Why Risk Your Data Project
with Manual Testing?
iceDQ automates data testing across ETL pipelines, cloud migrations, data warehouses, BI, CRM, and ERP. Validate billions of records - no sampling, no manual effort.
Now AI-agent ready. Connect iceDQ to Claude, ChatGPT, or any AI platform via our MCP agent - build validation rules and run tests without leaving your AI tool.
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Trusted by Fortune 500 companies
Easy to Get Started
Low-Code/No-Code Testing That's Ready in Hours
Most data testing tools demand weeks of scripting before a single rule runs. iceDQ flips that. Prebuilt templates and AI-driven auto-rule generation get you to full coverage with minimal setup - no matter how large or complex your data environment is.
- Automate test generation across thousands of tables with one click
- Prebuilt rule templates for completeness, datatype, range, pattern, and more
- Powerful scripting available for advanced teams when needed
- Reusable test suites across Dev, QA, UAT, and Production
Enterprise-Grade Power
Advanced Validation, Reconciliation, and Scripting Rules
When simple checks are not enough, iceDQ goes deeper. Handle complex cross-system reconciliation, multi-condition validation logic, and advanced scripting rules that cover edge cases traditional tools miss entirely.
- Cross-platform reconciliation across source, staging, and target systems
- Advanced scripting for custom business logic and complex transformations
- Detect rare edge cases that sampling-based tools consistently miss
- 150+ connectors - on-premise, cloud, databases, files, and APIs
Full Visibility
Data Quality Dashboards That Show You Everything
Every test run. Every rule. Every failure. iceDQ surfaces the health of your data pipelines in real time through purpose-built dashboards - so your data teams, QA leads, and leadership all stay informed without digging through logs.
- Real-time test results and pass/fail rates across all pipelines
- Drill-down from summary to row-level failures in one click
- Audit-ready reports for compliance, SOX, FINRA, and GDPR teams
- Automated alerts and notifications when thresholds are breached
The Future of Data Testing
Use iceDQ from Any AI Platform via MCP Agent
iceDQ is built API-first and MCP-ready. Connect it to Claude, ChatGPT, or any MCP-compatible AI tool and interact with your data testing platform entirely in natural language - no login, no UI navigation required.
- Build validation rules by describing them in plain language to your AI tool
- Trigger test runs, check results, and investigate failures - all via chat
- Integrates with CI/CD pipelines via API-first design
- Works with Jenkins, Git, and your existing DataOps toolchain
Why Automate
Manual testing can't keep up
with modern data pipelines
See how iceDQ transforms data testing across every key dimension - from coverage to compliance readiness.
| Capability | Manual Testing | iceDQ Recommended |
|---|---|---|
| Record coverage | Sample only - 5 to 10% of data | ✓ Billions of records, 100% coverage |
| Setup and configuration | Weeks of scripting effort | ✓ Low-code, live in hours |
| Validation rule creation | Written by hand per table | ✓ AI auto-generated across all tables |
| Cross-system reconciliation | Limited and error-prone | ✓ Built-in, 150+ connectors |
| Reusability across environments | Scripts rebuilt per environment | ✓ Reusable across Dev, QA, UAT, Prod |
| CI/CD pipeline integration | Not supported | ✓ API-first, Jenkins and Git compatible |
| AI agent and MCP connectivity | Not available | ✓ Native MCP agent for any AI platform |
| Audit and compliance evidence | Manual documentation | ✓ Auto-generated audit trails |
Proven Results
Real outcomes from real deployments
Fortune 500 teams across industries have cut testing time, reduced costs, and achieved full data coverage with iceDQ.
Out-of-Box Checks
Accelerate testing with prebuilt
data reliability checks
Launch testing immediately with a library of prebuilt checks - no custom scripting required.
Trusted by Industry Leaders
What our customers say
We have standardized iceDQ for all our cloud migration. It has become the foundation of our data testing practice.
We probably saved 5,000 hours - approximately $500,000 - on the data migration project alone.
BMC was able to achieve 100% test coverage after iceDQ implementation. The improvement was immediate.
RuleGen helped Pfizer reduce IT testing duration from 24 months to 2 months. A transformation in how we work.
iceDQ enabled testers to keep up with the pace of developers and reduced testing time by half across all projects.
Not only did we achieve near-perfect quality, but we also saved significant time and money on the project.
Built-In Functionalities
Everything you need, out of the box
ParameterizationRules WizardData Integrity TestingData MonitoringBuilt-In Scheduler️User-Defined FunctionsFlat File Testing️SAP HANA Migration TestingReporting and AnalyticsSecurity - LDAP and SSOQuery DesignerRegression TestingSalesforce Migration TestingAlerts and Notifications️Integrated Key VaultReady to eliminate manual data testing?
Join Fortune 500 teams who have cut validation time by up to 70% with iceDQ.
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