Unipop
A data federation and virtualization engine that models data from multiple sources as a virtual graph, queryable via Gremlin.
What is Unipop?
Unipop is a data federation and virtualization engine that models data from multiple sources—such as RDBMS and NoSQL stores—as a virtual graph. It solves the problem of analyzing disparate data without migrating or restructuring it by exposing a unified graph query interface using Gremlin, SQL, or SPARQL.
Developers and data engineers who need to integrate and query data from multiple heterogeneous sources without restructuring their existing data infrastructure.
Developers choose Unipop because it provides the analytical power of graph databases without the need for data migration, leveraging the flexible and extensible Apache TinkerPop framework for querying and optimization.
Overview
Data Integration Graph
Use Cases
Best For
- Integrating data from multiple RDBMS and NoSQL sources into a unified graph model
- Querying disparate data sources using Gremlin without restructuring existing data
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