INFOFISCUS Cloud Data Warehouse Testing
Automated Cloud Data Warehouse Testing Made Easy
# DevOps AssistantWhat is INFOFISCUS Cloud Data Warehouse Testing?
Infometry’s INFOFISCUS Cloud Data Warehouse Test Automation (CDWTA) Tool is a no-code, AI-driven solution that automates schema, row count, and column-level data validation across modern and legacy platforms. Built by experts behind 300+ data warehouse projects, it eliminates manual testing through one-click intelligent validations. CDWTA ensures end-to-end data integrity during migrations and ETL, supporting Snowflake, Redshift, BigQuery, Synapse, and more.
Problem
Users manually test data warehouse schemas and data integrity, which is time-consuming, error-prone, and inefficient during migrations/ETL processes.
Solution
A no-code, AI-driven cloud data warehouse testing tool that automates schema, row count, and column-level validations across platforms like Snowflake and BigQuery with one-click intelligent validations.
Customers
Data engineers, QA teams, and IT managers overseeing data warehouse migrations or ETL processes in enterprises.
Unique Features
Built by experts behind 300+ data warehouse projects, supports multi-platform validation (Snowflake, Redshift, BigQuery), and ensures end-to-end data integrity during migrations.
User Comments
Simplifies complex validations effortlessly
Reduces migration risks significantly
Saves hours of manual testing
Intuitive no-code interface
Reliable for critical data pipelines
Traction
Featured on ProductHunt, built by a team with 300+ data warehouse project experience, supports enterprise platforms like Snowflake and BigQuery
Market Size
The global data validation and testing market is projected to reach $1.5 billion by 2025 (MarketsandMarkets).
