Amazon Redshift Spectrum vs AWS Glue: What are the differences?
Developers describe Amazon Redshift Spectrum as "Exabyte-Scale In-Place Queries of S3 Data". With Redshift Spectrum, you can extend the analytic power of Amazon Redshift beyond data stored on local disks in your data warehouse to query vast amounts of unstructured data in your Amazon S3 “data lake” -- without having to load or transform any data. On the other hand, AWS Glue is detailed as "Fully managed extract, transform, and load (ETL) service". A fully managed extract, transform, and load (ETL) service that makes it easy for customers to prepare and load their data for analytics.
Amazon Redshift Spectrum and AWS Glue can be primarily classified as "Big Data" tools.
According to the StackShare community, AWS Glue has a broader approval, being mentioned in 13 company stacks & 7 developers stacks; compared to Amazon Redshift Spectrum, which is listed in 5 company stacks and 4 developer stacks.