Snowflake Savings Estimate Instructions

Using workload metadata, we simulate your environment and produce an estimate of how much we can save you. The estimate looks like this:

How do I get an estimate?

We need a few things to generate the estimate: query metadata, warehouse metadata, and Snowflake usage metadata. For a full list of what we need, see this page.

The fastest way to share those is to set up a Snowflake account for Espresso.

If you'd prefer to share your metadata without setting up an account, you can also use a Snowflake Python worksheet. Log into the Espresso AI dashboard with your work email to generate a command you can run. This creates a secure upload token tied to your email address.

How do I know the savings are accurate?

Our models are continuously calibrated with production Snowflake data to ensure our savings numbers are accurate.

The best way for you to judge accuracy is to compare our upfront savings estimate to the savings you see in production when we first turn on.

We also encourage users to run A/B tests once we've been on for a few months: shut Espresso off for a week and see how your actual spend compares to our savings calculation.

NDA and support

Espresso AI is happy to sign an NDA. Contact [e-mail] with your NDA or any questions.