What's Hiding in
Your Snowflake Spend?
Snowflake is the fastest-growing cost line in data, and most teams are running it with out-of-the-box features and no real cost controls. Watch PointFive for a live look at what's buried in your Snowflake bill and how to turn findings into verified savings.
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Featuring
Melissa Frojmovics
Product Marketing Manager
PointFive
Ariel Lichterman
Data Platforms Research Lead
PointFive
What We'll Cover
From Cost Overview to Verified Savings
A practitioner session for data, FinOps, and engineering leaders who own, or get pulled into, Snowflake cost conversations.
Why Snowflake Costs Scale Faster Than Governance
The fastest-growing cost line in data, with out-of-the-box features but no built-in cost controls. More teams, more workloads, no clear ownership, and engineers pulled into cost conversations without the tools to respond.
What Your Dashboard Shows vs. What's Actually There
Current tools miss what's driving your costs. Across dozens of environments we've analyzed, 34% of compute spend is idle time, and your dashboard isn't showing you where.
A Sample of the Inefficiencies We Detect
Inefficient clustering activity, unused tables, idle warehouse spend, costly ingestion patterns, at the warehouse, table, query, and pipeline level.
Live Demo: PointFive in Action
Agentless, read-only visibility across Snowflake and your cloud. Every finding tied to ownership, cost impact, and context, with suggested fixes ready for Jira, Slack, or ServiceNow.
Drive Engineering Action and Verify the Savings
1-click remediation from your IDE, agentic fixes for low-risk changes, and savings tracked against actual billing. 500+ inefficiencies covered by PointFive Labs, with new detections every week.
What's Next + Q&A
Where to meet us next: Snowflake Summit (San Francisco, June 1–4) and FinOps X (San Diego, June 8–11), plus open Q&A. Bring your hardest Snowflake cost question.
Who Should Attend
Data Platform Leaders
Owners of the Snowflake bill and the roadmap behind it
FinOps Teams
Driving accountability across data and cloud spend
Data Engineering
Building pipelines and queries against Snowflake at scale
Analytics Engineering
Shipping models, transforms, and dashboards on Snowflake