DBMS > 4D vs. Apache Jena - TDB vs. GigaSpaces vs. TimesTen

System Properties Comparison 4D vs. Apache Jena - TDB vs. GigaSpaces vs. TimesTen

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Editorial information provided by DB-Engines

Name

Description

Application development environment with integrated database management system

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

High performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented Transactions

In-Memory RDBMS compatible to Oracle

Primary database model

Relational DBMS

RDF store

Document store
Object oriented DBMS

Values are user defined objects

Relational DBMS

Secondary database models

Graph DBMS
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Score	2.83
Rank	#106	Overall
	#55	Relational DBMS

Score	2.89
Rank	#105	Overall
	#3	RDF stores

Score	0.95
Rank	#180	Overall
	#30	Document stores
	#7	Object oriented DBMS

Score	1.69
Rank	#138	Overall
	#68	Relational DBMS

Website

www.4d.com

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

www.gigaspaces.com

www.oracle.com/database/technologies/related/timesten.html

Technical documentation

livedoc.4d.com

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

docs.gigaspaces.com/latest/landing.html

docs.oracle.com/database/timesten-18.1

Developer

4D, Inc

Apache Software Foundation

originally developed by HP Labs

Gigaspaces Technologies

Oracle, TimesTen Performance Software, HP

originally founded in HP Labs it was acquired by Oracle in 2005

Initial release

1984

2000

1998

Current release

v18 R5, January 2021

4.3.2, December 2021

15.5, September 2020

11 Release 2 (11.2.2.8.0)

License

Commercial or Open Source

commercial

Open Source

Apache License, Version 2.0

Open Source

Apache Version 2; Commercial licenses available

commercial

Cloud-based only

Only available as a cloud service

DBaaS offerings (sponsored links)

Database as a Service

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Implementation language

Java

Java, C++, .Net

Server operating systems

OS X
Windows

All OS with a Java VM

Linux
macOS
Solaris
Windows

AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows

Data scheme

yes

RDF Schemas

schema-free

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

XML can be used for describing objects metadata

Secondary indexes

yes

SQL

Support of SQL

yes

close to SQL 92

SQL-99 for query and DML statements

yes

APIs and other access methods

ODBC
RESTful HTTP API

by using 4D Mobile
SOAP webservices

Fuseki

REST-style SPARQL HTTP Interface
Jena RDF API
RIO

RDF Input/Output

GigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data

JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)

Supported programming languages

4D proprietary IDE
PHP

Java

.Net
C++
Java
Python
Scala

C
C++
Java
PL/SQL

Server-side scripts

Stored procedures

yes

PL/SQL

Triggers

yes

via event handler

yes, event driven architecture

Partitioning methods

Methods for storing different data on different nodes

none

Sharding

none

Replication methods

Methods for redundantly storing data on multiple nodes

Multi-source replication

none

Multi-source replication

synchronous or asynchronous
Source-replica replication

synchronous or asynchronous

Multi-source replication
Source-replica replication

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Map-Reduce pattern can be built with XAP task executors

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Consistency level configurable: ALL, QUORUM, ANY

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

ACID

TDB Transactions

ACID

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

by means of logfiles and checkpoints

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 and groups

Access control via Jena Security

Role-based access control

fine grained access rights according to SQL-standard

More information provided by the system vendor

Specific characteristics

GigaSpaces, the pioneer of In-Memory Computing , drives enterprise digital transformation...
» more

Competitive advantages

AI Driven Autonomous Operations – GigaSpaces’ unique AI driven technology simplifies...
» more

Typical application scenarios

Application Acceleration, Smart Caching, BI Acceleration on Fresh Data, Digital Integration...
» more

Key customers

Morgan Stanley, Bank of America, Goldman Sachs, PriceRunner, Cerner, Societe Generale,...
» more

Market metrics

Forrester has positioned GigaSpaces as a strong performer in The Forrester Wave™:...
» more

Licensing and pricing models

GigaSpaces offers both open source and commercial editions with annual subscriptions....
» more

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