** This open-source object-relational database is known for its reliability, extensive features, and strong support for complex queries and data types, including JSON. It\u0027s often chosen for applications requiring ACID compliance and data integrity, and it can scale for analytical use cases.\n* **MariaDB:** An open-source fork of MySQL, MariaDB offers similar functionality with enhancements for modern database needs, including support for multiple storage engines and features for analytical use cases. It\u0027s a strong choice for those who value transparency and performance.\n* **Microsoft SQL Server:** A well-established relational database management system, SQL Server offers industry-leading performance, security features, and built-in AI capabilities. It\u0027s suitable for various applications, including mobile BI.\n* **Oracle Database:** As a leading converged, multi-model database, Oracle offers high-performance and cost-optimized options, including in-memory and NoSQL capabilities. 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{ "input": { "contents": "You are answering a user query. Be concise but helpful.\nIf you mention products or brands, be specific.\nDo not invent facts. If unsure, say you are unsure.\n\nBrand under analysis: Metabase\nBrand website: https://metabase.com\n\nUser query: Can you list alternatives to MySQL for business intelligence?", "model": "gemini-2.5-flash" }, "model": "gemini-2.5-flash", "provider": "gemini" }

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