> For the complete documentation index, see [llms.txt](https://docs.espresso.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.espresso.ai/databricks-optimizer/databricks-savings-estimate.md).

# Databricks Savings Estimate

### What is a Savings Estimate? <a href="#what-is-a-savings-estimate" id="what-is-a-savings-estimate"></a>

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

<figure><img src="/files/N76epcDdjaUoKWWliDtR" alt=""><figcaption></figcaption></figure>

### How do I know the savings are accurate? <a href="#how-do-i-know-the-savings-are-accurate" id="how-do-i-know-the-savings-are-accurate"></a>

Our models are continuously calibrated with production Databricks 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.

## How do I get an estimate?

We need a few things to generate the estimate: query metadata, warehouse metadata, and Databricks usage metadata.

The fastest way to share those is to [set up a Databricks service principal for Espresso](https://docs.espresso.ai/~/revisions/WipBY1leQllUvtR0ovja/databricks-optimizer/databricks-sql-onboarding-1).

If you'd prefer to share your metadata without setting up an account, you can also [securely share metadata](https://docs.espresso.ai/~/revisions/WipBY1leQllUvtR0ovja/databricks-optimizer/databricks-sql-onboarding) with our Databricks account via OpenSharing (previously Delta Sharing).

## NDA and support

Espresso AI is happy to sign an NDA. Contact [savings@espresso.ai](mailto:savings@espress.ai) with your NDA or any questions.


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