Greybeam announced the launch of its Cost Observability Tool at Snowflake Summit 2026, introducing a free Snowflake Native App designed to help organizations monitor, analyze and optimize Snowflake compute costs. The solution is now available on Snowflake Marketplace and aims to provide enterprise data teams with greater visibility into warehouse-level and query-level spending.
The launch expands Greybeam’s intelligent query routing platform capabilities as organizations continue prioritizing cloud cost optimization and operational efficiency across growing AI and analytics workloads.
As Snowflake deployments scale and AI-driven workloads increase, many organizations are facing rising compute costs and growing pressure to improve infrastructure efficiency.
Greybeam’s Cost Observability Tool is designed to address this challenge by giving data teams detailed insights into how Snowflake credits are consumed across warehouses and analytical queries.
The platform helps organizations identify high-consumption workloads, uncover cost drivers and surface opportunities to optimize resource allocation directly within their Snowflake environments.
"As Snowflake workloads scale, cost optimization has become a top priority for data teams in 2026 — but you can't optimize what you can't see," said Kyle Cheung, Co-Founder and CEO of Greybeam. "That's why we're launching Greybeam's Cost Observability Tool as a free Snowflake Native App. It gives teams instant visibility into their highest-consumption warehouses and queries so they can understand exactly where every credit goes. Our mission at Greybeam is to help customers do more with less — stretch their credits further, eliminate waste, and redirect spend toward the workloads that actually drive business value."
The Cost Observability Tool is delivered as a Snowflake Native App, allowing customers to install and operate the solution directly within their Snowflake accounts without requiring data movement or external integrations.
The application provides organizations with:
Teams can analyze compute consumption across Snowflake warehouses to better understand which workloads are driving the highest operational costs.
The platform also breaks down spending at the query level, helping organizations identify inefficient or resource-intensive analytical processes.
By surfacing key cost drivers and usage patterns, the solution enables organizations to take proactive steps toward improving cloud infrastructure efficiency and credit allocation.
Greybeam noted that organizations seeking additional optimization capabilities can also use its broader intelligent query routing platform to route analytical workloads to more cost-effective compute engines.
The Cost Observability Tool is now available through Snowflake Marketplace, which enables organizations to discover, deploy and purchase third-party data, AI and analytics applications directly within the Snowflake ecosystem.
Greybeam stated that the integration helps organizations accelerate time to value while reducing operational silos and infrastructure complexity.
The company also highlighted the Snowflake Native App Framework, which enables developers to build and distribute applications that operate directly within customer Snowflake environments.
Greybeam is backed by SignalFire, Founder Collective and angel investors including Wes McKinney, creator of Pandas, and Jordan Tigani, CEO of MotherDuck.
About Greybeam
Greybeam is an intelligent query routing platform that helps Snowflake customers dramatically reduce compute costs. Backed by SignalFire, Founder Collective, and angel investors including Wes McKinney (creator of Pandas) and Jordan Tigani (CEO of MotherDuck), Greybeam is headquartered in San Francisco.
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