Which data warehouse connector is supported natively by the Analytics Engine?

The Analytics Engine supports Amazon Redshift natively as a data warehouse connector, allowing seamless integration and efficient data retrieval for analytics purposes. This native support means that the engine can directly communicate with Amazon Redshift, utilizing its capabilities for data storage and processing without the need for additional configurations or third-party tools.

By being natively supported, users can take advantage of optimized performance and built-in functionalities that enhance their analytical workflows when working with data stored in Amazon Redshift. The ability to connect directly ensures that tasks such as querying, data manipulation, and analytical processing are carried out smoothly and effectively, making it a preferred choice for users who rely on cloud-based data warehousing solutions.

Other options like MySQL, PostgreSQL, and SQL Server may require additional configurations or connectors, which could complicate the setup process. They might not offer the same level of integration or optimization found with Amazon Redshift, thereby making it less desirable as a primary connector for analytics tasks within the Analytics Engine.