How Mage Data Helps

As data flows into BigQuery from multiple sources, it often carries sensitive information -- PII, financial data, healthcare records, and more. Mage Data connects directly to BigQuery to discover and classify all sensitive data across datasets and tables.

Apply masking policies to create sanitized views or copies of BigQuery data for analytics, development, and sharing with third parties -- all while maintaining compliance with GDPR, HIPAA, PCI-DSS, and other regulations.

Key Challenges We Solve

  • Native BigQuery connector for seamless integration
  • Automated discovery across all datasets and tables
  • In-place masking without data movement
  • Policy-based masking for multi-team access control

Key Capabilities

Mage Data for BigQuery Overview
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Mage Data for BigQuery Overview

Automated Discovery

Uncover and classify sensitive information across all BigQuery datasets and projects with minimal manual effort.

Advanced Masking Techniques

Choose from a wide range of sophisticated masking algorithms to protect data without losing analytical value.

Simplified Policy Management

Manage all data protection rules for BigQuery and other platforms from a single, centralized console.

Cross Platform Flexibility

Apply consistent security standards to data moving between BigQuery and on-premises or other cloud databases.

Seamless Integration with BigQuery DDM

Enhance BigQuery's native dynamic masking with additional enterprise-grade security and governance controls.

Secure Your BigQuery Data

See how Mage Data integrates natively with Google BigQuery to discover, classify, and protect sensitive data in your cloud data warehouse.