DQLabs Named
A Visionary
in the 2025 Gartner® Magic Quadrant™ For Augmented Data Quality Solutions
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Ensure Effective Data Quality Management in IBM Db2 for i
Overview
IBM Db2 for i (formerly Db2 iSeries) is a highly integrated relational database management system built into the IBM i operating system. Designed for business-critical applications, it offers scalability, security, and high availability for enterprises running on IBM Power Systems. However, ensuring consistent data quality in Db2 for i can be challenging, as it lacks built-in proactive monitoring, anomaly detection, and automated governance capabilities.
Integrating DQLabs with IBM Db2 for i brings advanced data quality and observability to IBM i environments, ensuring that business-critical applications operate with trusted data. DQLabs continuously monitors Db2 for i tables, detecting anomalies in transactional records, customer data, and financial entries to prevent inconsistencies from impacting downstream processes. With automated data profiling, organizations can assess data completeness and accuracy across files, journals, and physical/ logical tables in Db2 for i. DQLabs enforces business rules to validate data integrity for high-volume transactional records in IBM Db2 for i, flagging discrepancies before they impact downstream processes and analytics. Additionally, lineage tracking provides full visibility into data movement and transformations across IBM i workflows, supporting compliance with regulatory standards. By embedding real-time data quality checks into Db2 for i environments, organizations can enhance operational efficiency, reduce errors in reporting, and ensure reliable data for analytics and decision-making.
Data Quality and Observability for
IBM Db2 for i
Seamlessly Integrate with your
Modern Data Stack
