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Save up to 70% on Snowflake
with AI
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Espresso Al literally cut our Snowflake bill in half. Setup was easy and straightforward, and there's zero maintenance. This is a no-brainer if you're stressed about your Snowflake costs.
It's been a pleasure working with Espresso AI! Thanks to their efficient AI solution, we were able to cut our Snowflake costs by 50%. Their platform is straightforward to set up and requires zero maintenance. If you're looking to rein in your data warehousing expenses, I highly recommend giving Espresso AI a try.
Our Snowflake bill went down by 55% since we started working with Espresso AI. I highly recommend talking to them if you want to bring down your data warehousing bill.
Espresso AI uses ML to optimize every aspect of your Snowflake costs.
10-minute set-up
Our push-button integration means you can set up our ML warehouse agent with one SQL command - faster than reading this page. Once it’s set up, your pricing drops automatically.
Fully Automated Cost Optimization
Our agents run automatically in the background of your Snowflake account to optimize your data warehouses in real-time. It’s like having a team of superhuman DBAs monitoring and optimizing your Snowflake spending 24/7.
Guaranteed ROI
Our price is proportionate to how much we save you. No onboarding costs, no minimums. If you don’t save money, we won’t charge you anything.
Three Agents to Optimize Your Snowflake Service
Autoscaling agent
How big should my warehouse be? How should it scale? Are we using the correct settings? Predictive warehouse scaling solves all this and more.
Our agent sits in your Snowflake environment and learns to predict and optimize your Snowflake workload patterns and tune usage of your clusters in real-time for each unique workload.
This turns your configuration from static to dynamic, reducing the idle time of your Snowflake resources and dramatically cutting costs and cost anomalies.
SQL Optimization agent
We use large language models, backed by formal verification, to automatically rewrite your SQL queries for performance.
Espresso AI automatically analyzes and optimizes each query you and your tools send to Snowflake to make them performant and cost-efficient. This is an example from Tableau: our optimized query is twice as fast.
Scheduling agent
The warehouse utilization rate of a typical Snowflake customer is between 40 and 60%. That means that half the annual fee that Snowflake charges you is going toward warehouses doing literally nothing.
We developed an agent to re-route queries to underutilized warehouses, consolidating your fleet in real-time. This is the same technology that Google uses to manage fleetwide performance and optimize costs.
Discover your Savings
What would your Snowflake bill look like with Espresso?
Our AI can tell you.
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Frequently Asked Questions
Your Snowflake spend is almost definitely too high. You can ignore it, but the costs of these workloads often grows exponentially over time.
To reduce costs, your data engineering teams might already be:
1) Spending countless engineering hours on cost optimization efforts
2) Getting lost in Snowflake documentation
3) Paying consultants for brilliant cost insights like “ask your team what they’re spending money on and then tell them to stop”
4) Migrating out of Snowflake to try and find a more cost-effective choice.
Espresso AI is the only option for automated, instant, and real-time optimizations.
We first run a savings estimate using your Snowflake metadata. Instructions to share that are here.
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 with usage-based pricing models, 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 can share our SOC 2 and Pentest. We do not have a public-facing API, our dashboards are read-only and we only access metadata. We usually begin with an MNDA before we run an estimate.
We offer a money-back guarantee period so you can see savings in production before committing to anything.
Backed by Top Investors
AI Grant
AI Grant
CEO & Founder, dbt Labs