DBMS > gStore vs. H2GIS vs. Hyprcubd vs. Teradata Aster

System Properties Comparison gStore vs. H2GIS vs. Hyprcubd vs. Teradata Aster

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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.

Teradata Aster has been integrated into other Teradata systems and therefore will be removed from the DB-Engines ranking.

Description

A native Graph DBMS to store and maintain very large RDF datasets.

Spatial extension of H2

Serverless Time Series DBMS

Platform for big data analytics on multistructured data sources and types

Primary database model

Secondary database models

Relational DBMS

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

Score	0.14
Rank	#342	Overall
	#34	Graph DBMS
	#16	RDF stores

Score	0.08
Rank	#368	Overall
	#7	Spatial DBMS

Website

en.gstore.cn

www.h2gis.org

hyprcubd.com (offline)

Technical documentation

en.gstore.cn/#/enDocs

www.h2gis.org/docs/home

Developer

CNRS

Hyprcubd, Inc.

Teradata

Initial release

2016

2013

2005

Current release

1.2, November 2023

License

Commercial or Open Source

Open Source

BSD

Open Source

LGPL 3.0

commercial

Cloud-based only

Only available as a cloud service

yes

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

Linux

hosted

Linux

Data scheme

schema-free and OWL/RDFS-schema support

yes

Flexible Schema (defined schema, partial schema, schema free)

defined schema within the relational store; partial schema or schema free in the Aster File Store

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.

yes

in Aster File Store

Secondary indexes

yes

SQL

Support of SQL

yes

SQL-like query language

yes

APIs and other access methods

HTTP API
SPARQL 1.1

gRPC (https)

ADO.NET
JDBC
ODBC
OLE DB

Supported programming languages

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

Java

C
C#
C++
Java
Python
R

Server-side scripts

Stored procedures

yes

based on H2

R packages

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

yes

Dimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

SQL Map-Reduce Framework

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Eventual 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

yes

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

Users, roles and permissions, Role-Based Access Control (RBAC) supported

yes

based on H2

token access

fine grained access rights according to SQL-standard

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More resources

Recent citations in the news

Teradata Enhances Big Data Analytics Platform
31 May 2024, Data Center Knowledge

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23 May 2014, Northwestern Engineering

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22 September 2011, PR Newswire

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provided by Google News

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