OwlDQ

The Data Observability Platform for the Enterprise.

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Overview

OwlDQ is a data observability platform that provides end-to-end visibility into the health of your data. It helps you to identify and resolve data quality issues before they impact your business, and to build a culture of data trust. OwlDQ offers a comprehensive set of features for data quality monitoring, data lineage, and incident management.

✨ Key Features

  • Automated data quality monitoring
  • Data lineage and impact analysis
  • Incident management and collaboration
  • Customizable data quality metrics
  • Schema change detection

🎯 Key Differentiators

  • Focus on data observability
  • Automated data quality monitoring
  • Strong data lineage and impact analysis capabilities

Unique Value: Provides a comprehensive data observability platform that enables enterprises to proactively monitor and improve the quality of their data.

🎯 Use Cases (4)

Data quality monitoring and observability Data pipeline testing and validation Data governance and compliance Incident management for data issues

✅ Best For

  • Ensuring data quality for financial reporting
  • Monitoring data pipelines for e-commerce platforms
  • Building a proactive data quality program

💡 Check With Vendor

Verify these considerations match your specific requirements:

  • Master data management
  • Data cleansing and transformation

🏆 Alternatives

Monte Carlo Bigeye Anomalo

Offers a strong focus on data lineage and impact analysis, in addition to core data quality monitoring features.

💻 Platforms

Web API

🔌 Integrations

Snowflake BigQuery Redshift Databricks dbt Looker Tableau

🛟 Support Options

  • ✓ Email Support
  • ✓ Live Chat
  • ✓ Dedicated Support (Enterprise tier)

🔒 Compliance & Security

✓ SOC 2 ✓ HIPAA ✓ BAA Available ✓ GDPR ✓ ISO 27001 ✓ SSO ✓ SOC 2 Type II ✓ ISO 27001 ✓ HIPAA ✓ GDPR

💰 Pricing

Contact for pricing

✓ 14-day free trial

Free tier: NA

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