What is iceDQ?
iceDQ provides a comprehensive data reliability platform engineered to automate testing, monitoring, and observability for data-centric systems. It enables organizations to implement automated data pipeline testing, establish production data checks and controls, and detect anomalies using AI-based observability metrics.
The platform supports various data environments including cloud migrations, ETL pipelines, big data lakes, data warehouses, and BI reports. It integrates seamlessly with CI/CD pipelines and is deployed across industries such as banking, insurance, and healthcare, offering enterprise-ready security, performance, and scalability.
Features
- AI Powered: Automate anomaly detection with AI and implement data audits for complex business rules
- Enterprise Ready: Deployed at large banks, insurance, healthcare, and other industries with proven security and scalability
- DataOps Enabled: Seamlessly integrate with CI/CD pipelines throughout the data lifecycle from development to operations
- Unified Platform: One platform to test, monitor, and observe both data pipelines and data
- Connectors & Integrations: Supports various technology partners including AWS, Snowflake, Yellowbrick, and Vertica
Use Cases
- Automate cloud data migration testing
- ETL/data pipeline testing
- Big data lake testing
- BI report testing
- Implement audits and controls on production data pipelines
- Detect and notify data anomalies in production with AI
- Data warehouse testing
- Salesforce testing
- FINRA compliance solution
- BCBS-239 solution
