One control panel for BigQuery Cost & Capacity

One control panel for BigQuery Cost & Capacity

One control panel for BigQuery Cost & Capacity

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Reservation control & management

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Automated reservation assignment

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Guaranteed 15%+ cost savings

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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.

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Workload-aware reservation strategy

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Higher performance at lower cost per TiB

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Higher performance at lower cost/TiB

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Better slot utilization

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15–50% savings potential

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Cost attribution by project/team/workload

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Cost attribution by project/team/etc

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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.

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Person Interviewing

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.

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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.

Person Interviewing
Person Interviewing

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.

Person Interviewing
Person Interviewing

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.

Person Interviewing
Person Interviewing

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.

Person Interviewing
Person Interviewing
Invoice image

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

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Savings in first 30 days

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Savings in first 30 days

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Time to pinpoint waste

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Time to pinpoint waste

BG

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

BG

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