Angel Studios Cut Snowflake Costs by 60% and Freed Up Teams to Focus on Creating Great Content

By Ido Arieli Noga
August 17, 2025 | 5 min read

Angel Studios, the innovative media company behind community-driven, faith-based hits like The Chosen, empowers creators through crowdfunding to bring family-friendly stories to life. But as their audience grew, so did the data driving their platform and the Snowflake costs that came with it.

With content engagement spiking, engineering teams faced unpredictable workloads and rising compute bills that threatened to slow growth.

They turned to Yuki.

The Challenge

As Angel Studios’ success brought more viewers, their Snowflake usage ballooned. Three key issues emerged:

  • Inefficient Scaling: Performance issues during peak loads forced engineers to increase warehouse sizes, creating operational headaches.
  • Cost Escalation: Larger warehouses led to runaway Snowflake spend, straining budgets and risking funding for new content initiatives.
  • Administrative Overload: Managing warehouse distribution consumed engineering time better spent on building new features and improving user experience.

The Solution

Angel Studios integrated Yuki in under an hour by updating a single connection string — no code changes, no disruptions.

Once live, Yuki’s real-time load balancer automatically matched each query to the optimal warehouse, maximizing utilization while maintaining high performance. By offloading small queries to separate XS compute, Yuki prevented oversized warehouses from sitting idle and burning credits.

Immediate results included:

  • Smooth Implementation: Fully up and running in under 60 minutes.
  • Workload Consolidation: 100% warehouse utilization achieved with real-time query distribution.
  • Instant Savings: Daily Snowflake costs dropped from ~150 to ~60 credits within days.

The Results

In just days, Angel Studios saw:

  • 60% reduction in Snowflake spend
  • Enterprise-grade load balancing
  • Zero engineering effort required

“We cut our Snowflake costs by ~60% and got enterprise-grade load balancing features. Yuki’s automation ensures optimal query distribution across warehouses, maintaining performance while reducing costs.”

– Alex Ahlstrom, Snowflake Lead at Angel Studios

Yuki for Media & Entertainment

For fast-scaling studios like Angel, every dollar saved on cloud spend goes back into content creation. Yuki’s automation eliminated manual optimization work while reducing costs dramatically, allowing Angel’s team to stay focused on what matters: delivering inspiring stories to millions.

The integration took under an hour. The impact showed up in days.

Get the Full Story

Angel’s experience proves that even disciplined Snowflake teams can unlock massive savings with Yuki. Discover how your team can achieve the same. Download the full Angel Studios Case Study

Want to See Similar Results?

Yuki offers a free cost evaluation to show how much you could save on Snowflake. No implementation required. Request your evaluation now.

By Ido Arieli Noga
Ido Arieli Noga is the CEO and Co-Founder of Yuki, where he helps businesses cut Snowflake spend through smart warehouse scaling and DevOps-driven optimization. He brings over 12 years of experience across data storage, BI, and FinOps, including nearly four years as Head of Data at Lightico and five years managing large-scale virtual environments in the government sector. Ido holds a degree in Computer Science and is passionate about building scalable, cost-efficient data infrastructures. Since founding Yuki in 2023, he’s focused on helping teams reduce costs without changing queries or code. Find more of his insights on Medium or LinkedIn.

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