Member-only story
Snowflake vs Redshift Serverless: Is this really the best you got?
After years of using Snowflake, I was “forced” to use Redshift Serverless with proper big data. What did I find?
Introduction
If you happen to follow my blog, you will have noticed how much I write about Snowflake. I have worked with 7 different database technologies in Production throughout my career (should you be curious: SQL Server, Oracle, Redshift, Snowflake, Greenplum, Postgres, MySql), and ever since I did my first Snowflake project, I have been totally surrendered to its quality…
Don’t get me wrong: Snowflake is not perfect. I have found my fair share of bugs (which got fixed in a timely fashion, kudos to them) and had a few annoyances with it, but it really is in a league of its own.
Once upon a time, Redshift was also great, but as technology around it evolved, Redshift did not. The market and technological offering moved to detaching compute from storage, but Aws just doubled down on their old tricks. They paid the price, with a lot of their customers moving to Snowflake (some old clients of mine included).
Expectations
When I heard about Redshift Serverless, I thought “they finally opened their eyes!”…
