
One control panel for BigQuery Cost & Capacity
One control panel for BigQuery Cost & Capacity
One control panel for BigQuery Cost & Capacity
Reservation control & management
Automated reservation assignment
Guaranteed 15%+ cost savings
Request a demo
See in action
Control over all types of reservations and on-demand across 100+ BigQuery instances in one place
Control over all types of reservations and on-demand across 100+ BigQuery instances in one place
Workload-blind cost optimization is a false economy.
Masthead reduces BigQuery spend without performance tradeoffs.
Workload-blind cost optimization is a false economy. Masthead reduces BigQuery spend without performance tradeoffs.
Workload-aware reservation strategy
Higher performance at lower cost per TiB
Higher performance at lower cost/TiB
Better slot utilization
15–50% savings potential
Cost attribution by project/team/workload
Cost attribution by project/team/etc

Manage reservations at scale
Assign capacity to the right workloads to hit performance target — while often reducing cost per TiB by 20%+ and improving slot utilization toward 80%+ across projects.


Data FinOps needs automation
Managing BigQuery FinOps in one project is hard. Managing reservations, workloads, and budgets across dozens of projects becomes a full-time job. Masthead gives you a single view of what’s happening across your environment — and the controls to act fast.
Request a demo
See in action


Hidden waste accounts for ~15% of BigQuery compute
Across multi-project data platforms, we often find unused capacity and redundant workloads that quietly keep running. Masthead surfaces what’s unused and helps you deprecate it safely — with confidence.


Hidden waste accounts for ~15% of BigQuery compute
Across multi-project data platforms, we often find unused capacity and redundant workloads that quietly keep running. Masthead surfaces what’s unused and helps you deprecate it safely — with confidence.
Manage reservations at scale
Assign capacity to the right workloads to hit performance target — while often reducing cost per TiB by 20%+ and improving slot utilization toward 80%+ across projects.


Manage reservations at scale
Assign capacity to the right workloads to hit performance target — while often reducing cost per TiB by 20%+ and improving slot utilization toward 80%+ across projects.


Data FinOps needs automation
Request a demo
See in action
Managing BigQuery FinOps in one project is hard. Managing reservations, workloads, and budgets across dozens of projects becomes a full-time job. Masthead gives you a single view of what’s happening across your environment — and the controls to act fast.
Hidden waste accounts for ~15% of BigQuery compute
Across multi-project data platforms, we often find unused capacity and redundant workloads that quietly keep running. Masthead surfaces what’s unused and helps you deprecate it safely — with confidence.



Hidden waste accounts for ~15% of BigQuery compute
Across multi-project data platforms, we often find unused capacity and redundant workloads that quietly keep running. Masthead surfaces what’s unused and helps you deprecate it safely — with confidence.
Manage reservations at scale
Assign capacity to the right workloads to hit performance target — while often reducing cost per TiB by 20%+ and improving slot utilization toward 80%+ across projects.
Data FinOps needs automation
Managing BigQuery FinOps in one project is hard. Managing reservations, workloads, and budgets across dozens of projects becomes a full-time job. Masthead gives you a single view of what’s happening across your environment — and the controls to act fast.
Request a demo
See in action
Number of logs our system processes
Number of logs our system processes
%
Savings in first 30 days
%
Savings in first 30 days
h
Time to pinpoint waste
h
Time to pinpoint waste

Masthead gave us instant clarity on where our BigQuery spend was coming from—down to the pipeline and tool level—without weeks of dashboard work. We found dead-end workloads quickly, fixed what mattered, and moved the right jobs to reservations. The best part is we reduced compute costs while improving throughput, which freed budget to invest more in AI.

Bogdan Banu
Founding Data Platform Lead

Masthead gave us instant clarity on where our BigQuery spend was coming from—down to the pipeline and tool level—without weeks of dashboard work. We found dead-end workloads quickly, fixed what mattered, and moved the right jobs to reservations. The best part is we reduced compute costs while improving throughput, which freed budget to invest more in AI.

Bogdan Banu
Founding Data Platform Lead
Masthead News
Stay informed with the latest guides and news
Masthead News
Stay informed with the latest guides and news
Masthead News
Stay informed with the latest guides and news




