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Ternary and Alvin Partner for Google Cloud & BigQuery Optimization


Ternary and Alvin Partner for Google Cloud & BigQuery Optimization
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  • January 20, 2026

Ternary, the leading FinOps platform for Google Cloud and multi-cloud environments, has formed a strategic partnership with Alvin, the autonomous BigQuery optimization engine, to deliver unified FinOps governance and continuous, hands-free BigQuery cost and performance optimization for predictable, measurable savings on Google Cloud.

Quick Intel

  • Ternary and Alvin announce strategic partnership combining FinOps visibility with autonomous BigQuery optimization.
  • Targets organizations scaling analytics and data workloads where BigQuery drives significant cloud spend.
  • Ternary provides end-to-end Google Cloud governance, allocation, budgeting, forecasting, and anomaly detection.
  • Alvin autonomously tunes queries, slot utilization, and pricing models in real-time for 30-60% cost reduction.
  • Enables FinOps teams to move from passive monitoring to active cost management with minimal manual effort.
  • Delivers value across finance, data engineering, analytics, and executive stakeholders for scalable cloud efficiency.

Unified FinOps and BigQuery Optimization

As Google Cloud adoption grows and BigQuery becomes a major driver of analytics spend, organizations face the dual challenge of maintaining strong financial governance while ensuring operational efficiency at scale. Ternary and Alvin address this by combining comprehensive visibility with intelligent, autonomous optimization.

Ternary offers native, real-time insights and controls across all Google Cloud services, including precise allocation to teams and projects, budgeting, forecasting, anomaly detection, and chargeback capabilities specifically for BigQuery usage. This creates a financial system of record that promotes accountability and informed decision-making.

Alvin complements this foundation by continuously analyzing query patterns, resource consumption, and pricing models to automatically optimize BigQuery execution. The engine improves performance, maximizes slot utilization, and reduces costs without requiring manual intervention from data engineers or analysts.

“Ternary was built to help organizations manage Google Cloud and technology spend as a disciplined financial system of record,” said Sasha Kipervarg, Ternary CEO and co-founder. “By going to market with Alvin, we connect FinOps governance directly to BigQuery execution, giving customers a clear and practical path from insight to sustained savings.”

Autonomous Efficiency for Data Workloads

“The partnership between Alvin and Ternary represents a shift from passive cost monitoring to active cost management,” said Dan Mashiter, Alvin co-founder. “Our autonomous optimization engine perfectly complements Ternary’s comprehensive FinOps platform, giving Google Cloud customers a seamless way to govern their entire cloud footprint while ensuring their largest BigQuery workloads are running at peak efficiency and lowest possible cost.”

Together, the solution empowers:

  • FinOps teams with predictability, control, and accurate forecasting.
  • Data and engineering teams with performance gains and reduced operational overhead.
  • Executives with a scalable model for governing analytics spend and cloud investments.

This best-of-breed approach helps organizations eliminate waste, sustain savings as data usage expands, and confidently scale analytics initiatives on Google Cloud.

About Ternary

Ternary is the modern FinOps platform purpose-built to drive accountability and maximize technology spend efficiency. Designed for Finance, Engineering, and FinOps teams, Ternary delivers real-time visibility, actionable insights, and seamless collaboration to align technology investments with strategic business goals. Trusted by global enterprises and leading managed service providers, Ternary manages over $7.5 billion in multi-cloud spend and is backed by experienced investors, including Jump Capital and Fin Capital.

About Alvin

Alvin is a Google Cloud Partner and the leading autonomous optimization engine for BigQuery, designed to help organizations maximize the performance and cost-efficiency of their data workloads. By continuously analyzing queries, slot utilization, and pricing models, Alvin automatically tunes BigQuery environments in real-time, reducing costs by 30-60%. This delivers a level of efficiency unattainable through manual effort alone, allowing data teams to focus on driving business value, confident that their workloads always run at the lowest possible cost.

  • Google CloudCloud Spend ManagementAI AutomationData Analytics
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