Anomalo

The complete data quality platform.

Visit Website →

Overview

Anomalo is a data quality platform that helps data teams to trust their data. It uses machine learning to automatically learn the patterns in your data and to detect anomalies and data quality issues. Anomalo provides a complete solution for data quality, from monitoring and alerting to root cause analysis and resolution.

✨ Key Features

  • Automated data monitoring with machine learning
  • Data profiling and discovery
  • Root cause analysis
  • Data validation rules
  • Collaboration and workflow tools

🎯 Key Differentiators

  • Focus on automated data monitoring with machine learning
  • Easy to use and set up
  • Strong root cause analysis capabilities

Unique Value: Provides a complete and automated solution for data quality, enabling data teams to proactively identify and resolve data issues with minimal effort.

🎯 Use Cases (4)

Data quality monitoring and anomaly detection Data validation for critical datasets Root cause analysis of data issues Improving data trust and reliability

✅ Best For

  • Monitoring financial data for anomalies
  • Ensuring the quality of data for machine learning models
  • Validating data in e-commerce platforms

💡 Check With Vendor

Verify these considerations match your specific requirements:

  • Master data management
  • Data cleansing and transformation

🏆 Alternatives

Monte Carlo Bigeye Datafold

Offers a more automated and machine learning-driven approach to data quality compared to traditional rules-based systems.

💻 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

Visit Anomalo Website →