Apache Griffin
Open SourceOpen source data quality solution for batch and streaming big data
About Apache Griffin
Apache Griffin is an open source data quality solution designed to support both batch and streaming data environments. It provides a unified process to measure and monitor data quality from multiple perspectives, enabling organizations to build trusted data assets and enhance confidence in their business decisions. The platform offers a comprehensive data quality domain model addressing common data quality challenges such as accuracy, completeness, timeliness, and profiling.
Intended for data scientists, analysts, and enterprise data teams, Apache Griffin allows users to define custom data quality criteria using a domain-specific language (DSL). This flexibility enables organizations to tailor data quality rules to their unique requirements. The solution operates in three steps: defining data quality requirements, measuring data quality through ingestion and computation, and reporting metrics to designated destinations. Despite its retirement status, Apache Griffin remains a valuable tool for enterprises seeking an open source approach to data governance and quality assurance.
Key Capabilities
- ✓Unified data quality measurement for batch and streaming
- ✓Customizable data quality criteria via DSL
- ✓Comprehensive data quality domain model
- ✓Automated data quality metrics reporting
- ✓High performance data quality computation
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