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dashi

The essential base for spatial data

A cloud-native spatial data lake — layered, infused, re-usable. Ingests any OGR/GDAL-readable geodata (vector, raster, point cloud), standardises onto a common zone model (Landing → Processed → Curated → Enrichment → Serving), catalogs everything via STAC, and serves it through SQL, COG raster tiles, and OGC API – Tiles vector tiles.

Visible brand: dashi — the Japanese broth that forms the base of every layered dish.

Status

Maintainers: Marco Sciaini + Johannes Schlund · License: Apache 2.0 · Substrate: local k3s + GitHub Actions + Pages

Use cases: Earth observation, environmental analysis, urban planning, logistics, research — anywhere durable spatial storage with reproducible pipelines is needed.


Reading paths

  1. Executive summary — what and why in one page
  2. Context & motivation — the problem this solves
  3. Logical architecture — the zone model diagram
  4. Phase-0 roadmap — concrete next steps

Status dashboard

  • Decided ADRs (7)


    ADR-001 Objektspeicher · ADR-002 GeoParquet · ADR-003 COG · ADR-004 COPC · ADR-008 H3 · ADR-010 Prefect · ADR-011 k3s

  • In discussion (4)


    ADR-005 Iceberg vs Delta · ADR-006 technischer Katalog · ADR-007 Verarbeitungs-Engine · ADR-009 Serving-Komponenten

  • Open backlog


    See FEATURE-IDEAS — CI tooling, LLM metadata extraction, TiPG, MapLibre viewer, OIDC, and more.

  • License


    Apache 2.0 — open source, contributions welcome.


References


dashi is under active development. Specification chapters are in German (matches the original spec); navigation, code, and contributor docs are in English.