DBMS > ClickHouse vs. H2GIS vs. InterSystems IRIS

System Properties Comparison ClickHouse vs. H2GIS vs. InterSystems IRIS

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Editorial information provided by DB-Engines

Name

Description

Column-oriented Relational DBMS powering Yandex

Spatial extension of H2

A containerised multi-model DBMS, interoperability and analytics data platform with wide capabilities for vertical and horizontal scalability

Primary database model

Relational DBMS

Spatial DBMS

Document store
Key-value store
Object oriented DBMS
Relational DBMS

Secondary database models

Time Series DBMS

Relational DBMS

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

Score	13.18
Rank	#46	Overall
	#30	Relational DBMS

Score	0.03
Rank	#340	Overall
	#5	Spatial DBMS

Score	2.45
Rank	#118	Overall
	#23	Document stores
	#22	Key-value stores
	#2	Object oriented DBMS
	#59	Relational DBMS

Website

clickhouse.tech

www.h2gis.org

www.intersystems.com/products/intersystems-iris

Technical documentation

clickhouse.tech/docs

www.h2gis.org/docs/home

docs.intersystems.com/irislatest/csp/docbook/DocBook.UI.Page.cls

Developer

Clickhouse Inc.

CNRS

InterSystems

Initial release

2016

2013

2018

Current release

v22.7.2.15-stable, August 2022

2021.1, June 2021

License

Commercial or Open Source

Open Source

Apache 2.0

Open Source

LGPL 3.0

commercial

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

C++

Java

Server operating systems

FreeBSD
Linux
macOS

AIX
Linux
macOS
Windows

Data scheme

yes

depending on used data model

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

yes

SQL

Support of SQL

Close to ANSI SQL

yes

APIs and other access methods

HTTP REST
JDBC
ODBC
Proprietary protocol

JDBC
ODBC
RESTful HTTP API

Supported programming languages

3rd party library
C++
Elixir

3rd party library
Go

3rd party library
Java

3rd party library
JavaScript (Node.js)

3rd party library
Kotlin

3rd party library
Nim

3rd party library
Perl

3rd party library
PHP

3rd party library
Python

3rd party library
R

3rd party library
Ruby

3rd party library
Scala

3rd party library

Java

.Net
C++
Java
JavaScript (Node.js)
Python

Server-side scripts

Stored procedures

yes

based on H2

yes

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

none

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

yes

based on H2

Source-replica replication

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 and roles

yes

based on H2

yes

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