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Snowflake Joins the FinOps Foundation
Snowflake joins The FinOps Foundation as a Premier Enterprise Member to share expertise and set industry financial best practices.
Cost management and performance optimization
Finops on Snowflake
Time is money — save both with Snowflake.
A self-optimizing engine for modern analytics
Run faster queries automatically — no rewrites, no retuning
Gain better performance across every workload with Snowflake’s ongoing platform enhancements.
Trust Snowflake Optima to analyze workload patterns and automatically tune execution without added configuration or maintenance.
Reduce input/output (I/O), latency and bottlenecks thanks to smarter pruning, joins, scans and execution across analytical workloads.
Snowflake performance improvements based on core analytics workloads on 2XL warehouse, measured as of February 2025, using Standard Warehouse and February 2026, using Gen2.
Go from piecemeal dashboards to built-in cost and performance management
Get granular visibility, control and optimization of Snowflake spend through a unified Cost Management Interface.
Check query performance easily to proactively save on costs.
- Automatically benefit from regular rollouts of performance improvements across all workloads.
Control your Snowflake spend using budgets
- Forecast confidently by proactively setting monthly spend thresholds across every workload, AI included.
Act before overages occur with alerts that notify you when actual or projected thresholds are met.
Protect your budget with automated guardrails that kick in when you meet thresholds.
Catch unusual spend with anomaly detection
- Stay ahead of cost surprises by surfacing when daily consumption drifts above or below your expected range.
- Move from “what happened?” to “here’s why” in seconds, using Snowflake CoCo to investigate anomalies and provide clear root-cause explanations.
Our Customers
Saving time on platform admin. Getting to market faster.
“Now, we aren’t so focused on how to build things. We are focused more on what to build.”
Dan Shah
Data Architect, Travelpass
- 1 Week for 130 Dynamic Tables to be in production after migration
- 65% Cost savings switching from Databricks to Snowflake
“Now with fewer ephemeral failures and higher visibility in Snowflake, we have a platform that’s much easier and cost-effective to operate than managed Spark.”
David Trumbell
Head of Data Engineering, CTC
- $800K Saved annually by eliminating data movement out of Snowflake and back
- 54% Cost savings switching from managed Spark to Snowflake
“The speed at which we’ve delivered wouldn’t have been possible with other providers.”
Kaushik Ghosh Dastidar
Head of ESG Cloud Solutions, NatWest
- 6x Reduction in onboarding time from 3 months to 2 weeks
- $750K Saved in salaries & staff training costs
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