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GeoPackage Vs GeoJSON Vs GeoParquet

Updated: 1 hour ago

Geospatial data makes possible everything from interactive web maps and GPS navigation to AI-based spatial analytics and digital twins. Picking a file format is also important because it affects your application's performance, storage costs, and how well the new application will work with other applications and systems, as well as its ability to grow over time.


The most common geospatial formats used today are GeoPackage (GPKG), GeoJSON, and GeoParquet. Each of these formats was created for different uses, and you want to select the best-suited one for the job. If you select the wrong format, your application may run slower, have larger storage needs, and process data less efficiently.


GeoPackage Vs GeoJSON Vs GeoParquet
GeoPackage Vs GeoJSON Vs GeoParquet

What Is GeoJSON?


A format for representing geographical or spatial data via JSON (JavaScript Object Notation) - An open standard.


GeoJSON data can contain:


  • Points

  • Lines

  • Polygons

  • Multi-geometries

  • A collection of features (also known as a feature collection)

  • A coordinate reference system (although most data produced today is assumed to be WGS84, it has historically used other coordinate reference systems).


Example:


{

"type": "Feature",

"properties": {

"city": "Seattle"

},

"geometry": {

"type": "Point",

"coordinates": [-122.335167, 47.608013]

}

}


Benefits of Using GeoJSON


  • Easily readable by humans.

  • Can be easily debugged by a developer.

  • Has native support in many web mapping libraries.

  • Ideal to use with API-based applications.

  • Supported by almost all of GIS platforms.


Disadvantages of Using GeoJSON


  • Can have a very large file size.

  • Parsing large datasets can be slow.

  • No indexing is built into the data model.

  • GeoJSON is not designed efficiently for analysing data.

  • Duplicate property names are stored repeatedly.



What is a GeoPackage?


GIS database that conforms to the OGC and uses SQLite to continuously store the vector data, raster data, attributes, and metadata within one portable file.

The data stored in this “GIS” is within an RDBMS instead of a plain text format.


Example of what would be in the GIS:


roads

buildings

landuse

imagery

metadata

spatial indexes


A single .gpkg file can be made up of many different types of spatial layers.


Benefits of GeoPackages


  • Compact and built-in formats

  • Rapid indexing on top of spatial data.

  • Ability to hold multiple spatial feature layers

  • Can hold raster and vector together.

  • An ACID-compliant database

  • Great desktop GIS applications


Disadvantages


  • Higher learning curve to use most or all features.

  • Limited use for developing web APIs

  • Not very useful for covering data across many sites.

  • Limited support for creating cloud-based applications.



GeoPackage Vs GeoJSON Vs GeoParquet

What Is GeoParquet?


GeoParquet, as the next-generation method for storing geospatial data, leverages the Apache Parquet columnar format and then extends this to add standard Spatial Metadata.


Unlike GeoJSON or GeoPackage formats, GeoParquet is tailored for use with:


  • Big Data

  • Cloud Storage

  • Data Lakes

  • Machine Learning

  • Distributed Processing


Now, several well-known analytical engines, such as Spark, DuckDB, BigQuery, and Snowflake, are increasingly supporting the use of GeoParquet.


Advantages:


  • Very fast analytical queries

  • High degree of compression

  • Columnar-Storage

  • Designed for Cloud-native

  • Efficiently processed using parallel techniques

  • Great for storing billions of records


Disadvantages:


  • Not human-readable

  • Older GIS software does not have extensive support.

  • Requires special tools for editing


GeoPackage vs GeoJSON vs GeoParquet Comparison

Feature

GeoJSON

GeoPackage

GeoParquet

Format Type

JSON text

SQLite database

Apache Parquet

Human Readable

Yes

No

No

File Size

Large

Medium

Small

Compression

Poor

Good

Excellent

Spatial Index

No

Yes

Metadata-based

Multiple Layers

No

Yes

Yes (multiple files or datasets)

Raster Support

No

Yes

No

Cloud Native

Limited

Limited

Excellent

Streaming Friendly

Yes

No

Yes

AI/ML Workflows

Limited

Moderate

Excellent


Performance Comparison


For a dataset containing millions of features:

Metric

GeoJSON

GeoPackage

GeoParquet

Read Speed

Slow

Fast

Very Fast

Write Speed

Moderate

Fast

Very Fast

Query Speed

Slow

Fast

Excellent

Compression Ratio

Low

Medium

High

Memory Usage

High

Moderate

Low

GeoParquet consistently delivers the best performance for analytics because columnar storage reads only the required columns instead of the entire dataset.


Best Use Cases


GeoJSON


  • Ideal Usage Scenarios

  • REST API's

  • Leaflet maps

  • OpenLayers applications

  • Mapbox integrations

  • Lightweight datasets

  • Human-readable files


Common Users


  • Front-end Developers

  • Web-GIS Applications

  • Interactive Mapping Portals


GeoPackage


  • Ideal Usage Scenarios

  • Desktop GIS

  • Offline Mobile Mapping

  • Field Data Collection

  • Multilayer Datasets

  • Raster and Vector Formats

  • Single Portable Data File


Common Users


  • GIS Analysts

  • Survey Teams

  • Environmental Consultants

  • Government Agencies


GeoParquet


  • Ideal Usage Scenarios

  • Cloud Analytics

  • Data Lakes

  • Spark Processing

  • DuckDB Analytics

  • Machine Learning

  • Billion Record ETL Pipelines


Common Users


  • Data Engineers

  • Geospatial Data Scientists

  • Cloud Architects

  • AI Teams


When to Use Each Format


When to use GeoJSON:

  • You are creating web maps or APIs.

  • If your data is less than 100MB.

  • If you need something easily readable by humans.

  • If you want simplicity instead of having to worry about performance.


When to Use GeoPackage:

  • If you require a portable GIS database.

  • If multiple layers will be stored together.

  • If you will need to perform offline editing.

  • If you are combining raster and vector data.


When to Use GeoParquet:

  • When working with millions of features.

  • When working with cloud data platforms.

  • When querying using analytical SQL queries.

  • When building pipelines for AI or machine learning.

  • When optimising storage and query performance.


There’s not one “perfect” geospatial format - but there are geospatial formats that are perfect for specific use cases.


  • You should use GeoJSON when sharing lightweight data via web apps/APIs.

  • You should use GeoPackage when working in desktop GIS, and offline, as well as when requiring portable multi-layer projects.

  • You should use GeoParquet for analytics in the cloud, processing large datasets, and for AI-based workflows.


As businesses move towards cloud-based data platforms and large-scale spatial analysis, GeoParquet has emerged as the primary geospatial format for modern data engineering, while GeoJSON and GeoPackage are playing critical roles in the web mapping and GIS editing process. Using the correct format at each stage of your data pipeline will improve the performance, interoperability, and long-term scalability of your project.


For more information or any questions regarding GeoPackage, GeoJSON, and GeoParquet, please don't hesitate to contact us at


USA (HQ): (720) 702–4849

India: 98260-76466 - Pradeep Shrivastava

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