Stas: "The issue is that majority of the companies don't experience a 70% revenue growth to catch up with the growth in costs"

I think you are misunderstanding something very fundamental here. Snowflake has usage pricing and no one is forcing companies to use Snowflake 70% more every year. In my experience, companies are typically evaluating spend on other platforms and after some testing, moving additional workloads there to displace cost elsewhere. Let's say your Snowflake bill was $100k and you were unhappy with your your security data lake provider and replace a $1M bill there with $200k of Snowflake. Your Snowflake bill has now increased 200% to $300k, but you are still $800k ahead overall. In other words, your existing workload (the original $100k) didn't get more expensive.

I've worked in data warehousing for a lot of years now and stepping back, I guess I don't understand what you are trying to accomplish here. I certainly think everyone should take a "trust but verify" approach with their vendors but honestly, I don't think you proven your case, especially since you appear to complete ignore the competitive reality these vendors live in. Beyond that, I don't think "speeds and feeds" are the most important improvements going on with these platforms at the moment. Check the monthly release notes:

BigQuery: https://cloud.google.com/bigquery/docs/release-notes Databricks: https://docs.databricks.com/release-notes/product/index.html Snowflake: https://docs.snowflake.com/en/release-notes.html

Performance is important but it doesn't exist in a vacuum. What percentage of features in the past two months for each of these platforms relate to performance? On the flip side, how much does your company spend on things like data governance? How much would a data breach cost? How many people maintain the platform? What do pipeline failures cost? How is connectivity to other solutions your company uses?

If you look at where innovation is happening (and this is a VERY interesting space these days), the bulk of improvements are in areas arguably more important to companies. BigQuery has added migration improvements, Databricks has added Photon and Unity Catalog improvements, Snowflake has added Java and Python stored procedures. The list is miles long for all of these vendors and I challenge anyone in the space to keep up with everything.

Another comment here said all of these vendors are within 10-20% performance of each other. If that is true, in my opinion you're focused on a problem that is an edge case at best. Something to watch, but not nearly as interesting or as impactful as the rapid pace of innovation across this space in all areas. IMHO.

user:	evtx
created:	August 22, 2022
karma:	7