redshift vs spark

redshift vs spark

Spark in general provides a broader set of capabilities than Redshift because it has APIs in general-purpose languages (Java, Scala, Python) and libraries for things like machine learning and graph processing. For example, you might use Spark to do the ETL that will put data into a database such as Redshift, or you might pull data out of Redshift into Spark for machine learning.

 

On the other hand, if *all* you want to do is SQL and you are okay with the set of data formats and features in 

 

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