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Cost will definitely be a factor but if it's not then I'd suggest Redshift because of the simplicity. Another aspect is how the data will be consumed - Analysts
by rahulj51 6y ago
Cost will definitely be a factor but if it's not then I'd suggest Redshift because of the simplicity. Another aspect is how the data will be consumed - Analysts are typically more comfortable using SQL + Redshift. I'd avoid Spark except for very specific use cases as the operational toil is higher with Spark.
- dancrystalbeach 6y agothe consumption is very SQLish based. "operational toil is higher with Spark" <- I agree with this, this is why I'm leaning towards Redshift. Throwing away half the codebase in favor of some SQL statements is tempting.