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Head-to-head · Spatial Databases

Tile38 vs SedonaDB

  • Updated Oct 2026
  • Both researched from official sources
  • 4 checks side by side
Higher score Tile38 #5 in Spatial Databases 8.5/10 Free plan Free plan✓ 1 of 3 features Visit Tile38
SedonaDB #6 in Spatial Databases 8.3/10 Open source ✓ 3 of 3 features Visit SedonaDB

Tile38 leads on 0 checks, SedonaDB on 1, and 3 are even. Who comes out ahead on the 4 yes/no, price and count checks where we have data for both products. The editor score weighs everything else too.

Our verdict

  • Highest scoreTile38 · 8.5/10
  • Free planonly Tile38
  • Most featuresSedonaDB · 3 of 3

Tile38 scores higher on our rubric for spatial databases: 8.5 against 8.3 out of 10; our editors rank them #5 and #6.

SedonaDB offers coordinate transforms; Tile38 doesn't.

Tile38 is the better fit for real-time geofencing and location services. SedonaDB is the better fit for modern SQL and Python spatial analytics.

  • Tile38 fits best

    Real-time geofencing and location services

  • SedonaDB fits best

    Modern SQL and Python spatial analytics

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Side by side

Feature Tile38 8.5/10 Visit ↗ SedonaDB 8.3/10 Visit ↗
At a glance
Editor score 8.5 8.3
Ranking #5 in Spatial Databases #6 in Spatial Databases
Best for Real-time geofencing and location services Modern SQL and Python spatial analytics
Pricing model Free Free
Starting price Free plan Open source
Free plan ✓ (best) Not checked yet
Free trial — —
Deployment Self-hosted Self-hosted
Support Community, Docs Community, Docs
Integrations 8 integrations 5 integrations
Built for Small business, Mid-market, Enterprise Solo, Small business, Mid-market
Features Tile38 1/3 · SedonaDB 3/3
Raster support Not checked yet ✓ (best)
3D geometry support ✓ ✓
Coordinate transforms — ✓ (best)
Specs
Deployment model Self_hosted Self_hosted
Query interface Not checked yet Sql
Spatial data types point, bounding box, geohash, GeoJSON, XYZ tile, QuadKey, sector geometry, geography, raster
Our review
Pros
  • Real-time geofencing with enter, exit, inside, outside, and cross detection
  • Supports GeoJSON, geohashes, bounding boxes, XYZ tiles, and QuadKeys
  • Connects with Kafka, NATS, MQTT, RabbitMQ, Redis, and other systems
  • SQL and Python DataFrame APIs for spatial workflows
  • Spatial joins, nearest-neighbor queries, indexing, and optimization
  • GeoParquet, GeoArrow, and GeoPandas interoperability
Cons
  • Self-hosted deployment requires operational responsibility
  • Coordinate transformations are not included in its listed capabilities
  • Its in-memory design may not suit every persistence requirement
  • Single-node deployment limits its scale profile
  • Self-hosted deployment requires managing the runtime environment
  • Designed for small-to-medium geospatial analytics
Our verdict

Tile38 is an open-source, in-memory geospatial database and geofencing server for applications that track locations and evaluate spatial relationships. It is aimed at teams building location services, proximity features, asset tracking,…

Read the review →

SedonaDB is an open-source, self-hosted, single-node analytical database engine for spatial analytics. Developed as part of Apache Sedona, it treats spatial data as a first-class concern and supports both SQL querying and a Python…

Read the review →
  1. Tile38Spatial Databases 8.5Free plan
  2. SedonaDBSpatial Databases 8.3Open source

Strengths and trade-offs

  • Tile38 — where it wins

    • Real-time geofencing with enter, exit, inside, outside, and cross detection
    • Supports GeoJSON, geohashes, bounding boxes, XYZ tiles, and QuadKeys
    • Connects with Kafka, NATS, MQTT, RabbitMQ, Redis, and other systems

    Where it doesn't

    • Self-hosted deployment requires operational responsibility
    • Coordinate transformations are not included in its listed capabilities
    • Its in-memory design may not suit every persistence requirement

  • SedonaDB — where it wins

    • SQL and Python DataFrame APIs for spatial workflows
    • Spatial joins, nearest-neighbor queries, indexing, and optimization
    • GeoParquet, GeoArrow, and GeoPandas interoperability

    Where it doesn't

    • Single-node deployment limits its scale profile
    • Self-hosted deployment requires managing the runtime environment
    • Designed for small-to-medium geospatial analytics

More comparisons

All spatial databases comparisons → · Full ranking →

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

Last updated · How we research and update