DBMS > H2GIS vs. Kyligence Enterprise vs. SiteWhere

System Properties Comparison H2GIS vs. Kyligence Enterprise vs. SiteWhere

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Editorial information provided by DB-Engines

Name

Description

Spatial extension of H2

A distributed analytics engine for big data, built on top of Apache Kylin

M2M integration platform for persisting/querying time series data

Primary database model

Spatial DBMS

Relational DBMS

Time Series DBMS

Secondary database models

Relational DBMS

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

Score	0.05
Rank	#372	Overall
	#7	Spatial DBMS

Score	0.39
Rank	#276	Overall
	#125	Relational DBMS

Score	0.06
Rank	#367	Overall
	#36	Time Series DBMS

Website

www.h2gis.org

kyligence.io/kyligence-enterprise

github.com/sitewhere/sitewhere

Technical documentation

www.h2gis.org/docs/home

sitewhere1.sitewhere.io/index.html

Developer

CNRS

Kyligence, Inc.

SiteWhere

Initial release

2013

2016

2010

License

Commercial or Open Source

Open Source

LGPL 3.0

commercial

Open Source

Common Public Attribution License Version 1.0

Cloud-based only

Only available as a cloud service

DBaaS offerings (sponsored links)

Database as a Service

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Implementation language

Java

Server operating systems

Linux

Linux
OS X
Windows

Data scheme

yes

predefined scheme

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

ANSI SQL for queries (using Apache Calcite)

APIs and other access methods

JDBC
ODBC
RESTful HTTP API

HTTP REST

Supported programming languages

Java

Server-side scripts

Stored procedures

yes

based on H2

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

none

Sharding

based on HBase

Replication methods

Methods for redundantly storing data on multiple nodes

yes

based on H2

selectable replication factor

based on HBase

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

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, 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

yes

based on H2

Users with fine-grained authorization concept

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