[doppelganger1]

Big Query&Data Proc, Redshift&EMR, Synapse&HDR are tied to the cloud vendors. You can’t move easily from AWS stack to GCP without refactoring. Switching costs are higher.

Snowflake and Databricks are multicloud. The different is that Snowflake is more like a SaaS solution and only does SQL. Databricks is more than just SQL. It has all the data science, machine learning information, built into it. Snowflake has Snowpark but it’s every limited and so you are more likely to have to buy more products to build out your capabilities and integrate them with Snowflake. With Databricks it is more out of the box in terms of capabilities. Databricks also runs in your cloud account which has trade offs. It can be harder to get going and more complex but you end up with a lot more flexibility and you own your data and have complete control over it. While Snowflake gives you control of your data with their tools, everything has to go through Snowflake and incur their tax to get to it. You pay for simplicity, which many customers are ok with because they see value in it. On the contrary, a lot of customers see value in having more control and options. This market is big enough for everyone - it’s really just about market share.