Amazon QuickSight – Data Sources

Amazon QuickSight supports a wide range of data sources, including the following:

Amazon S3: Amazon Simple Storage Service (S3) is a scalable, high-performance object storage service. You can use S3 as a data source for QuickSight to store and analyze data in the cloud.

Amazon RDS: Amazon Relational Database Service (RDS) is a managed database service that makes it easy to set up, operate, and scale a relational database in the cloud. QuickSight supports a number of database engines, including MySQL, Oracle, and PostgreSQL.

Amazon Redshift: Amazon Redshift is a fully managed, petabyte-scale data warehouse service. You can use Redshift as a data source for QuickSight to store and analyze large datasets.

Spark on Amazon EMR: Amazon Elastic MapReduce (EMR) is a cloud-based data processing service that makes it easy to set up, operate, and scale Apache Spark clusters. You can use Spark on Amazon EMR as a data source for QuickSight to analyze big data in real-time.

Amazon Athena: Amazon Athena is a serverless query service that allows you to analyze data in Amazon S3 using SQL. You can use Athena as a data source for QuickSight to analyze data stored in S3.

Other data sources: QuickSight also supports a number of other data sources, including CSV and Excel files, Google Sheets, and SQL Server.