Sovereign foundation
Bring temporal graph, time-series, geospatial, vector and full-text workloads together with backend application logic for connected AI systems and digital twins.
Status: Roadmap. This application is being developed for open-source release. Its repository, OSI-approved software licence, model-specific terms, version, provenance and supported deployment modes will be published with the applicable release.
Planned replacement scope
Roadmap scope: designed to replace or consolidate fragmented combinations of graph, time-series, vector, full-text and geospatial databases together with selected integration sidecars and backend logic. Suitability would be established workload by workload against durability, recovery, scale, query and interoperability criteria.
Core capabilities
Exact coverage, deployment requirements and limitations are documented for the selected version and use case.
Represent entities, events and changing connections so applications can examine present and past state.
Combine graph, time-series, geospatial, semantic and full-text retrieval in one foundation.
Place backend logic, scheduling, authentication and service interfaces close to governed data.
Expose authenticated interfaces and compute embeddings inside the customer-controlled environment where configured.
Product boundary
Unified AI Native Database persists and queries data and authorised conversation state. Model Runtime performs inference. The AI Assistants layer reasons and acts. Applications own their workflows.
Adoption outcome
Review data models, workloads, recovery needs and integration boundaries against a versioned technical deployment.
Sovereignty matrix
Product-specific answers are established through the deployment architecture and dated evidence record.
Connected Roadmap capabilities
Every connected capability shown here is part of the current Roadmap.
A practical first step
Review data models, workloads, recovery needs and integration boundaries against a versioned technical deployment.
