Amazon Redshift is a fully-managed cloud-based data warehouse product that you can use for large-scale data set storage and analysis. You can also use Redshift to perform large-scale database migrations.

Difficulty can vary based on your data structure, data cleanliness and required destinations. Many users choose to simplify implementation by sending warehouse data through secure AWS warehouse data source integration tools like RudderStack.

Pricing for Amazon Redshift Source (RDS) can vary depending on your use case and data volume. RudderStack offers transparent, volume-based event pricing. See RudderStack's pricing.

Amazon Redshift source is a AWS warehouse data source that enables developers to send data from their Data Warehouse.

Yes, Amazon Redshift is a Relational Database Management System (RDBMS) and is compatible with other RDBMS applications.

Amazon RDS is a relational database used for primary data, running software like SQL, MySQL, Aurora, MariaDB, Oracle, and PostgreSQL. On the contrary, Redshift is designed for crunching big data queries against large datasets.

Amazon Redshift is useful for quickly querying large amounts of data. Instead of running taxing queries against your application database or read replica, you can run fast queries by setting up a dedicated BI database for running such queries.