Overview of GeomDB for SpaceTech & Satellite Telemetry
**Hash-Range M6 Hybrid Sharding** GeomDB natively distributes the load using `Hash(entity_id)` + `Range(timestamp)`, uniformly scattering continuous telemetry across the cluster while preserving perfect time ordering.
**Quadtemporal Architecture** Native multi-dimensional time tracking separates *when the satellite recorded it* (valid-time) from *when mission control received it* (system-time) and *when autonomous systems acted on it*.
**Unified OmniTuple & Identity Anchors** GeomDB processes 16 modalities natively. A single SQL query seamlessly joins M2 (Vector imagery embeddings) with M6 (telemetry timestamps) and M3 (relational metadata).
**O(1) Iceberg Manifest Hierarchy** GeomDB implements an advanced manifest tree for petabyte-scale workloads, progressively pruning metadata levels to eliminate 99% of segment reads before execution.
Deep Technical Specification
Custom SIMD-native segment layout with zero-copy memory-mapped access and pre-compiled typed kernels, bypassing generic runtime dispatch.
Delaunay-triangulated, stack-resident working sets providing mathematical Lyapunov stability proofs for cost-weighted eviction.
64-byte OmniTuple unified header with cryptographic O(1) root comparison and per-entry integrity verification.
D11 cell-level consensus combined with Merkle CRDT anti-entropy reconciliation mechanisms.