Finderiin

Finderiin is a data discovery platform that enables search across diverse data stores, including relational databases, data lakes, file systems, and application repositories. It focuses on semantic indexing, federated search, and explainable ranking to help users locate relevant data and understand why results were returned.

The project originated as an open-source initiative in the early 2020s, with contributions from data engineering and research communities. Since its inception, Finderiin has evolved through several releases that expand connectors, indexing pipelines, and governance features.

The architecture combines a graph-based metadata index, a pluggable data connector framework, and a query engine that supports structured and natural-language queries. The index stores metadata such as schema, lineage, tags, and access controls, while the query layer can perform cross-source searches and return ranked results with provenance information.

Data governance and access control features support role-based permissions and policy enforcement.

Typical use cases include data discovery for analytics projects, lineage verification, and compliance checks. Finderiin is used by data teams, research labs, and enterprises seeking to reduce time spent locating datasets and to improve data literacy within organizations. The project emphasizes interoperability and open standards, and it maintains a community-driven development model with documentation, tutorials, and issue tracking.

See also: data catalog, enterprise search, data governance.