DBMS > H2 vs. H2GIS vs. Kinetica vs. SpatiaLite

System Properties Comparison H2 vs. H2GIS vs. Kinetica vs. SpatiaLite

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Editorial information provided by DB-Engines

Name

Description

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

Spatial extension of H2

Fully vectorized database across both GPUs and CPUs

Spatial extension of SQLite

Primary database model

Secondary database models

Spatial DBMS

Relational DBMS

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

Score	9.83
Rank	#51	Overall
	#31	Relational DBMS

Score	0.03
Rank	#335	Overall
	#4	Spatial DBMS

Score	0.66
Rank	#212	Overall
	#103	Relational DBMS

Score	1.89
Rank	#127	Overall
	#2	Spatial DBMS

Website

www.h2database.com

www.h2gis.org

www.kinetica.com

www.gaia-gis.it/fossil/libspatialite/index

Technical documentation

www.h2database.com/html/main.html

www.h2gis.org/docs/home

www.kinetica.com/docs

www.gaia-gis.it/gaia-sins/spatialite_topics.html

Developer

Thomas Mueller

CNRS

Kinetica

Alessandro Furieri

Initial release

2005

2013

2012

2008

Current release

2.1.210, January 2022

7.1, August 2021

5.0.0, August 2020

License

Commercial or Open Source

Open Source

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

Open Source

LGPL 3.0

commercial

Open Source

MPL 1.1, GPL v2.0 or LGPL v2.1

Cloud-based only

Only available as a cloud service

DBaaS offerings (sponsored links)

Database as a Service

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

Implementation language

Java

C, C++

C++

Server operating systems

All OS with a Java VM

Linux

server-less

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

yes

SQL

Support of SQL

yes

SQL-like DML and DDL statements

yes

APIs and other access methods

JDBC
ODBC

JDBC
ODBC
RESTful HTTP API

Supported programming languages

Java

C++
Java
JavaScript (Node.js)
Python

Server-side scripts

Stored procedures

Java Stored Procedures and User-Defined Functions

yes

based on H2

user defined functions

Triggers

yes

triggers when inserted values for one or more columns fall within a specified range

yes

Partitioning methods

Methods for storing different data on different nodes

none

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

yes

based on H2

Source-replica replication

none

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Immediate Consistency or Eventual Consistency depending on configuration

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, 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

GPU vRAM or System RAM

yes

User concepts

Access control

fine grained access rights according to SQL-standard

yes

based on H2

Access rights for users and roles on table level

More information provided by the system vendor

Specific characteristics

Native and fully vectorized database across both GPUs and CPUs, with memory first...
» more

Competitive advantages

Best in class geospatial and temporal analytics. Lockless architecture provides real-time...
» more

Typical application scenarios

Any application requiring (1) real time insights, (2) time series analysis (3) geospatial...
» more

Key customers

Citibank, US Air Force, Softbank, OVO, Telkomsel, USPS, 2 of the top 3 US Telcos,...
» more

Market metrics

The largest IoT deployment in the world, NORAD, runs on Kinetica.
» more

Licensing and pricing models

Always Free Tier in the Cloud, Pay-As-You-Go Consumption Based Pricing, and Portable...
» more

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources

DB-Engines blog posts

Spatial database management systems
6 April 2021, Matthias Gelbmann

show all

Recent citations in the news

GPU Database Market 2022 Industry Dynamic Forces – Neo4j, Brytlyt, Blazegraph, HeteroDB, Graphistry, etc – The Daily Vale
22 May 2022, The Daily Vale

Bank Replaces Hundreds of Spark Streaming Nodes with Kinetica
6 January 2022, Datanami

Kinetica Database Now on Azure
14 October 2021, insideHPC

GPU Database Market 2022 – New Technology Innovation, Global Sales Analysis, Future Expansion, Business Overview, Opportunities Analysis & Demand Forecast to 2025
28 April 2022, Digital Journal

Kinetica Uses GPUs for Advanced In-Database Analytics
24 January 2017, InformationWeek

provided by Google News

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