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Prototype2025

SENTINEL

An open-source geospatial intelligence platform joining time-series, graph and map data in one view.

MapLibre GLDeck.glPostGISTimescaleDBNeo4j

The question

What breaks first when you put time-series, graph and geospatial data on the same screen?

How it works

INGESTfeeds and imagery01STOREpostgis, timescale02RELATEneo4j entity graph03RENDERdeck.gl layers04

Where the time went

effort
  • Query and storage46%
  • Render performance34%
  • Ingest pipelines20%

How it progressed

relative momentum over the build

What I found

The query layer. Three storage engines is two too many until the access patterns are actually known.

Next experiment

COVID-19 X-ray Detection

$./next-step

Most of these started as a question I could not answer by reading.

Send me a hard one.