Data & Pipeline Observability Built for BigQuery

Data & Pipeline Observability Built for BigQuery

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Full coverage

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Cross project

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No data access

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Real-time Anomaly Detection

Request a demo

See in action

Data & Pipeline Observability Built for BigQuery

Icon

Full coverage

Icon

Cross project

Icon

No data access

Icon

Real-time Anomaly Detection

Request a demo

See in action

Full-platform monitoring in hours — whether you have 1 project or 350+

Full-platform monitoring in hours — whether you have 1 project or 350+

Detect data anomalies, schema changes, and pipeline breakages in real time — automatically

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Automated anomaly detection

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Automated anomaly detection

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No rules to configure

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No rule setting

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Terraform deploy in ~15 min

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Terraform deploy in ~15 min

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Value in ~2 hrs

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Value in ~2 hrs

Know the moment something changes — across every project

Get alerts when schemas shift, pipelines break, or data behavior drifts — across all connected BigQuery instances.

Masthead alerts in Slack about any schema change, pipeline update, or breakage, as well as any data deviation in tables across all connected BQ instances

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Real-time alerting

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Real-time alerting

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Automated data & pipeline observability

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Automated data & pipeline observability

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No need to integrate with ETL or Orchestrations

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No need to integrate with ETL or Orchestrations

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No data access

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No data access

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Troubleshoot in minutes — before business users notice

From day one, see the blast radius when data breaks — from source tables to affected dashboards.

Masthead observes all data pipelines for quality assessments regardless of your technology stack. Access pre-built Dataplex quality rules, or write your own.

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No ETL integration needed

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No ETL integration needed

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Automatic column-level lineage (cross project)

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Automatic column-level lineage (cross project)

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Impact to Looker / LookML assets

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Impact to Looker / LookML assets

Everyone wants observability. Proving ROI is the hard part

Masthead pairs full-platform data observability with Data FinOps for BigQuery, so data engineers can quantify savings and communicate clear, measurable impact to leadership.

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Deploy in ~15 min; first insights in ~2 h

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Deploy in ~15 min; first insights in ~2 h

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Available on Google Cloud Marketplace

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Available on Google Cloud Marketplace

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30-day free proof of concept

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30-day free proof of concept

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Number of logs our system processes

Number of logs our system processes

Request a demo

Read more

32

M

events daily

32

M

events daily

0

- 50%

BigQuery cost optimization

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- 50%

BigQuery cost optimization

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Masthead transformed our data operations overnight. With a seamless deployment, we gained real-time visibility into telemetry and pipeline health. During races, we can immediately detect when data is delayed, duplicated, or missing — and respond on the spot. Previously, we spent hours after races diagnosing issues and explaining gaps. Now we resolve problems in real time, which has been a game-changer for reliability and performance.

Will Allen

Senior Data & AI Manager

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Masthead transformed our data operations overnight. With a seamless deployment, we gained real-time visibility into telemetry and pipeline health. During races, we can immediately detect when data is delayed, duplicated, or missing — and respond on the spot. Previously, we spent hours after races diagnosing issues and explaining gaps. Now we resolve problems in real time, which has been a game-changer for reliability and performance.

Will Allen

Senior Data & AI Manager

BG

Masthead transformed our data operations overnight. With a seamless deployment, we gained real-time visibility into telemetry and pipeline health. During races, we can immediately detect when data is delayed, duplicated, or missing — and respond on the spot. Previously, we spent hours after races diagnosing issues and explaining gaps. Now we resolve problems in real time, which has been a game-changer for reliability and performance.

Will Allen

Senior Data & AI Manager