Reducing Snowflake Costs

Keebo | Chalice AI Increases Snowflake Compute by 21% for the Same Spend

Chalice AI Increases Snowflake Compute by 21% for the Same Spend

Chalice AI helps clients optimize their  programmatic advertising campaigns around specific goals & targets (i.e. store sales, customer acquisition cost) through artificial intelligence and machine learning. These efforts require extensive data and compute resources. As Chalice AI grew, their Snowflake costs began to balloon. By implementing Keebo’s AI-powered warehouse optimizations, Chalice AI consumed 15,000 fewer Snowflake credits than previously and cut overall spend by 21%.
Keebo | Allbirds Reduces Snowflake Spend by 19% with No Dip in Performance

Allbirds Reduces Snowflake Spend by 19% with No Dip in Performance

Allbirds leverages Snowflake to store and utilize data from diverse sources, including their online Shopify ecommerce store, marketing data, and supply chain data. Data operations are managed by a relatively small team. To better allocate resources, Allbirds deployed Keebo’s AI-powered warehouse optimization solution, reducing spend by 19% and enabling a rightsizing provisioning of their Capacity credits to better match Snowflake usage patterns.
Keebo | Caring.com Cuts Snowflake Costs and Boosts Query Performance with Keebo

Caring.com Cuts Snowflake Costs and Boosts Query Performance with Keebo

Caring.com, a leading online resource for caregivers, relies on data-driven decision-making to enhance user experience. Faced with increasing data volume and complex analytics needs, Tom Abraham, Manager of Data and Analytics, saw the need to optimize their Snowflake environment. Due to spiky data usage patterns—from heavy query days during reporting periods to lighter activity—manually adjusting warehouse sizes was inefficient, risking resource waste or performance issues.