Masthead Data review
A BigQuery-focused observability platform with a free test runner and paid monitoring tiers.
Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
Masthead Data is a data reliability and observability platform for Google Cloud users, with a focus on BigQuery environments. It processes logs and metadata rather than reading customer data, monitoring table freshness, volume anomalies, schema changes, pipeline and model errors, and custom data-quality rules. Column-level lineage, data dictionaries for BigQuery and Looker, alerting, and BigQuery pipeline and table cost insights extend its coverage. Cloud-hosted and self-hosted deployments serve small, mid-market, and enterprise teams working in Google Cloud.
The published plans show a freemium structure. Test Runner costs $0 per GCP project per month and includes automated data observability, no user limits, no access to customer data, and no credit card requirement. Scale-up costs $189 per GCP project per month, billed monthly, adding data and pipeline monitoring plus automated anomaly detection while retaining no user limits and no access to customer data. Business uses a custom pricing model for environments beyond 2,000 tables and adds custom integrations, dedicated onboarding, and technical support. A 14-day free trial is also available without a card requirement.
Masthead Data fits teams already operating across Google BigQuery, Dataform, Dataplex, Analytics Hub, Looker, or Power BI, with notifications through Slack, Microsoft Teams, Google Chat, PagerDuty, and Jira. Its hybrid deployment options allow Masthead-hosted SaaS or operation in a customer Google Cloud project. Choose it when BigQuery monitoring, lineage, quality scans, and cost visibility are central requirements, especially when a free test runner is useful. Teams needing a broader, less Google Cloud-oriented observability scope may prefer another platform.
Masthead Data pros and cons
- Where it wins
- Free Test Runner tier has no user limits or credit card requirement
- Monitors freshness, volume, schemas, pipelines and model errors
- BigQuery lineage, cost insights and multi-channel alert integrations
- Where it doesn't
- The platform centers on Google Cloud BigQuery environments
- Business features such as custom integrations use custom pricing
- Support is provided through email and documentation channels
Masthead Data fact sheet, pricing and score →
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