Data teams who love our work
30%
improvement in data
availability

Masthead enabled us to elevate data trust at Tranzzo, empowering our organization to make data-informed decisions with confidence. With Masthead, our team can collaboratively maintain complete control over all data tables and pipeline health, and ensure data reliability at scale and available to every business user in time. Shortly after deploying, Masthead enabled us to reduce the rate of crucial data absence by 30%.


Yurii Gorbylov
CTO
10+
hours saved per week

Before Masthead, the team would spend hours and hundreds of messages on Slack to decide where the problem was and if there was a problem at all. We needed a way to look at everything at once, from one common point of view. With Masthead, everyone on the team can instantly see where the problem originates and how it affects our work and our stakeholders.


Joseph Arriola
Senior Data Manager
20%
reduction in cloud compute
costsIn just 24 hours of onboarding, we uncovered a handful of pesky queries that were wreaking havoc on our project's compute costs. With Masthead help we slashed our cloud compute expenses by a staggering 20% by swiftly pinpointing and eliminating an unnecessary process.


Andrii Yasinetsky
Co-Founder
99%
data system availability,
without compromising
passions data

Ensuring data quality and uptime is of utmost importance to us. We required a secure and cost-effective way to monitor and control our data pipelines. Masthead's log-based approach offers a comprehensive view of data quality in BigQuery, akin to how DataDog functions for software infrastructure. Masthead ensures that our data pipelines are up and running, thereby guaranteeing no outages in our data system.


Shanhui Bono
Lead Data Engineer
30%
improvement in time
to resolution
Masthead instantly notifies us of any data or pipeline issues and helps our team troubleshoot and resolve these issues without guesswork. The visual lineage provides a comprehensive view of data flows, dependencies, and the potential impacts of data issues, thereby reducing the time it takes us to triage and act on root cause.


Oksana Sheidaieva
Head of Analytics
Data teams who love our work
30%
improvement in data
availability

Masthead enabled us to elevate data trust at Tranzzo, empowering our organization to make data-informed decisions with confidence. With Masthead, our team can collaboratively maintain complete control over all data tables and pipeline health, and ensure data reliability at scale and available to every business user in time. Shortly after deploying, Masthead enabled us to reduce the rate of crucial data absence by 30%.


Yurii Gorbylov
CTO
10+
hours saved per week

Before Masthead, the team would spend hours and hundreds of messages on Slack to decide where the problem was and if there was a problem at all. We needed a way to look at everything at once, from one common point of view. With Masthead, everyone on the team can instantly see where the problem originates and how it affects our work and our stakeholders.


Joseph Arriola
Senior Data Manager
20%
reduction in cloud compute
costsIn just 24 hours of onboarding, we uncovered a handful of pesky queries that were wreaking havoc on our project's compute costs. With Masthead help we slashed our cloud compute expenses by a staggering 20% by swiftly pinpointing and eliminating an unnecessary process.


Andrii Yasinetsky
Co-Founder
99%
data system availability,
without compromising
passions data

Ensuring data quality and uptime is of utmost importance to us. We required a secure and cost-effective way to monitor and control our data pipelines. Masthead's log-based approach offers a comprehensive view of data quality in BigQuery, akin to how DataDog functions for software infrastructure. Masthead ensures that our data pipelines are up and running, thereby guaranteeing no outages in our data system.


Shanhui Bono
Lead Data Engineer
30%
improvement in time
to resolution
Masthead instantly notifies us of any data or pipeline issues and helps our team troubleshoot and resolve these issues without guesswork. The visual lineage provides a comprehensive view of data flows, dependencies, and the potential impacts of data issues, thereby reducing the time it takes us to triage and act on root cause.


Oksana Sheidaieva
Head of Analytics
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Save at least 10%
on your next Google BigQuery bill
We offer an extended trial
Get a demo
Get a demo
Get a demo

Reduce BigQuery costs
Identify best BigQuery billing model
Surface unused compute
See the most expensive pipelines
Get a demo
Google Cloud Data FinOps
Masthead surfaces how many data pipelines are in your data platform, shows the cost for each one, and visualizes where efficiencies can be made.

Pipeline compute costs
$57,363
Custom pipeline
$34,773
DBT
$2,353
+5%
Fivetran
$273
+2
Data transfer service
$208
Looker
$19,702
Power BI
$54
Costs per pipeline
$
$
$
$
Know the cost of ownership
solutions using BigQuery compute
Know the cost of each data pipeline and know which data pipelines should be optimized.
See the cost of running every
pipeline within your data environment
Monitor exactly how many pipelines exist and attribute by owner, label and third-party tool.
Choose best compute model for BQ: On-demand vs Editions
Identify best compute model can optimize Google BigQuery cost by 30%-50%

Destination table
accounts.devportal_usage_per_day_normalized
Regular
Dead-end
Alternative plan option
$6,000.80
1
ik2_op_co_invoice_request
ik2_op_refund
15 slots
30.70 GiB
$5,600.00
$870.00
2
i2_op_refund
20 slots
7.70 GiB
$1,400.80
$200.40
3
gke_cluster_resource_consumption
3 slots
12.60 GiB
$400.80
Destination table
ik2_op_co_invoice_integration_config
Regular
Frequency issue
$1,100.00
1
new_users_weelky_report
24 slots
4.21 GiB
$1,100.00
Destination table
void_request
Regular
Alternative plan option
$400.00
1
checkout_payways
127 slots
98.09 GiB
$400.00
$800.00
Destination table
new_account_firt_view
Critical
Dead-end
Frequency issue
$6,000.80
Destination table
withdraws_volume_dynamics_merchant
Priority
Dead-end
$560.44
Destination table
withdraws_export
Regular
$100.11
Alternative plan savings
18
Cost optimisation est.
$21,098
35% savings

adx.user_events
GBQ TABLE • 3 upst
48 columns
cto
domain
edx
exchange
exchange_user_id
1
2
3
4
marketing.details_sdk
Table • 100 downst • 4 upst
25 columns
integration.v_ip_event_att
GBQ TABLE • 2 upst
_snapshot_time
action
domain
ip
puid
1
2
3
4
Revenue 362
Looker dashboard
$2,900
$347
$1,347
Dead-end tables
12
Cost optimisation est.
$1,119.23
10% savings
Reduce BigQuery compute by identifying pipelines that are not in use
We offer an extended trial. We guarantee that you can save at least 10% on your next BigQuery check.
Save at least 10% up to 50%
on your next BigQuery check
We offer an extended trial
Get a demo
Data teams who love our work
30%
improvement in data
availability

Masthead enabled us to elevate data trust at Tranzzo, empowering our organization to make data-informed decisions with confidence. With Masthead, our team can collaboratively maintain complete control over all data tables and pipeline health, and ensure data reliability at scale and available to every business user in time. Shortly after deploying, Masthead enabled us to reduce the rate of crucial data absence by 30%.

Yurii Gorbylov
CTO
10+
hours saved
per week
Before Masthead, the team would spend hours and hundreds of messages on Slack to decide where the problem was and if there was a problem at all. We needed a way to look at everything at once, from one common point of view. With Masthead, everyone on the team can instantly see where the problem is coming from and how it’s affecting our work and our stakeholders.


Joseph Arriola
Senior Data Manager
20%
reduction in cloud compute
costsIn just 24 hours of onboarding, we uncovered a handful of pesky queries that were wreaking havoc on our project's compute costs. With Masthead help we slashed our cloud compute expenses by a staggering 20% by swiftly pinpointing and eliminating an unnecessary process.

Andrii Yasinetsky
Co-Founder
99%
data system availability,
without compromising
passions data

Ensuring data quality and uptime is of utmost importance to us. We required a secure and cost-effective way to monitor and control our data pipelines. Masthead's log-based approach offers a comprehensive view of data quality in BigQuery, akin to how DataDog functions for software infrastructure. Masthead ensures that our data pipelines are up and running, thereby guaranteeing no outages in our data system.

Shanhui Bono
Lead Data Engineer
30%
improvement in time
to resolution
Masthead instantly notifies us of any data or pipeline issues and helps our team troubleshoot and resolve these issues without guesswork. The visual lineage provides a comprehensive view of data flows, dependencies, and the potential impacts of data issues, thereby reducing the time it takes us to triage and act on root cause.

Oksana Sheidaieva
Head of Analytics
Check out Google BigQuery
Optimization Guide
Practical guidelines and strategies to optimize storage and compute expenses, ensuring you get the most value out of BigQuery
Downloaded 1k+ times
in one month
Start for free. No credit card required


“This guide provides actionable advice for optimising your BigQuery costs, covering storage, compute, and query patterns. A comprehensive guide to getting the best value from BigQuery.”
Independent Data Consultant and Google Developer Expert
Catch and fix the data issues fast
Reach us at team@mastheadata.com


Masthead Data 2025. All rights reserved
Catch and fix the data issues fast
Reach us at team@mastheadata.com


Masthead Data 2025. All rights reserved
Google Cloud Data FinOps
Masthead surfaces how many data pipelines are in your data platform, shows the cost for each one, and visualizes where efficiencies can be made.


Pipeline compute costs
$57,363
Custom pipeline
$34,773
DBT
$2,353
+5%
Fivetran
$273
+2
Data transfer service
$208
Looker
$19,702
Power BI
$54
Costs per pipeline
$
$
$
$
Know the cost of ownership
solutions using BigQuery compute
Know the cost of each data pipeline and know which data pipelines should be optimized.
See the cost of running every
pipeline within your data environment
Monitor exactly how many pipelines exist and attribute by owner, label and third-party tool.


Destination table
accounts.devportal_usage_per_day_normalized
Regular
Dead-end
Alternative plan option
$6,000.80
1
ik2_op_co_invoice_request
ik2_op_refund
15 slots
30.70 GiB
$5,600.00
$870.00
2
i2_op_refund
20 slots
7.70 GiB
$1,400.80
$200.40
3
gke_cluster_resource_consumption
3 slots
12.60 GiB
$400.80
Destination table
ik2_op_co_invoice_integration_config
Regular
Frequency issue
$1,100.00
1
new_users_weelky_report
24 slots
4.21 GiB
$1,100.00
Destination table
void_request
Regular
Alternative plan option
$400.00
1
checkout_payways
127 slots
98.09 GiB
$400.00
$800.00
Destination table
new_account_firt_view
Critical
Dead-end
Frequency issue
$6,000.80
Destination table
withdraws_volume_dynamics_merchant
Priority
Dead-end
$560.44
Destination table
withdraws_export
Regular
$100.11
Alternative plan savings
8
Cost optimisation est.
$21,098
15% savings
Choose the best compute model for BigQuery: On-demand vs Editions
Identify the best compute model can optimize Google BigQuery cost by 30%-50%


adx.user_events
GBQ TABLE • 3 upst
48 columns
cto
domain
edx
exchange
exchange_user_id
1
2
3
4
marketing.details_sdk
Table • 100 downst • 4 upst
25 columns
integration.v_ip_event_att
GBQ TABLE • 2 upst
_snapshot_time
action
domain
ip
puid
1
2
3
4
Revenue 362
Looker dashboard
$2,900
$347
$1,347
Dead-end tables
12
Cost optimisation est.
$1,119.23
10% savings
Reduce BigQuery compute by identifying pipelines that are not in use
We offer an extended trial. We guarantee that you can save at least 10% on your next BigQuery check.
Check out Google BigQuery
Optimization Guide
Practical guidelines and strategies to optimize storage and compute expenses, ensuring you get the most value out of BigQuery


“This guide provides actionable advice for optimising your BigQuery costs, covering storage, compute, and query patterns. A comprehensive guide to getting the best value from BigQuery.”
Independent Data Consultant and Google Developer Expert


Downloaded 1k+ times
in one month
Start for free. No credit card required
Downloaded 1k+ times
in one month
Start for free. No credit card required




