DBMS > H2GIS vs. Hyprcubd vs. SAP HANA vs. Transwarp KunDB

System Properties Comparison H2GIS vs. Hyprcubd vs. SAP HANA vs. Transwarp KunDB

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Editorial information provided by DB-Engines

Name

Hyprcubd seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.

Description

Spatial extension of H2

Serverless Time Series DBMS

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

OLTP DBMS based on a distributed architecture and highly compatible with MySQL and Oracle

Primary database model

Spatial DBMS

Time Series DBMS

Relational DBMS

Secondary database models

Relational DBMS

Document store
Graph DBMS

with SAP Hana, Enterprise Edition
Spatial DBMS

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

Score	0.00
Rank	#383	Overall
	#7	Spatial DBMS

Score	44.69
Rank	#22	Overall
	#16	Relational DBMS

Score	0.10
Rank	#344	Overall
	#151	Relational DBMS

Website

www.h2gis.org

hyprcubd.com (offline)

www.sap.com/products/hana.html

www.transwarp.cn/en/product/kundb

Technical documentation

www.h2gis.org/docs/home

help.sap.com/hana

Developer

CNRS

Hyprcubd, Inc.

SAP

Transwarp

Initial release

2013

2010

Current release

2.0 SPS07 (April 4, 2023), April 2023

License

Commercial or Open Source

Open Source

LGPL 3.0

commercial

Cloud-based only

Only available as a cloud service

yes

also available as a cloud based service

DBaaS offerings (sponsored links)

Database as a Service

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Implementation language

Java

Server operating systems

hosted

Appliance or cloud-service

Data scheme

yes

Typing

predefined data types such as float or date

yes

time, int, uint, float, string

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 query language

yes

APIs and other access methods

gRPC (https)

JDBC
ODBC

Supported programming languages

Java

Server-side scripts

Stored procedures

yes

based on H2

SQLScript, R

yes

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

none

yes

horizontal partitioning

Replication methods

Methods for redundantly storing data on multiple nodes

yes

based on H2

yes

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Eventual Consistency

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

token access

yes

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