Why Risk Your Multi-Million Dollar Migration Project
Migrate to any cloud or on-premise database with confidence. iceDQ automates end-to-end database migration testing with no sampling and no manual effort. Instantly validate schemas, row counts, and data migration reconciliation across any data source.
End-to-end testing automation designed for complex data pipeline testing.
Seamlessly connect and test data across on-premise systems and cloud platforms like Snowflake using iceDQ’s 150+ prebuilt connectors.
iceDQ’s powerful capabilities allow you to handle complex test logic across any source or target system.
Design complex scenarios and validations to detect rare edge cases and data mismatches that traditional sampling methods miss.
Accelerate testing with prebuilt rule templates for completeness, pattern checks, date validation, and more. No coding required.
Leverage AI-driven auto rule generation to reduce manual setup and ensure full coverage across tables, rows and columns.
Reuse test cases across dev, QA, and production environments to standardize data testing and speed up regression testing cycles.
We have standardized iceDQ for all our cloud migration.
We probably saved 5000 hours ($500,000) on the data migration project.
BMC was able to achieve 100% test coverage after iceDQ implementation.
RuleGen utility helped Pfizer reduce the duration of IT testing from 24 months to 2 months.
iceDQ has enabled testers to keep up with the pace of developers. And reduced the testing time by half.
Not only did we achieve near perfect quality, but we also saved time and money on the project.
Accelerate Testing with Prebuilt Data Reliability Checks
Runs complex test conditions using custom expressions.
Validates for NULLs, spaces, or
empty values.
Verifies if the attribute contains only the specified list of values.
Checks if the string value can be cast to a specific data type.
Ensures values fall within a specified range.
Validates string values against selected date formats
Matches values against a defined regular expression.
Detects duplicates based on a combination of one or more attributes.
Checks the length of each attribute value.
Our team would love to hear from you.
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