Smarter Data, Smarter You
We’re excited to unveil the new AI features and the iceDQ NextGen Product Roadmap for 2025! Our commitment to early data issue detection and ongoing data reliability drives the continuous innovation of our platform.
New AI features - Gen AI Capabilities
- Bulk Rule Generation: iceDQ can create data quality rules like Reconciliation between data sources, schema compare, count checks for use cases like Data Migration Testing, ETL Testing, etc.
- SQL Assistant: Generate SQL in multiple ways:
- Create SQL queries by describing what you need in plain English.
- Get help fixing problematic SQL queries with intelligent suggestions.
- Understand complex queries through clear, natural language explanations.
- Expression Generation: Automated creation of iceDQ checks based on Natural Language Prompts.
Watch it in action.
iceDQ NextGen Product Roadmap - Coming Soon
Q3 2025
- Connectors Expansion:
- BI Reporting – Qlik Sense
- Gen-AI Capability:
- SQL Assistant
- Bulk Rule / Test Generation
- Python Support:
- Custom Expression
- AWS Marketplace Launch
- iceDQ SaaS offering available on AWS Marketplace
- AI Test Engineer Assistant: Gen AI-powered assistant helps you:
- Generate data quality rules through natural conversation
- Build and manage expressions effortlessly
- Create SQL queries using plain English
- Set up and schedule automated workflows
Q4 2025
- Connectors Expansion:
- BI Reporting – Qlik Sense & Tableau
- Python Support:
- Custom Expression
- Native Snowflake Engine: iceDQ Engine that processes iceDQ rules within Snowflake Environment
- Integrated Data Processing in Snowflake: Rules are executed directly within Snowflake, utilizing its native SQL dialect, built-in functions, and virtual warehouses—eliminating the need to move data to external systems.
- Built-in Security and Access Control: Processing operates within Snowflake’s security framework, ensuring compliance with access controls and leveraging native security integration.
- Out-of-the-Box Validation Checks: Click and configure out-of-box checks for:
- Conditional Compare
- Fuzzy Compare
- Foreign Key
- Validation
- Referential Integrity Check
- Schema & Data Drift
Q1 2026
- Python Support
- UDF
- Script Rule
- Global Workspace – Rules
- Gen-AI Capability
- AI Test Engineer – Multiple Agents
Why It Matters
These innovations are designed to:
- Accelerate your data quality initiatives.
- Reduce manual overhead.
- Deliver trustworthy, actionable insights.
Thanks for being part of our journey. We’re just getting started.
More updates coming soon!