DBMS > GeoSpock vs. H2

System Properties Comparison GeoSpock vs. H2

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Editorial information provided by DB-Engines

Name

Description

Spatial and temporal data processing engine for extreme data scale

Full-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.

Primary database model

Relational DBMS

Secondary database models

Time Series DBMS

Spatial DBMS

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

Score	0.34
Rank	#296	Overall
	#135	Relational DBMS

Score	8.30
Rank	#54	Overall
	#32	Relational DBMS

Website

geospock.com

www.h2database.com

Technical documentation

docs.geospock.com/Content/Home.htm

www.h2database.com/html/main.html

Developer

GeoSpock

Thomas Mueller

Initial release

2005

Current release

2.0, September 2019

2.1.210, January 2022

License

Commercial or Open Source

commercial

Open Source

dual-licence (Mozilla public license, Eclipse public license)

Cloud-based only

Only available as a cloud service

yes

DBaaS offerings (sponsored links)

Database as a Service

Providers of DBaaS offerings, please contact us to be listed.

Implementation language

Java, Javascript

Java

Server operating systems

hosted

All OS with a Java VM

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.

Secondary indexes

temporal, categorical

yes

SQL

Support of SQL

ANSI SQL for query only (using Presto)

yes

APIs and other access methods

JDBC

JDBC
ODBC

Supported programming languages

Java

Server-side scripts

Stored procedures

Java Stored Procedures and User-Defined Functions

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

Automatic sharding

none

Replication methods

Methods for redundantly storing data on multiple nodes

With clustering: 2 database servers on different computers operate on identical copies of a database

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)

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

fine grained access rights according to SQL-standard

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More resources

Recent citations in the news

GeoSpock Launches Pioneering New Spatial Big Data Platform
26 February 2019, Business Wire

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

Enhanc3D Genomics Raises £10M in Series A Financing
20 October 2022, FinSMEs

Cambridge's Constructive Bio launches with £12.5m to rewrite DNA
16 August 2022, UKTN (UK Technology News

NTT Data announces winner of UK regional heat for its ninth global Open Innovation Contest
14 February 2019, ComputerWeekly.com

provided by Google News

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