Amazon Redshift vs Amazon Redshift Spectrum: What are the differences?
Developers describe Amazon Redshift as "Fast, fully managed, petabyte-scale data warehouse service". Redshift makes it simple and cost-effective to efficiently analyze all your data using your existing business intelligence tools. It is optimized for datasets ranging from a few hundred gigabytes to a petabyte or more and costs less than $1,000 per terabyte per year, a tenth the cost of most traditional data warehousing solutions. On the other hand, Amazon Redshift Spectrum is detailed 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.
Amazon Redshift can be classified as a tool in the "Big Data as a Service" category, while Amazon Redshift Spectrum is grouped under "Big Data Tools".
Lyft, Coursera, and 9GAG are some of the popular companies that use Amazon Redshift, whereas Amazon Redshift Spectrum is used by VSCO, CommonBond, and intermix.io. Amazon Redshift has a broader approval, being mentioned in 270 company stacks & 68 developers stacks; compared to Amazon Redshift Spectrum, which is listed in 5 company stacks and 4 developer stacks.
What is Amazon Redshift?
What is Amazon Redshift Spectrum?
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