INFOFISCUS Cloud Data Warehouse Test Automation Tool

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.