4D Real-Time Visualization

Five Levels of Detail

Seamlessly zoom from a galactic view of your entire data network down to individual entity behavior — with the database automatically adjusting what it sends based on your current viewport.

Level 1 — Galactic

Network-wide overview

See the entire deployment as a constellation of clusters. Each dot represents a node or region. Color encodes aggregate health. Size encodes data volume. Anomalous regions pulse to draw attention. Millions of entities reduced to a comprehensible overview.

Level 2 — Cluster

Domain-level behavioral map

Zoom into a cluster to see entity types as behavioral neighborhoods. Financial entities cluster separately from IoT sensors. Cross-domain correlations appear as visible bridges between neighborhoods. Regime changes ripple visually through connected domains.

Level 3 — Fleet

Entity population view

Individual entities become visible as points in behavioral space. Similar entities cluster naturally. Outliers are immediately obvious. Trajectory trails show recent behavioral movement. Color encodes current regime; brightness encodes drift rate.

Level 4 — Entity

Single entity deep-dive

Focus on one entity to see its full behavioral history as a 3D trajectory through time. Regime boundaries appear as color transitions along the path. Anomaly events are marked as inflection points. Correlated entities from other domains appear as parallel trajectories for comparison.

Level 5 — Core

Raw vector inspection

The deepest zoom level exposes individual vector dimensions, compression segment boundaries, drift measurements, and storage tier placement. Designed for debugging and performance analysis. Every data point in the system is inspectable at this level.

Entity-to-Visual Mapping

Each entity type has a native visual representation. Vehicles render as trajectories on maps. Sensors render as time-series sparklines. Neural units render as network graphs. The visualization adapts to your data, not the other way around.

Spatial Entities

Map-based trajectory rendering

Vehicles, vessels, aircraft, and transit entities render on geographic maps with trajectory trails, speed-encoded color gradients, and predictive path projections. Geofences and proximity alerts overlay as translucent regions.

Temporal Entities

Time-series visualization

Sensors, financial instruments, and network metrics render as interactive time-series with regime-colored segments. Anomaly markers, drift indicators, and compression boundaries are visible as overlays. Scrub through time to replay behavioral history.

Network Entities

Force-directed graph rendering

Neural units, social agents, NPC relationships, and device topologies render as interactive force-directed graphs. Edge thickness encodes connection strength. Node size encodes activity level. Cluster membership is visually grouped by domain.

Multi-Band Data Feed

The visualization system does not poll the database. It subscribes to a multi-band streaming feed that delivers exactly the data needed for the current viewport at the current zoom level.

Streaming

Viewport-aware data streaming

As you pan and zoom, the visualization client updates its subscription. The database streams only the entities visible in the current viewport, at the appropriate level of detail. Zoomed out: aggregate summaries. Zoomed in: individual vectors. No over-fetching, no wasted bandwidth.

WebSocket-based real-time streaming
Automatic subscription adjustment on viewport change
Delta-only updates for visible entities
Configurable update frequency per zoom level

Bands

Priority-based data channels

Data is delivered across multiple priority bands. Critical events (anomalies, regime changes, alerts) arrive on the high-priority band with minimal latency. Routine updates (position changes, metric updates) arrive on the standard band. Background data (historical context, pre-fetched neighbors) arrives on the low-priority band.

High band: anomalies, alerts, regime changes (<10ms)
Standard band: entity updates, metric changes (<100ms)
Low band: historical context, pre-fetch (<1s)
Bands are multiplexed over a single WebSocket connection

Every Rendering Modality

The same data substrate powers every visualization path — from a browser dashboard to immersive VR. No format conversion, no separate data pipelines, no sync issues.

Web & Desktop

Browser-native 2D and 3D

WebGL and Canvas-based rendering directly in the browser. No plugins, no downloads. Interactive 3D visualizations with hardware-accelerated rendering on any modern device. Desktop applications receive the same data feed for native GPU rendering.

AR / VR

Immersive spatial data exploration

Walk through your data in VR or overlay it on the physical world in AR. Entity trajectories become physical paths you can follow. Anomalies manifest as spatial disruptions. Cross-domain correlations appear as visible bridges between data neighborhoods floating in space around you.