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Wild Alaskan Company Cuts Snowflake Costs by 48% with Yuki, as Yuki Launches Model‑Level Warehouse Optimization for dbt at Coalesce 2025

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LAS VEGAS, Oct. 12, 2025 (GLOBE NEWSWIRE) — As Wild Alaskan scaled its knowledge platform, Snowflake costs turned unpredictable and required fixed handbook intervention. With Yuki, the corporate lowered computing waste, stabilized search efficiency, and achieved predictable budgets in lower than a month.

“Yuki gave us speedy perception into prices and optimization, with out engineers having to step away from product work,” mentioned Crystal Lee, VP Knowledge Science & Analytics at Wild Alaskan Firm. “We now have a leaner, sooner knowledge platform that scales with progress.”

Snowflake cost optimization

New dbt-native warehouse optimization at mannequin degree throughout Coalesce 2025

Yuki will make his debut throughout Coalesce dbt-native integrationdesigned to provide analytics engineers speedy perception into price and efficiency on the mannequin degree. This implies:

  • View the prices per mannequin — view runtime, price and execution timeline for every dbt mannequin.
  • Coordinate journal sizes per mannequin – scale computing energy up or down per mannequin or job execution kind.
  • Observe the influence over time — see who modified what, when, and what the associated fee/runtime deltas had been.
  • Use a analysis, optimize and confirm loop — uncover anomalies, alter fashions, validate outcomes.

“DBT has develop into the spine of recent analytics engineering,” mentioned Amir Peres, CTO of Yuki. “With our new dbt-native Mannequin-Degree Warehouse optimization, groups can lastly join efficiency and price, making FinOps a part of the analytics workflow and never an afterthought.”

Availability and entry

This function is now dwell for all Yuki prospects. Customers can entry the ‘dbt’ tab in Yuki’s interface to view execution summaries, mannequin timelines, change histories, and provoke warehouse measurement changes per mannequin. For extra info go to: https://yukidata.com/blog/dbt-model-level-optimization/

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Case examine within the highlight at Coalesce

Yuki will current the Wild Alaskan Firm case study throughout Coalesce 2025, sharing how prospects save +40% of Snowflake computing energy on common with none technical effort. Guests can see a dwell demo of each dbt integration and Yuki’s dynamic warehouse optimization platform and acquire entry to Yuki’s newest dbt repository.

About Yuki

Yuki is the real-time optimization platform for Snowflake. Corporations use Yuki to scale back their knowledge prices by mechanically sizing warehouses, consolidating searches and predicting spend. With one-hour onboarding and enterprise-level governance, Yuki delivers predictable prices with out disrupting efficiency or engineering groups.
For extra info go to https://yukidata.com/

Contact
Perry Tapiero
Public Relations
perry@yukidata.com

A photograph accompanying this announcement is on the market at:
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