- Today
- Holidays
- Birthdays
- Reminders
- Cities
- Atlanta
- Austin
- Baltimore
- Berwyn
- Beverly Hills
- Birmingham
- Boston
- Brooklyn
- Buffalo
- Charlotte
- Chicago
- Cincinnati
- Cleveland
- Columbus
- Dallas
- Denver
- Detroit
- Fort Worth
- Houston
- Indianapolis
- Knoxville
- Las Vegas
- Los Angeles
- Louisville
- Madison
- Memphis
- Miami
- Milwaukee
- Minneapolis
- Nashville
- New Orleans
- New York
- Omaha
- Orlando
- Philadelphia
- Phoenix
- Pittsburgh
- Portland
- Raleigh
- Richmond
- Rutherford
- Sacramento
- Salt Lake City
- San Antonio
- San Diego
- San Francisco
- San Jose
- Seattle
- Tampa
- Tucson
- Washington
Yuki Brings Real-Time Cost Optimization to BigQuery
Yuki Launches BigQuery Cost Optimization Platform, Eliminating 3-Year Commitments While Cutting BigQuery Spend by Up to 60%
Apr. 1, 2026 at 9:26pm
Got story updates? Submit your updates here. ›
Yuki, the real-time data cost optimization platform, has announced full support for Google BigQuery. With this launch, BigQuery customers can reduce compute by up to 60% while avoiding the most frustrating tradeoff in the platform: committing to multi-year reservations just to access meaningful savings.
Why it matters
For years, the BigQuery cost optimization playbook has forced teams into a corner, requiring them to commit to reservations for up to three years in order to reduce spend. Yuki changes this model by continuously analyzing every BigQuery job in real time and routing it to the cheapest compute option for that specific execution, across on-demand and reservations, without the need for manual effort or long-term commitments.
The details
Yuki adds an autonomous optimization layer for BigQuery that routes every job to the most efficient compute option in real time, without code changes, manual tuning, or long-term reservation lock-in. This allows BigQuery customers to reduce compute costs by up to 60% while maintaining performance and avoiding the need for ongoing maintenance.
- Yuki BigQuery support is available today.
- Google added native AI functions like AI.GENERATE and AI.CLASSIFY to BigQuery in January 2026, which can multiply BigQuery costs from two directions.
- As of March 17, 2026, BigQuery's MCP server is auto-enabled for all new projects, meaning AI agents can now query BigQuery programmatically with no human reviewing the cost.
The players
Yuki
Yuki is a real-time data cost optimization platform that routes BigQuery and Snowflake queries to the most efficient compute in real time, with no code changes. Yuki runs privately in your cloud environment, adds enterprise-grade governance and controls, and continuously optimizes compute decisions in real time so teams can scale without waste.
Google BigQuery
Google's unified ecosystem where storage, analytics, governance, and AI services live together. BigQuery is one of the best analytics systems ever built, but companies have had to commit to long-term reservations just to get cost control.
Ido Arieli Noga
CEO and Co-Founder at Yuki.
What they’re saying
“BigQuery is one of the best analytics systems ever built, but companies shouldn't need a three-year commitment just to get cost control. Yuki makes optimization real-time, automatic, and reversible, so teams keep their freedom and cut waste at the same time.”
— Ido Arieli Noga, CEO and Co-Founder at Yuki
What’s next
Connecting BigQuery to Yuki takes minutes. Customers can start with a free BigQuery cost analysis to estimate savings potential based on their current job patterns and compute usage.
The takeaway
Yuki's real-time cost optimization for BigQuery eliminates the need for long-term reservations and allows companies to reduce their BigQuery spend by up to 60% without sacrificing performance or flexibility. This is a game-changer for organizations looking to maximize the value of their investment in Google's data analytics ecosystem.
