DBMS > GeoSpock vs. H2GIS vs. PostGIS

System Properties Comparison GeoSpock vs. H2GIS vs. PostGIS

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Editorial information provided by DB-Engines

Name

Description

Spatial and temporal data processing engine for extreme data scale

Spatial extension of H2

Spatial extension of PostgreSQL

Primary database model

Relational DBMS

Spatial DBMS

Secondary database models

Time Series DBMS

Relational DBMS

DB-Engines Ranking measures the popularity of database management systems
Trend Chart

Score	0.31
Rank	#310	Overall
	#140	Relational DBMS

Score	0.22
Rank	#338	Overall
	#5	Spatial DBMS

Score	30.22
Rank	#28	Overall
	#1	Spatial DBMS

Website

geospock.com

www.h2gis.org

postgis.net

Technical documentation

docs.geospock.com/Content/Home.htm

www.h2gis.org/docs/home

postgis.net/documentation

Developer

GeoSpock

CNRS

Initial release

2013

2005

Current release

2.0, September 2019

3.3.2, November 2022

License

Commercial or Open Source

commercial

Open Source

LGPL 3.0

Open Source

GPL v2.0

Cloud-based only

Only available as a cloud service

yes

DBaaS offerings (sponsored links)

Database as a Service

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Implementation language

Java, Javascript

Java

Server operating systems

hosted

Data scheme

yes

Typing

predefined data types such as float or date

yes

XML support

Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.

yes

Secondary indexes

temporal, categorical

yes

SQL

Support of SQL

ANSI SQL for query only (using Presto)

yes

APIs and other access methods

JDBC

Supported programming languages

Java

Server-side scripts

Stored procedures

yes

based on H2

user defined functions

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

Automatic sharding

none

yes

based on PostgreSQL

Replication methods

Methods for redundantly storing data on multiple nodes

yes

based on H2

yes

based on PostgreSQL

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Foreign keys

Referential integrity

yes

Transaction concepts

Support to ensure data integrity after non-atomic manipulations of data

ACID

Concurrency

Support for concurrent manipulation of data

yes

yes, multi-version concurrency control (MVCC)

yes

Durability

Support for making data persistent

yes

In-memory capabilities

Is there an option to define some or all structures to be held in-memory only.

yes

User concepts

Access control

Access rights for users can be defined per table

yes

based on H2

yes

based on PostgreSQL

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More resources

DB-Engines blog posts

Spatial database management systems
6 April 2021, Matthias Gelbmann

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Recent citations in the news

GeoSpock joins Tomorrow Street to accelerate next-generation ...
28 October 2020, RealWire

GeoSpock’s extreme-scale data mission in $5.4m funding boost
8 October 2020, Cambridge Independent

GeoSpock showcases rapid expansion with data insights
16 July 2018, Cambridge Independent

Qkine Raises Over £4M in Funding
15 December 2022, FinSMEs

The ‘Google of Big Data’ heads for No 10
20 February 2015, Business Weekly

provided by Google News

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