FinOps
Learn how to manage and optimize data cloud spend with FinOps strategies for cost visibility, efficiency, and governance.
AI & Automation Trends: The Future of FinOps – AI-Driven Data Cost Optimization
Cloud computing has reshaped how modern enterprises manage, analyze, and scale their data. But as usage grows, so does the complexity of managing cloud costs. Platforms like Snowflake and Databricks deliver powerful data capabilities, yet without clear visibility and control, organizations risk overspending.
Snowflake Warehouse Separation vs. Consolidation: A Practical Guide
When to split Snowflake warehouses for performance isolation and when consolidation is better for costs, attribution & simplicity—rules of thumb inside.
Independent FinOps or Vendor‑Native FinOps: A Practical Guide for Snowflake & Databricks
Vendor‑provided “FinOps” features have one undeniable advantage: convenience. They’re already in the console; procurement is simple; you don’t add another supplier to manage. But these features are shipped by companies whose revenue grows with your consumption—credits, compute, and storage. That…
Why Execution Is the Next Frontier in FinOps | Keebo
FinOps tools solved visibility, but 40 % of teams still struggle to turn insights into savings. Learn why execution‑first FinOps is the next frontier.
Cimpress Saves 15% on Snowflake and Reclaims 3,000+ Engineering Hours with Keebo
Learn how Cimpress, a global leader in mass customization, saved 3k engineering hours & 15% on Snowflake.
Costco Travel Cuts Snowflake Costs in Half with Optimizations from Keebo
Costco Travel offers its members exclusive savings on top-quality vacations, hotels, cruises and rental cars. Learn how they cut their Snowflake costs in half with Keebo.
How Retailers Can Optimize These 5 High-Demand Cloud Data Workloads
Modern retailers require use of large, complex datasets that increase cloud costs & hurt performance. Here’s how to optimize these high-demand workloads.
Snowflake, AI, & Data Infrastructure: 4 Predictions for 2025
Discover key Snowflake trends for 2025, including AI breakthroughs and cost-saving strategies to optimize your data infrastructure and boost efficiency.
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%.
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.
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.
Snowflake Cost Savings: How Do Enterprise Teams Optimize Snowflake Storage and Compute Spend
If you’re looking for ways to reduce your Snowflake costs, you’re in the right place—here are our top six Snowflake cost optimization strategies.