ididx

Ididx is a cross-language indexing framework designed to store, normalize, and query identifiers across large datasets. It focuses on performance, scalability, and robust deduplication, making it suitable for data integration, catalog management, and identity resolution tasks.

Overview of architecture: a modular core consisting of an index engine, a normalization layer, and a pluggable storage backend. Clients interact through language bindings. The storage layer supports in-memory, on-disk, and distributed backends. An ingestion pipeline handles both batch imports and streaming updates, ensuring the index remains current. A validator/serializer plugin system allows custom rules for identifier formats and metadata serialization.

Key features: normalization and canonicalization of identifiers; exact and range queries; support for composite keys; incremental indexing; transactional updates; export/import of index snapshots; and role-based access controls in some deployments. The design emphasizes interoperability across diverse data sources and environments.

Use cases: identity matching across systems, deduplication of customer records, linkage of product identifiers, data governance and lineage, fraud detection. It is designed to be language-agnostic, with client libraries available for several languages.

History and licensing: ididx was first released in 2020 by the ididx project and has since evolved through community-led releases. It is distributed under the MIT license and accepts external contributions via standard GitHub workflows.