DataTrust – ETL Testing & Data Reconciliation Platform

DataTrust is RightData's comprehensive data quality and governance platform designed to help organizations achieve trusted, reliable data at scale. DataTrust provides end-to-end data quality management from data ingestion through consumption.

Automated Data Testing

DataTrust automates the process of testing data quality across your entire data estate. Define quality rules once and apply them consistently across all data sources, pipelines, and transformations. Support for 150+ pre-built quality checks plus custom rule creation ensures comprehensive coverage.

Proactive Quality Monitoring

Rather than waiting for downstream issues to surface, DataTrust continuously monitors data quality and alerts stakeholders before problems impact business decisions. Set up SLAs for quality metrics and receive notifications when thresholds are breached.

Data Quality Dimensions

DataTrust measures and tracks quality across all six dimensions:

• Completeness: Are all required fields populated?
• Accuracy: Does the data correctly represent reality?
• Consistency: Is data consistent across systems?
• Timeliness: Is data available when needed?
• Uniqueness: Are there unwanted duplicates?
• Validity: Does data conform to defined formats and ranges?

Migration and Modernization Support

DataTrust is particularly valuable during data migration and platform modernization projects. Compare source and target data to ensure complete and accurate migration, with detailed reconciliation reports and anomaly detection.

Integration Capabilities

DataTrust integrates with all major data platforms including Snowflake, Databricks, Redshift, BigQuery, Azure Synapse, and traditional databases. It supports both batch and streaming data quality checks, ensuring comprehensive coverage across your data landscape.