GeoMesa vs Tile38

GGeoMesa9.2Visit Tile388.5Visit

Higher score G GeoMesa #2 in Spatial Databases 9.2/10 Open source ✓ 2 of 3 features Visit GeoMesa

vs

Tile38 #5 in Spatial Databases 8.5/10 Free plan Free plan✓ 1 of 3 features Visit Tile38

• GeoMesa fits best

  Distributed spatio-temporal workloads

• Tile38 fits best

  Real-time geofencing and location services

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Side by side

Feature	GGeoMesa 9.2/10 Visit ↗	Tile38 8.5/10 Visit ↗
At a glance
Editor score	9.2	8.5
Ranking	#2 in Spatial Databases	#5 in Spatial Databases
Best for	Distributed spatio-temporal workloads	Real-time geofencing and location services
Pricing model	Free	Free
Starting price	Open source	Free plan
Free plan	Not checked yet	✓ (best)
Free trial	—	—
Deployment	Self-hosted	Self-hosted
Support	Email, Community, Docs	Community, Docs
Integrations	13 integrations	8 integrations
Built for	Mid-market, Enterprise	Small business, Mid-market, Enterprise
Features GeoMesa 2/3 · Tile38 1/3
Raster support	Not checked yet	Not checked yet
3D geometry support	✓	✓
Coordinate transforms	✓ (best)	—
Specs
Deployment model	Self_hosted	Self_hosted
Query interface	Sql	Not checked yet
Spatial data types	point, multipoint, linestring, multilinestring, polygon, multipolygon, geometry collection, geometry	point, bounding box, geohash, GeoJSON, XYZ tile, QuadKey, sector
Our review
Pros	Specialized Z2, Z3, XZ2, and XZ3 spatio-temporal indexes Distributed spatial queries across point, line, and polygon data Kafka streaming plus Spark and Spark SQL analytics	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
Cons	Self-hosted deployment requires teams to operate the environment Its architecture depends on distributed data-system components Raster support is outside the documented feature set	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
Our verdict	GeoMesa is an Apache-licensed, open-source suite for storing, indexing, querying, transforming, and analyzing large spatio-temporal datasets. It is designed for organizations working with high-volume point, line, polygon, and time-aware… Read the review →	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 →

Strengths and trade-offs

• GeoMesa — where it wins

  • Specialized Z2, Z3, XZ2, and XZ3 spatio-temporal indexes
  • Distributed spatial queries across point, line, and polygon data
  • Kafka streaming plus Spark and Spark SQL analytics

  Where it doesn't

  • Self-hosted deployment requires teams to operate the environment
  • Its architecture depends on distributed data-system components
  • Raster support is outside the documented feature set

• 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

• GGeoMesa9.2/10 · Open source

  A self-hosted spatial engine for distributed, high-volume spatio-temporal workloads.

  Visit GeoMesaFull verdict →
• Tile388.5/10 · Free plan

  A self-hosted spatial database for real-time location queries and geofencing.

  Visit Tile38Full verdict →