DoubleVerify: Achieving Effortless Snowflake Optimization with Zero Engineering Overhead
DoubleVerify, a leading software platform for digital media measurement and analytics, processing tens of billions of daily transactions, faced the challenge of managing complex data modeling while maintaining a lean, cost-efficient BI operation.
By working with Seemore Data, the team implemented AI-powered Snowflake optimization that delivered immediate savings, eliminated engineering overhead, and provided confidence in cost control-all within a few minutes setup.
27% Cost reduction
within less than three months
Proactive cost control
enabling continued lean team structure
Automatic adaptation
features without manual updates
Zero ongoing engineering resources
required for monitoring and optimization
Challenges solved for DoubleVerify
arket leader in online verification, protecting the digital advertising ecosystem by ensuring media buyers get quality inventory and detecting fraud across social, programmatic, and other channels.
Global operations with headquarters in Israel
1,500+ employees
9-person BI team structured into pipeline engineering, data modeling & engineering, data enablement academy, and support & proactive analysis functions
DoubleVerify faced the ongoing challenge of maintaining cost efficiency while keeping the team “lean and mean”. The complexity wasn’t in data volume but in the intricate data modeling required to stitch together DoubleVerify’s flexible, multi-scenario advertising ecosystem. DoubleVerify needed a solution that would provide automated savings, continuous cost control and performance visibility without engineering investment, allowing them to focus on delivering business value rather than infrastructure maintenance.
DoubleVerify implemented Seemore Data’s AI-powered Snowflake optimization platform, achieving full deployment in minutes.
Seemore became an always-on optimization partner, automatically monitoring Snowflake usage, flagging inefficiencies, providing actionable recommendations, and adapting to new Snowflake features (like next-generation warehouses) without requiring any updates from the DoubleVerify team.
The solution eliminated the need for internal development, ongoing monitoring resources, and manual optimization work-delivering continuous cost savings and performance insights with zero engineering overhead.
Seemore’s evolved automatically with Snowflake’s new features (like next-generation warehouses), ensuring DoubleVerify always had cutting-edge optimization without any engineering effort.
Recent implementations include:
- Auto-shutdown for idle warehouses
- Smart Burst for dynamic warehouse sizing
- Anomaly detection for cost spikes
- Support for Snowflake’s latest warehouse generations
Beyond direct savings, Seemore provided the confidence that cost control was continuously managed-critical for maintaining a lean team structure. The UI provides clear visibility into spend patterns, and the system evolves with Snowflake’s roadmap automatically.
Unlike typical enterprise software that requires lengthy POCs, extensive questionnaires, and weeks of integration work, Seemore delivered value immediately. A 20 minutes setup meeting was all it took to connect to Snowflake and begin generating insights-no installations, no new infrastructure, no lengthy onboarding.
The solution required no dedicated resources for monitoring, analysis, or implementation. Seemore’s AI continuously tracks Snowflake usage patterns, identifies optimization opportunities, and provides clear recommendations – eliminating the need to build internal dashboards or assign team members to cost management.
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
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