#1 Data Testing Automation Tool

★★★★★

5.0

Capterra

★★★★★

4.7/5

Why Risk Your Data Project with Manual Testing?

iceDQ automates data testing across ETL, cloud migrations, data lakes, warehouses, BI, CRM, and ERP with no sampling and no manual effort. It helps validate transformations, test billions of records, and catch issues before they reach production.

Trusted by Fortune 500 companies

Why Choose iceDQ?

End-to-end data testing automation designed for complex data pipeline testing.

Cross-Platform Data Testing

Connect and validate data across source, staging, and target systems, whether on-premise or cloud, using iceDQ's 150+ ready-to-use connectors.

Advanced Validation and Reconciliation

iceDQ's powerful capabilities allow you to handle complex test logic across any source or target system, ensuring comprehensive data integrity testing.

Catch Corner Cases

Design complex scenarios and validations to detect rare edge cases and data mismatches that traditional sampling methods miss.

CI/CD and DataOps Integration

Trigger automated ETL testing in your CI/CD pipeline using API-first design and connect with tools like Jenkins or Git.

Auto-Rule Generation

Automatically generate rules across thousands of tables and columns to ensure full coverage with minimal setup.

Reusable Test Suites

Reuse test cases across Dev, QA, and production environments to standardize data testing and speed up regression testing cycles.

Out-of-Box Checks

Accelerate Data Testing with Prebuilt Data Reliability Checks

Custom

Complex conditions using custom expressions

Completeness

Validates for NULLs, spaces, or empty values

Contains

Verifies attribute contains only specified values

Datatype

Checks if value can be cast to a specific type

Range

Ensures values fall within a specified range

Date

Validates strings against selected date formats

Pattern

Matches values against a regular expression

Duplicate

Detects duplicates across one or more attributes

Length

Checks the length of each attribute value

Reconciliation

Cross-system record matching and validation

Features

Easy, Low-Code/No-Code Testing

Automate test generation with minimal effort
Powerful scripting for complex scenarios, with rule-based validation and reconciliation

High-Performance, Scalable Testing

Achieve million-record-per-second testing speeds
Flexible deployment on-prem or in the cloud with parallel and cluster processing

Seamless Connectivity and Integration

Connect to over 150 databases, cloud systems, and file sources
Integrate seamlessly with test case management and ticketing systems

Accelerate DataOps with API-First Design

Fully compatible with CI/CD pipelines
Automate regression testing and enable end-to-end testing for DataOps

Benefits

See the transformation iceDQ delivers across real data testing projects

Data Testing Objects Validated

3,000

↓

5,000

67% more coverage

Data Test Automation Level

10% - 20%

↓

95%

~5x improvement

Data Test Coverage

Less than 80%

↓

100%

Full coverage achieved

️

Data Testing Timeline

24 Months

↓

5 Months

79% faster delivery

Data Testing Team Size

10 People

↓

5 People

50% team reduction

Data Testing Regression Cycles

3 Months

↓

1 Month

3x faster cycles

Trusted by Industry Leaders

We have standardized iceDQ for all our cloud migration.

Senior Director of Advanced Analytics, Albertsons

We probably saved 5,000 hours ($500,000) on the Data Migration Project.

Head of Quality Assurance,
PepsiCo

BMC was able to achieve 100% test coverage after iceDQ implementation.

Director of Business Analytics, BMC Software

RuleGen utility helped Pfizer reduce the duration of IT testing from 24 months to 2 months.

Head of Data Governance,
Pfizer

iceDQ has enabled testers to keep up with the pace of developers and reduced the testing time by half.

Director of Quality Assurance,
HealthFirst

Not only did we achieve near perfect quality, but we also saved time and money on the project.

Director of Quality Engineering, Cencora

Built-In Functionalities

Parameterization

Rules Wizard

Data Integrity Testing

Data Monitoring

Built-In Scheduler

️User-Defined Function

Flat File Testing

️SAP HANA Migration Testing

Reporting and Analytics

Security - LDAP and SSO

Query Designer

Regression Testing

Salesforce Migration Testing

Alerts and Notifications

️Integrated Key Vault

Ready to Eliminate Manual Data Testing?

Try it for yourself today

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Frequently Asked Questions

What is automated data testing and how does iceDQ do it?

Automated data testing is the process of validating data accuracy, completeness, and consistency across systems without manual effort. iceDQ automates end-to-end data testing across ETL pipelines, cloud migrations, data warehouses, BI reports, CRM, and ERP systems - testing billions of records at million-record-per-second speeds with no sampling and no manual scripting required.

How is iceDQ different from other data testing automation tools?

Most data testing tools rely on database-centric processing that bottlenecks at scale. iceDQ uses an in-memory engine that validates 100% of data - not just 5-10% samples - with AI-driven auto-rule generation that reduces test creation from weeks to hours. Organizations typically replace 2-4 specialized tools with iceDQ while cutting testing time by up to 70%.

Can iceDQ handle data integrity testing across cloud and on-premises environments?

Yes. iceDQ supports on-premises, public cloud, private cloud, and hybrid environments with 150+ native connectors. It performs data integrity testing across databases, flat files, APIs, cloud data lakes, and BI platforms - validating data wherever it lives without loading it into a separate processing engine.

Does iceDQ support end-to-end data pipeline testing?

Yes. iceDQ validates data at every stage of the pipeline - from source ingestion through transformation to the target system. It checks schema, row counts, transformation logic, referential integrity, duplicates, and data quality rules in a single platform, giving teams full visibility across the entire data pipeline testing lifecycle.

How quickly can we get iceDQ up and running?

Most organizations complete a proof of concept within 2-4 weeks and full deployment within 30 days. Every iceDQ customer receives a dedicated Forward Deployed Engineer (FDE) for 3 months at no additional cost - who configures the platform, builds initial test cases, and gets your team productive fast.

Does iceDQ integrate with CI/CD pipelines and test management tools?

Yes. iceDQ is built API-first with native integrations for Jenkins, Azure Pipelines, GitHub Actions, Bamboo, and Git for continuous data testing automation. Test results push directly to JIRA, Xray, HP ALM, Azure Test Plans, and ServiceNow for end-to-end traceability.

Is there a limit on data volume for testing?

No. iceDQ has no data volume limits. It uses parallel processing and Kubernetes cluster support to scale with your environment - whether you're testing millions or billions of records across a single table or thousands of tables simultaneously.