DBMS > ClickHouse vs. H2 vs. Kinetica vs. SAP HANA vs. SAP SQL Anywhere

System Properties Comparison ClickHouse vs. H2 vs. Kinetica vs. SAP HANA vs. SAP SQL Anywhere

Editorial information provided by DB-Engines

Name

Description

Column-oriented Relational DBMS powering Yandex

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

GPU-accelerated database for real-time analysis of large and streaming datasets

In-memory, column based data store. Available as appliance or cloud service

RDBMS database and synchronization technologies for server, desktop, remote office, and mobile environments

Primary database model

Relational DBMS

Secondary database models

Document store
Graph DBMS

with SAP Hana, Enterprise Edition

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

Score	7.61
Rank	#54	Overall
	#31	Relational DBMS

Score	9.07
Rank	#45	Overall
	#28	Relational DBMS

Score	0.76
Rank	#193	Overall
	#97	Relational DBMS

Score	50.87
Rank	#21	Overall
	#13	Relational DBMS

Score	6.30
Rank	#61	Overall
	#35	Relational DBMS

Website

clickhouse.tech

www.h2database.com

www.kinetica.com

www.sap.com/products/hana.html

www.sap.com/products/sql-anywhere.html

Technical documentation

clickhouse.tech/docs

www.h2database.com/html/main.html

www.kinetica.com/docs

help.sap.com/hana

help.sap.com/sql-anywhere

Developer

Yandex LLC

Thomas Mueller

Kinetica

SAP

formerly Sybase

Initial release

2016

2005

2012

2010

1992

Current release

v20.11.3.3-stable, November 2020

1.4.200, October 2019

6.0

2.0 SPS05 (June 26, 2020), June 2020

17, July 2015

License

Commercial or Open Source

Open Source

Apache 2.0

Open Source

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

commercial

Cloud-based only

Only available as a cloud service

also available as a cloud based service

DBaaS offerings (sponsored links)

Database as a Service

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

Implementation language

C++

Java

C, C++

Server operating systems

FreeBSD
Linux
macOS

All OS with a Java VM

Linux

Appliance or cloud-service

AIX
HP-UX
Linux
OS X
Solaris
Windows

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

yes

SQL

Support of SQL

Close to ANSI SQL

yes

SQL-like DML and DDL statements

yes

APIs and other access methods

HTTP REST
JDBC
ODBC
Proprietary protocol

JDBC
ODBC

JDBC
ODBC
RESTful HTTP API

JDBC
ODBC

ADO.NET
HTTP API
JDBC
ODBC

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

C++
Java
JavaScript (Node.js)
Python

C
C#
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby

Server-side scripts

Stored procedures

Java Stored Procedures and User-Defined Functions

user defined functions

SQLScript, R

yes, in C/C++, Java, .Net or Perl

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

yes

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

Source-replica replication

yes

Source-replica replication

Database mirroring

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

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

GPU vRAM or System RAM

yes

User concepts

Access control

Access rights for users and roles

fine grained access rights according to SQL-standard

Access rights for users and roles on table level

yes

fine grained access rights according to SQL-standard

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