INFOFISCUS CDWTA: Automate Schema, Row Count, and Column Data Validation Across Your Data Warehouses
Data Warehouse migrations and implementations could be notoriously complex. Challenges like schema mismatches, row count discrepancies, and column-level data anomalies can derail even the best-laid data strategies. Traditional testing approaches—manual scripts or custom Python code—are often slow, error-prone, and dependent on specialized skills.
Meet the next-gen INFOFISCUS Cloud Data Warehouse Test Automation (CDWTA) tool—a secure, on-prem AI driven testing solution engineered by industry leaders with experience implementing over 300+ data warehouses. CDWTA empowers you to automate critical validation steps like Schema Comparison, Row Count Matching, and Column-Level Data Checks—with zero coding.
Key Features of INFOFISCUS CDWTA
Smart Schema Validation
A key feature of CDWTA, Smart Schema Validation compares source and target tables and ensures it is structurally aligned by automatically comparing table names, columns, data types, and formats. It detects discrepancies early to prevent ETL errors and maintain consistent, reliable data pipelines.
Precise Row Count Validation
INFOFISCUS CDWTA ensures data completeness and integrity by validating that source and target row counts match exactly. This helps detect discrepancies and ensures no data is lost, altered, or duplicated during migration or ETL. CDWTA ensures reliable data pipelines through precise row count comparisons.
Intelligent Column Data Validation
INFOFISCUS CDWTA performs automated, no-code column-level data validations to ensure data in each column matches between source and target. It detects mismatches, precision issues, and null anomalies, protecting data accuracy during migrations and transformations.
One-Click Testing with Smart Reports
Run comprehensive tests with just a click. Get detailed, comprehensive reports highlighting test status, failures, and missing data, all while tracking progress from a centralized dashboard.
Enterprise-Grade On-Prem Deployment
Built with a security-first design, CDWTA runs entirely within your environment—keeping 100% of your data under your control and meeting strict compliance needs.
Optimized for Leading Data Warehouses
Whether you’re migrating to Snowflake, Redshift, BigQuery, or Synapse, CDWTA offers platform-wide validation with centralized test management and built-in scalability.
Which Technologies Does It Support?
INFOFISCUS CDWTA is built to work seamlessly with the most widely-used data platforms:
Cloud Data Warehouses:
Snowflake, Amazon, Redshift, Google BigQuery, Azure Synapse
Source Databases:
Oracle, SQL Server, PostgreSQL, MySQL, Snowflake, Amazon Redshift, Google BigQuery, Azure Synapse
Benefits & Use Cases of Using CDWTA
- Accelerate Migrations – Rapidly validate large datasets and schema transformations for faster project completion.
- Improve Data Accuracy – Eliminate human errors with automated integrity checks at every stage.
- Ensure Compliance – Maintain strict control over data validation with on-prem, secure execution.
- Empower Non-Technical Teams – Anyone can run tests—no Python, no scripts, no stress.
- Simplify Testing at Scale – Centralized test execution and reporting make managing large-scale validations a breeze.
Why Should You Use INFOFISCUS CDWTA?
- Reduce Testing Time by 70% – Save weeks of manual effort.
- Ensure 100% Confidence in Data Integrity – Catch issues before they impact your business.
- Deploy Quickly, Validate Instantly – No installation complexities or long setup times.
- Scale with Your Business – Easily supports enterprise-scale environments and massive datasets.
- Multi-User Environment – Role-based access for seamless team collaboration on testing and validation.
Take the Leap Toward Smarter Testing
INFOFISCUS CDWTA – The Smarter, Faster, and More Secure Way to Validate Your Data Warehouse Migrations.
Stop relying on manual scripts and legacy processes. Unlock automation, precision, and peace of mind with CDWTA—the industry’s most powerful no-code Cloud Data Warehouse Test Automation tool.
Ready to See It in Action? Get a Free Demo Today!
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Frequently Asked Questions
INFOFISCUS CDWTA (Cloud Data Warehouse Testing Automation) is a code-free, on-prem testing solution that automates Schema Validation, Row Count Comparison, and Column Data Validation across data warehouses.
Manual validation is time-consuming, error-prone, and requires coding skills. CDWTA automates the process, ensuring fast, accurate, and scalable data validation, reducing testing time by up to 70%.
CDWTA performs automated integrity checks across source and target systems, detecting schema mismatches, missing columns, row count discrepancies, and data anomalies in real time.
No! CDWTA is a completely code-free solution designed for IT teams and business users. No Python or SQL scripting is required—just a few clicks to execute tests and generate reports.
CDWTA is optimized for large-scale data warehouses and supports leading platforms like Snowflake, Redshift, BigQuery, and more.
By automating repetitive validation tasks, CDWTA eliminates manual effort, reduces human errors, and accelerates Data Warehouse implementations, ensuring faster project delivery.
Yes! CDWTA is an on-premises solution designed for enterprises with strict compliance and security requirements. It ensures full control over your data without external movement.
Yes! CDWTA provides detailed reports on test status, discrepancies, missing data, and schema mismatches, allowing you to track progress in a centralized repository.
CDWTA streamlines migrations by ensuring data accuracy, consistency, and completeness between legacy and new Data Warehouse environments, reducing risks and accelerating go-live.
Simply request a demo to see how INFOFISCUS CDWTA can transform your Data Warehouse testing with fast, accurate, and code-free automation.
