[bpodgursky]

Snowflake is wildly better than Redshift, no matter how you want to look at it -- integrations, cost, performance, etc.

Like, in a sane world I agree with you -- Redshift SHOULD have a crazy competitive advantage. But somehow they've been unable to execute on that goal for half a decade, and I don't see that changing quickly, given Snowflake's mindshare and growth.

[dataminded]

I agree with you.

Snowflake is better. Redshift has been really slow to execute. AWS is doing the world's worst job of articulating whatever vision they have for analytics. AWS's message is laser-focused on infrastructure folks and machine learning engineers (not analyst, data scientist, not absolutely anything else).

The higher you go up the stack, the slower and less meaningful, AWS's solutions feel. There is a fantastic job opportunity out there for someone to reconcile AWS's data analytics offerings. They have so much upside.

I'm still not betting on Snowflake winning a direct competition with their primary supplier. For the enterprise and the highly regulated: Redshift is good enough, already there, and they don't NEED the efficiencies that Snowflake makes available.

[1290cc]

Redshift is an onpremise piece of software that was converted into a cloud platform (acquired by AWS). Snowflake was built from day 1 as a cloud platform with awesome big data frameworks as its internal architecture. Its very hard for Redshift to rearchitect itself in the way Snowflake was designed from the start because they need to continue supporting existing instances and create an entirely new product.