Key Features
Comprehensive Mismatch Detection:
Identifies and reports all types of data discrepancies, including:
- Value mismatches – Fields with differing values between source and target.
- Missing records – Records present in the source but missing from the target.
- Extra records – Records present in the target but not in the source.
- Failed transformations – Data that was not transformed according to defined rules.
- PII masking failures – Sensitive fields that are not properly masked in the target system.
User-Defined and Configurable Parameters:
- Allows users to configure verification parameters and adjust comparison behavior to fit different use cases.
Selective Data Comparison:
- Enables users to choose which tables, records, and fields to verify, providing flexibility and control.
User-Friendly Web-Based Execution:
- Supports task creation, execution, and monitoring through a web-based UI, with no need for scripts or command-line operations.
Parallel Data Verification:
- Improves performance by verifying multiple tables concurrently and processing records in parallel within each table.
Post-Transformation Data Comparison:
- Verifies data after transformation logic has been applied, ensuring transformations were executed correctly.
Extensible Bucket Distribution Logic:
- Uses a default method to distribute records across parallel buckets and allows custom logic when needed.
Real-Time Execution Monitoring:
- Provides visibility into task progress with table-level and bucket-level execution details.
Multi-Level Results Summarization:
- Displays clear hierarchical results, from high-level summaries to detailed record and field views.
Summary Results Export:
- Allows exporting results as PDF reports for table summaries and CSV files for record- and field-level analysis.
Operational and Historical Tracking:
- Stores execution metadata and historical results in PostgreSQL for auditing and analysis
Key Features
Comprehensive Mismatch Detection:
Identifies and reports all types of data discrepancies, including:
- Value mismatches – Fields with differing values between source and target.
- Missing records – Records present in the source but missing from the target.
- Extra records – Records present in the target but not in the source.
- Failed transformations – Data that was not transformed according to defined rules.
- PII masking failures – Sensitive fields that are not properly masked in the target system.
User-Defined and Configurable Parameters:
- Allows users to configure verification parameters and adjust comparison behavior to fit different use cases.
Selective Data Comparison:
- Enables users to choose which tables, records, and fields to verify, providing flexibility and control.
User-Friendly Web-Based Execution:
- Supports task creation, execution, and monitoring through a web-based UI, with no need for scripts or command-line operations.
Parallel Data Verification:
- Improves performance by verifying multiple tables concurrently and processing records in parallel within each table.
Post-Transformation Data Comparison:
- Verifies data after transformation logic has been applied, ensuring transformations were executed correctly.
Extensible Bucket Distribution Logic:
- Uses a default method to distribute records across parallel buckets and allows custom logic when needed.
Real-Time Execution Monitoring:
- Provides visibility into task progress with table-level and bucket-level execution details.
Multi-Level Results Summarization:
- Displays clear hierarchical results, from high-level summaries to detailed record and field views.
Summary Results Export:
- Allows exporting results as PDF reports for table summaries and CSV files for record- and field-level analysis.
Operational and Historical Tracking:
- Stores execution metadata and historical results in PostgreSQL for auditing and analysis
