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I am studying first time about Amazon Web Services. I want to know what is the difference or relation between Amazon s3 and Amazon Redshift.
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Amazon Redshift is a data warehouse, while Amazon S3 is object storage. While some businesses may use one over the other, the question of Redshift vs. S3 is not an either/or situation. Many will choose to use both of them at once.
As the cloud data warehouse in AWS, Amazon Redshift provides seamless integration with other storages, such as Amazon S3. It enables a very cost-effective data warehouse solution, where the user can keep warm data in Amazon Redshift storage and cold data in S3 storage.
Amazon Redshift doesn't support tables with column-level privileges for cross-database queries. Amazon Redshift doesn't support concurrency scaling for the queries that read data from other databases. Amazon Redshift doesn't support query catalog objects on AWS Glue or federated databases.
Key data lake-enabling features of Amazon S3 include the following: Decoupling of storage from compute and data processing – In traditional Hadoop and data warehouse solutions, storage and compute are tightly coupled, making it difficult to optimize costs and data processing workflows.
Amazon S3 is storage service.Amazon S3 a simple web services interface to store and retrieve any amount of data from anywhere on the web. With Amazon S3, you pay only for the storage you actually use.
Amazon Redshift is a fast, fully managed, petabyte-scale data warehouse.
Amazon Redshift gives you fast querying capabilities over structured data using familiar SQL-based clients and business intelligence (BI) tools using standard ODBC and JDBC connections. Queries are distributed and parallelized across multiple physical resources.
The relationship between Redshift and S3 is that data can be pumped into your warehouse from s3. More instructions can be found here.
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