connectRoots

connectRoots is a software framework designed to unify heterogeneous data sources by identifying common root entities and constructing a connected knowledge graph that reveals relationships and data lineage. The project emphasizes modularity and scalability, supporting databases, file systems, APIs, and streaming sources to enable graph-based analysis and insight across disparate datasets.

Key features of connectRoots include automatic entity resolution across sources, schema mapping, and provenance metadata to track how data is combined. It offers a pluggable connector API for databases, REST and GraphQL services, and common file formats. The graph processing engine supports traversal queries, subgraph extraction, and basic analytics, with a domain-specific language for expressing relationships and constraints. Additional tooling covers data transformation, deduplication, and change data capture to keep graphs current.

The architecture centers on a core orchestration layer, modular connectors, transformation pipelines, and storage adapters. connectRoots is designed to run in on-premises, cloud, or hybrid environments and to integrate with existing data governance and security controls. The system emphasizes reproducibility and auditability, maintaining provenance records and versioned graph snapshots. Interaction is provided through a REST API or GraphQL interface, with SDKs available for multiple programming languages to facilitate integration into existing workflows.

Applications span customer data integration, supply chain data fusion, and research data linking. In practice, connectRoots helps teams align records by root identities, resolve entity equivalence, and derive connected insights from combined datasets. The approach has attracted interest from organizations seeking unified views across silos, while successful deployment typically requires attention to data quality and governance considerations.