Datafold

The fastest way to test your data.

Visit Website →

Overview

Datafold is a data testing and observability platform that helps data teams to ship data with confidence. It provides a suite of tools for data testing, data diffing, and data observability, which help you to catch data quality issues before they reach production. Datafold is designed to integrate seamlessly into your existing data development workflow.

✨ Key Features

  • Data diffing
  • Data testing and validation
  • Data observability and lineage
  • Integration with dbt
  • CI/CD for data

🎯 Key Differentiators

  • Focus on data testing and data diffing
  • Deep integration with dbt
  • CI/CD for data workflow

Unique Value: Provides a powerful and developer-friendly platform for data testing and observability, enabling data teams to prevent data quality issues and ship data with confidence.

🎯 Use Cases (4)

Data testing and validation in CI/CD pipelines Preventing data quality issues in production Data observability and root cause analysis Improving data team productivity

✅ Best For

  • Automating data testing for dbt projects
  • Comparing data before and after a code change
  • Monitoring data pipelines for data quality issues

💡 Check With Vendor

Verify these considerations match your specific requirements:

  • Master data management
  • Data cleansing and transformation

🏆 Alternatives

dbt tests Great Expectations Monte Carlo

Offers a unique data diffing feature and a strong focus on integrating data testing into the CI/CD workflow.

💻 Platforms

Web API

🔌 Integrations

Snowflake BigQuery Redshift Databricks dbt GitHub GitLab

🛟 Support Options

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

🔒 Compliance & Security

✓ SOC 2 ✓ GDPR ✓ SSO ✓ SOC 2 Type II ✓ GDPR

💰 Pricing

Contact for pricing

✓ 14-day free trial

Free tier: NA

Visit Datafold Website →