Amazon Redshift Spectrum vs Singer: 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, Singer is detailed as "Simple, Composable, Open Source ETL". Singer powers data extraction and consolidation for all of your organization’s tools: advertising platforms, web analytics, payment processors, email service providers, marketing automation, databases, and more.
Amazon Redshift Spectrum and Singer belong to "Big Data Tools" category of the tech stack.
Singer is an open source tool with 178 GitHub stars and 40 GitHub forks. Here's a link to Singer's open source repository on GitHub.