databaseforval

Databaseforval is a database management framework designed to support value-based data governance and validation across distributed data environments. It combines a storage engine with a validation layer, enabling administrators and applications to enforce data quality rules, apply schemas at ingest, and automate cleansing or rejection of non-conforming records. A data provenance subsystem records data lineage, transformations, and historical values to support audits, reproducibility, and regulatory compliance. The system also offers time-travel capabilities by maintaining versioned records and immutable snapshots.

Architecture and core components: The framework is modular and pluggable, with a storage backend that can connect to traditional relational stores, data lakes, or object stores. A validation engine executes user-defined quality rules, expressed in a domain-specific language, at data ingest and during updates. A provenance graph captures lineage, including source, transformations, and operators, while an access control layer enforces policy-based permissions. The query layer provides a SQL-like interface for data retrieval, complemented by APIs and connectors for ETL pipelines. Validation outcomes influence data visibility according to governance policies, and auditing events are generated for compliance tracing.

Origins and usage: Databaseforval emerged from research and industry collaboration focused on integrating data quality, governance, and traceability. It has been deployed in pilot environments within regulated industries such as finance and healthcare, as well as in data science laboratories exploring reproducible analytics. The project emphasizes interoperability through connectors to popular databases, data lakes, message queues, and streaming platforms, aiming to reduce the friction of enforcing data quality across heterogeneous ecosystems.