DBMS > Apache Jena - TDB vs. GridGain vs. gStore vs. Hyprcubd

System Properties Comparison Apache Jena - TDB vs. GridGain vs. gStore vs. Hyprcubd

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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

A RDF storage and query DBMS, shipped as an optional-use component of the Apache Jena framework

GridGain is an in-memory computing platform, built on Apache Ignite

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

Serverless Time Series DBMS

Primary database model

RDF store

Key-value store
Relational DBMS

Graph DBMS
RDF store

Time Series DBMS

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

Score	3.75
Rank	#84	Overall
	#3	RDF stores

Score	1.47
Rank	#154	Overall
	#26	Key-value stores
	#72	Relational DBMS

Score	0.04
Rank	#359	Overall
	#37	Graph DBMS
	#18	RDF stores

Website

jena.apache.org/documentation/tdb/index.html

www.gridgain.com

en.gstore.cn

hyprcubd.com (offline)

Technical documentation

jena.apache.org/documentation/tdb/index.html

www.gridgain.com/docs/index.html

en.gstore.cn/#/enDocs

Developer

Apache Software Foundation

originally developed by HP Labs

GridGain Systems, Inc.

Hyprcubd, Inc.

Initial release

2000

2007

2016

Current release

4.9.0, July 2023

GridGain 8.5.1

1.2, November 2023

License

Commercial or Open Source

Open Source

Apache License, Version 2.0

commercial

Open Source

BSD

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

Java

Java, C++, .Net

C++

Server operating systems

All OS with a Java VM

Linux
OS X
Solaris
Windows

Linux

hosted

Data scheme

yes

RDF Schemas

yes

schema-free and OWL/RDFS-schema support

yes

Typing

predefined data types such as float or date

yes

time, int, uint, float, string

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

ANSI-99 for query and DML statements, subset of DDL

SQL-like query language

APIs and other access methods

Fuseki

REST-style SPARQL HTTP Interface
Jena RDF API
RIO

RDF Input/Output

HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data

HTTP API
SPARQL 1.1

gRPC (https)

Supported programming languages

Java

C#
C++
Java
PHP
Python
Ruby
Scala

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

Server-side scripts

Stored procedures

yes

yes (compute grid and cache interceptors can be used instead)

yes

Triggers

yes

via event handler

yes (cache interceptors and events)

Partitioning methods

Methods for storing different data on different nodes

none

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

none

yes (replicated cache)

MapReduce

Offers an API for user-defined Map/Reduce methods

yes (compute grid and hadoop accelerator)

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Eventual Consistency

Foreign keys

Referential integrity

Transaction concepts

Support to ensure data integrity after non-atomic manipulations of data

ACID

TDB Transactions

ACID

yes

Concurrency

Support for concurrent manipulation of data

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 control via Jena Security

Security Hooks for custom implementations

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

token access

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