As organizations scale on Google Cloud, cloud costs grow more complex and harder to control. Spend spans compute, storage, networking, managed services, and analytics, with BigQuery costs often increasing faster than any other category.
Many teams can see their Google Cloud costs, but visibility alone does not reduce spend. Dashboards and recommendations highlight issues, yet execution remains manual, fragmented, and slow, especially when finance and engineering teams operate in silos.
In this blog, we’ll explore how effective Google Cloud cost management requires both strong FinOps governance and automated execution. We’ll also take a closer look at the Ternary and Alvin partnership and how it connects cost visibility with autonomous BigQuery cost optimization as part of a broader Google Cloud cost strategy.
A complete Google Cloud cost story requires multiple layers
Managing Google Cloud costs effectively requires operating across multiple layers at once. At the foundation, organizations need accurate visibility, allocation, forecasting, and governance across all Google Cloud services. Compute, storage, networking, managed platforms, and analytics each contribute to spend in different ways. Usage patterns shift constantly as teams ship new features, scale products, and adopt new data workflows. Without strong FinOps governance, teams struggle to understand who is driving costs, how spend is trending, and where accountability should live.
At the same time, cost efficiency depends on how workloads actually run. Even with budgets and reporting in place, inefficiencies at the service or workload layer can quietly compound over time. This is especially true in analytics environments, where usage patterns vary widely and change daily.
Native Google Cloud tooling provides helpful signals, but it is not designed to operate as a complete financial system or to continuously optimize workloads as usage evolves. Many FinOps platforms aggregate Google Cloud spend, but lack the depth required to govern costs with precision or address service-specific optimization challenges.
Most tools focus on a single layer, either visibility or recommendations. Few connect financial governance directly to execution.
This is where Ternary and Alvin come together.
Two best-of-breed platforms, one continuous optimization loop
Together, Ternary and Alvin deliver end-to-end Google Cloud cost optimization and governance.
Ternary provides the financial system of record for Google Cloud, delivering all key FinOps capabilities. Built from the ground up for Google Cloud billing data, Ternary has since expanded to support multi-cloud and broader technology spend. Alvin complements this foundation by focusing on one of the most complex and fast-moving areas of Google Cloud spend, BigQuery.
Rather than overlapping, the two platforms operate at different layers of the stack. Ternary governs cloud and technology spend. Alvin optimizes how BigQuery workloads execute.
Ternary governs Google Cloud and technology spend
Ternary helps organizations operate Google Cloud spend as a disciplined financial system of record. It delivers:
- Deep, native visibility into Google Cloud billing data
- Accurate allocation, budgeting, and forecasting across all Google Cloud services
- FinOps workflows and anomaly detection tuned for Google Cloud usage patterns
- Unified reporting across multi-cloud and broader technology spend
Ternary answers the financial questions that matter most.
Alvin automatically optimizes BigQuery usage
Alvin focuses exclusively on BigQuery cost optimization. While many tools surface recommendations, Alvin continuously executes optimization automatically. It:
- Analyzes query behavior, table scans, and slot usage
- Routes workloads to the most cost-effective BigQuery pricing model
- Improves reservation and autoscaling efficiency
- Rewrites queries to increase cache hit rates and avoid unnecessary re-execution
Alvin operates transparently, without requiring ongoing manual tuning from data engineering teams.
Individually, FinOps governance and workload optimization deliver value. Together, they close a critical gap in Google Cloud cost management.
Ternary provides the financial insight needed to understand where Google Cloud spend comes from and how it should be governed. Alvin ensures that BigQuery workloads continuously run as efficiently as possible as usage changes.
Why use both? Governance and optimization compound savings
Google Cloud costs are influenced by both financial decisions and technical behavior. Addressing only one side limits the impact.
1. Govern Google Cloud spend with precision. Ternary provides the foundation, ensuring costs across services are visible, allocated, forecasted, and governed.
2. Optimize complex workloads automatically. Alvin reduces BigQuery waste by optimizing how analytics workloads run in real time.
The Ternary and Alvin partnership enables organizations to gain control across their full Google Cloud environment while addressing one of its most complex cost drivers with automation.
Conclusion
Managing Google Cloud spend requires more than visibility. It requires execution.
Ternary and Alvin bring together best-of-breed FinOps governance and autonomous BigQuery optimization to help organizations move from insight to sustained savings across Google Cloud.
If you’re managing large-scale BigQuery environments and looking to close the gap between insight and action, this partnership was built for you.
Explore the Ternary and Alvin partnership.
