Our Pricing

We first run a savings estimate using your Snowflake metadata. Instructions to share that are here.

We first run a savings estimate using your Snowflake metadata. We use 2 weeks of your Snowflake metadata to play back your usage query-by-query in simulation. We then apply our agents to these queries in the simulation environment and determine the savings we would have achieved had we run on this workload. The result is something like this:

Our simulator replicates your Snowflake environment to get a precise real-time view of current usage versus usage with Espresso AI. The easiest way to compare is to look at the before-and-after spend in the first few weeks. You can also compare our savings to your internal predictions.

On-demand customers pay Snowflake every month, which means your Snowflake credit savings translate directly into dollar savings every single month.

Snowflake’s annual pricing, also known as capacity pricing, requires an upfront cash commitment and provides a discounted rate on Snowflake credits. Our optimizations will save you Snowflake credits, which will translate to cash savings when you renew your contract and can result in rolled-over credits reducing the amount you need to commit on your next contract. We have financing options available for customers at the beginning of a long-term Snowflake contract commitment.

Our savings estimate is based on a detailed, query-by-query simulation of your workload. If you make optimizations on your end, we’ll see it in your query log because you’ll either be running fewer queries or more efficient queries, and our savings estimate will account for that.

_{We can provide weekly cost-summaries attributed to the warehouse you sent your query, not the one it was routed to, for accounting and cost attribution purposes.}

We offer a money-back guarantee period so you can see savings in production before committing to anything.