Data platform reliability for Google Cloud

Google BigQuery

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No access to data

Solution pays for itself

15 min installation

3 hours time to value

Automated costs alerts

Up to 50% savings

Masthead Data reliability platform

Surface and solve data platform issues at their source in minutes

quick wins

Data platform FinOps

Reduce BigQuery compute at least by 10% to 50% in 30 days

long-term wins

Data observability

Automated anomaly detection and data quality ruls without data access

long-term wins

Pipeline observability

Catch pipeline errors and cost spikes in real time

Trusted by Google Cloud

Masthead Data is proud to be a validated solution partner.

Why data teams choose Masthead

Most data observability tools require access to your most sensitive data.
Masthead reimagines data reliability to be non-intrusive.

Masthead only accesses metadata and logs

HIPAA & GDPR Compliant out-of-the-box

Bypass security checks and fulfill regulatory requirements quickly

Learn more

Masthead Data reliability platform

Surface and solve data issues at their source in minutes

long-term wins

Pipeline observability

Ensure reliability of data by enhancing data platform connectivity

long-term wins

Data observability

Ensure reliability of data before it reach data users

quick wins

Data platform FinOps

Reduce BQ compute at least by 10% to 50%

Discover our capabilities

Build data platforms you can trust

Masthead is the all-in-one platform for modern data reliability engineering on Google Cloud.

Freshness anomaly detected

The table failed to update for the last 6 days when expected.

Table: Transaction

Project: my-analytics

Inspect incident

Production project

GCP project

Tables

10,765

Views

1,289

External tables

1,001

Looker dashboards

240

Total new findings

120

Muted tables are excluded

All Assets

GCP project

Findings in priority tables

101

Findings in regular tables

Findings in muted tables

Automated
anomaly detection

Know when systems or data pipelines fail. Automatically monitor every table, pipeline, and model running in your data environment, regardless of scale.

Speed up resolution

No additional compute costs

Real-time notifications

Learn more

Continuous pipeline observability

Stay on top of your data platform health. Immediately see failures, their reason, the owner of the affected pipeline, and its downstream effects.

Understand failures and causes

Real-time notifications

No ETL integrations required

Learn more

Access Denied

Syntax error

Column does not exist

Error while reading data

Column name is ambiguous

Ensure and sustain data quality

Masthead evaluates data quality through rule-based checks in Google BigQuery without directly accessing or querying data tables.cc

No-code deployment ready in minutes

Eliminate custom dbt and SQL testing

Checks exist and run only in your GCP

Learn more

Items per page

1–10 of 50

issue-scan0location01

Table: location_01_payment.list

Remove scan

Edit scan

Refresh

Run scan now

Overview

Configuration

Last 7 job results

Success

Start time:

1 day ago

Records scanned:

940

Success

Start time:

Sep 7th 2023

Records scanned:

921

4 rules failed

Start time:

Sep 7th 2023

Records scanned:

940

1 rules failed

Start time:

Sep 5th 2023

Records scanned:

940

Success

Start time:

Aug 30st 2023

Records scanned:

940

—

Data quality rules

Add rules

Column

Rule type

Source

Dimension

Parameters

Treshold

Range check

Predefined rule type

Validity

Min: Empty. Max: Empty

100%

price

Range check

Predefined rule type

Validity

Min: 2,000. Max: 45,000

75%

Dataplex

stg_customer_name_sdk

Table • 24 upst

column_name_connected

dim2

coefficient

leads

metric_name

monthly_8

monthly_12

stg_customer_name_sdk

Table • 24 upst

leads

monthly_12

prod_copy.transactions

Table • 24 upst

user.payment

Looker • 100 downst • 4 upst

Column-level lineage and metadata management

Navigate complex data flows to pinpoint the root cause of data incidents and their downstream impacts.

Column-level lineage available in 30 minutes

Navigate data flows and find data products in CloudSQL, Google BigQuery and Looker

Improve data discoverability and accessibility

Learn more

Elevate Data Cost Consciousness

Know the true cost of your data products. See how each data pipeline dynamically contributes to your cloud spending.

Reveal orphan pipelines, dashboards

Optimize data models to be more cost efficient

Learn more

$1,300

Custom pipeline

41.01GB

Memory usage

$5,800

Looker

15.04TB

Memory usage

$1,127

-4%

Dataform

4.11GB

Memory usage

Why data teams choose Masthead

Most data observability tools require access to your most sensitive data. Masthead reimagines data reliability to be non-intrusive.

Masthead only accesses metadata and logs

HIPAA & GDPR Compliant out-of-the-box

Bypass security checks and fulfill regulatory requirements quickly

Learn more

Built for data teams who love GCP

Ease of deployment

Deploy in 15 minutes, achieve complete observability in just 5 hours.

No data intrusion

Gain comprehensive data observability without ever granting third-party access.

Out-of-the-box data reliability

Instantly see pipeline performance, outages, and costs without manual set-up.

Request a demo

Data platform reliability for Google Cloud

Google BigQuery

p
i
p
e
l
i
n
e

m
o
n
i
t
o
r
i
n
g

No access to data

Solution pays for itself

15 min instalation

3 hours time to value

Automated costs alerts

Up to 50% savings

Work email

Request a demo

Start for free. No credit card required

Trusted by Google Cloud

Masthead Data is proud to be a validated solution partner

Discover our capabilities

Build data platforms you can trust

Masthead is the all-in-one platform for modern data reliability engineering on Google Cloud.

Freshness anomaly detected

The table failed to update for the last 6 days when expected.

Table: Transaction

Project: my-analytics

Inspect incident

Production project

GCP project

Tables

10,765

Views

1,289

External tables

1,001

Looker dashboards

240

Total new findings

120

Muted tables are excluded

All Assets

GCP project

Findings in priority tables

101

Findings in regular tables

Findings in muted tables

Automated
anomaly detection

Know when systems or data pipelines fail. Automatically monitor every table, pipeline, and model running in your data environment, regardless of scale.

Speed up resolution

No additional compute costs

Real-time notifications

Learn more

Continuous pipeline observability

Stay on top of your data platform health. Immediately see failures, their reason, the owner of the affected pipeline, and its downstream effects.

Understand failures and causes

Real-time notifications

No ETL integrations required

Learn more

Access Denied

Syntax error

Column does not exist

Error while reading data

Column name is ambiguous

Ensure and sustain data quality

Masthead evaluates data quality through rule-based checks in Google BigQuery without directly accessing or querying data tables.cc

No-code deployment ready in minutes

Eliminate custom dbt and SQL testing

Checks exist and run only in your GCP

Learn more

Items per page

1–10 of 50

issue-scan0location01

Table: location_01_payment.list

Remove scan

Edit scan

Refresh

Run scan now

Overview

Configuration

Last 7 job results

Success

Start time:

1 day ago

Records scanned:

940

Success

Start time:

Sep 7th 2023

Records scanned:

921

4 rules failed

Start time:

Sep 7th 2023

Records scanned:

940

1 rules failed

Start time:

Sep 5th 2023

Records scanned:

940

Success

Start time:

Aug 30st 2023

Records scanned:

940

—

Data quality rules

Add rules

Column

Rule type

Source

Dimension

Parameters

Treshold

Range check

Predefined rule type

Validity

Min: Empty. Max: Empty

100%

price

Range check

Predefined rule type

Validity

Min: 2,000. Max: 45,000

75%

Dataplex

Column-level lineage and metadata management

Navigate complex data flows to pinpoint the root cause of data incidents and their downstream impacts.

Column-level lineage available in 30 minutes

Navigate data flows and find data products in CloudSQL, Google BigQuery and Looker

Improve data discoverability and accessibility

Learn more

Elevate Data Cost Consciousness

Know the true cost of your data products. See how each data pipeline dynamically contributes to your cloud spending.

Reveal orphan pipelines, dashboards

Optimize data models to be more cost efficient

Learn more

$1,300

Custom pipeline

41.01GB

Memory usage

$5,800

Looker

15.04TB

Memory usage

$1,127

-4%

Dataform

4.11GB

Memory usage

Data teams who love our work

Real data teams. Real results. See how Masthead delivers reliability at scale

Find more

Data teams who love our work

Real data teams. Real results. See how Masthead delivers reliability at scale

Find more

Yurii Gorbylov

CTO, Tranzzo

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, Tranzzo

Joseph Arriola

Senior Data Manager, Yalo

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, Yalo

Andrii Yasinetsky

Co-Founder, Mnemonic

In 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, Mnemonic

Shanhui Bono

Lead Data Engineer, Daybreak health

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, Daybreak health

Oksana Sheidaieva

Head of Analytics, All right

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.