Data teams who love our work

Data teams who love our work

Masthead News

November 16, 2023

Why data teams need to adopt

“product thinking”?

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October 11, 2023

How to run dbt + Airflow on

Google Cloud

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August 29, 2023

Masthead Data Achieves Google

Cloud Ready – Cloud SQL

Designation

Read More

Save at least 10%
on your next Google BigQuery bill

We offer an extended trial

Get a demo

Get a demo

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Product

Case Studies

Start now

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

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

Reduce

BigQuery costs

Identify best BigQuery billing model

Surface unused compute

See the most expensive pipelines

Get a demo

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.

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