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Head-to-head · Spatial Databases

Tile38 vs MonetDB

  • Updated Oct 2026
  • Both researched from official sources
  • 3 checks side by side
Higher score Tile38 #5 in Spatial Databases 8.5/10 Free plan Free plan✓ 1 of 3 features Visit Tile38
MonetDB #8 in Spatial Databases 7.7/10 Free plan Free plan✓ 1 of 3 features Visit MonetDB

Tile38 leads on 0 checks, MonetDB on 0, and 3 are even. Who comes out ahead on the 3 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 planboth

Tile38 scores higher on our rubric for spatial databases: 8.5 against 7.7 out of 10; our editors rank them #5 and #8.

Tile38 is the better fit for real-time geofencing and location services. MonetDB is the better fit for analytical SQL with basic geospatial operations.

  • Tile38 fits best

    Real-time geofencing and location services

  • MonetDB fits best

    Analytical SQL with basic geospatial operations

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Side by side

Feature Tile38 8.5/10 Visit ↗ MonetDB 7.7/10 Visit ↗
At a glance
Editor score 8.5 7.7
Ranking #5 in Spatial Databases #8 in Spatial Databases
Best for Real-time geofencing and location services Analytical SQL with basic geospatial operations
Pricing model Free Free
Starting price Free plan Free plan
Free plan ✓ ✓
Free trial — —
Deployment Self-hosted Self-hosted
Platforms Windows, macOS, Linux Windows, macOS, Linux
Support Community, Docs Community, Docs
Integrations 8 integrations 9 integrations
Built for Small business, Mid-market, Enterprise Solo, Small business, Mid-market, Enterprise
Features Tile38 1/3 · MonetDB 1/3
Raster support Not checked yet Not checked yet
3D geometry support ✓ ✓
Coordinate transforms — Not checked yet
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 Point, Curve, LineString, Surface, Polygon, MultiPoint, MultiCurve, MultiLineString, MultiSurface, MultiPolygon, Geometry, GeomCollection, mbr
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
  • Free open-source database with column-oriented analytical processing
  • Parallel execution, query optimization, and full ACID transaction support
  • OGC-style geometry types and spatial operations through SQL
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
  • Self-hosted deployment requires local installation and administration
  • Geospatial coverage focuses on geometry types and operations
  • Spatial-types documentation is labeled outdated in the official guide
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 →

MonetDB is an open-source relational database management system for large-scale analytical workloads, with a SQL-compliant interface and full transaction support. It suits teams that want self-hosted analytical SQL on Windows, macOS, or…

Read the review →
  1. Tile38Spatial Databases 8.5Free plan
  2. MonetDBSpatial Databases 7.7Free plan

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

  • MonetDB — where it wins

    • Free open-source database with column-oriented analytical processing
    • Parallel execution, query optimization, and full ACID transaction support
    • OGC-style geometry types and spatial operations through SQL

    Where it doesn't

    • Self-hosted deployment requires local installation and administration
    • Geospatial coverage focuses on geometry types and operations
    • Spatial-types documentation is labeled outdated in the official guide

More comparisons

All spatial databases comparisons → · Full ranking →

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

Last updated · How we research and update