Synq

Observability for Data Products

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Overview

Synq is a data observability platform that focuses on monitoring data products, such as key tables, models, and metrics. It helps data teams detect and resolve data quality issues before they impact business intelligence and analytics. By providing tools for monitoring, root cause analysis, and automated fixes, Synq helps improve data reliability and the efficiency of the underlying data warehouse.

✨ Key Features

  • Data product-centric monitoring
  • Automated data quality checks
  • Anomaly detection
  • Root cause analysis
  • Integration with dbt and other transformation tools

🎯 Key Differentiators

  • Focus on 'data products' as the unit of monitoring
  • AI-native approach to detection and resolution
  • Deep integration with transformation layers like dbt

Unique Value: Provides observability at the semantic layer of data products, ensuring the reliability of the outputs of the data warehouse, not just the raw tables.

🎯 Use Cases (4)

Ensuring the reliability of key business metrics Monitoring the quality of dbt models Detecting and resolving data pipeline issues Building trust in data products

✅ Best For

  • Automatically monitoring dbt models for data quality issues
  • Defining and monitoring the health of a critical 'customers' data product

💡 Check With Vendor

Verify these considerations match your specific requirements:

  • Organizations not using a modern, model-centric approach to data (e.g., not using dbt)

🏆 Alternatives

Metaplane Monte Carlo dbt built-in testing

Offers a more business-logic-aware approach to observability compared to tools that only monitor physical tables, and more automation than relying solely on dbt tests.

💻 Platforms

Web

🔌 Integrations

Snowflake BigQuery Redshift dbt SQLMesh Looker

🛟 Support Options

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

🔒 Compliance & Security

✓ SOC 2 ✓ GDPR ✓ SSO ✓ SOC 2 Type II

💰 Pricing

Contact for pricing
Free Tier Available

✓ 14-day free trial

Free tier: Free plan for small teams with a limited number of data products.

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