How SurveyMonkey Cut Snowflake Costs Without Adding a Single Engineer
SurveyMonkey is a global leader in survey and experience management, serving millions of users across enterprise, SMB, and consumer segments. As their data infrastructure scaled, so did Snowflake costs – with no real visibility into where credits were going, no feedback loop after changes, and a growing backlog of optimization work that the team never had bandwidth to revisit.
They partnered with Seemore Data to move from reactive, manual Snowflake management to continuous, autonomous optimization. Within 2.5 quarters, the team cut Snowflake costs, eliminated idle compute waste, and reclaimed engineering hours – without adding a single engineer.
28% Savings
in monthly compute spend
15 Minutes
Set up to production
3 Major Automations
Auto-shutdown, SmartPulse, and Auto-clustering
5X
Return on Investment
From Reactive Tuning to Controlled Snowflake Spend
SurveyMonkey is the world’s most popular platform for surveys and forms, built for business—loved by users.
Global company
1,001-5,000 employees
11 Data Engineers
Seemore case studies
Yearly savings
Saved from one query
Data stack integration
Ilanit Rapaport, Director of BI & Analysis
Cost reduction
Run-time reduction
Instantly saved
Hannan Kravitz, Data Engineering Team Leader
a year saved
warehouse cost cut
to save by BI DW downsizing
Dror Yosef, Chief Data Officer
Assaf Bazar, VP Architecture & Data
Seemore resources
