DBMS > RDF4J vs. SpaceTime vs. SwayDB vs. Teradata

System Properties Comparison RDF4J vs. SpaceTime vs. SwayDB vs. Teradata

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines

Name

Description

RDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.

SpaceTime is a spatio-temporal DBMS with a focus on performance.

An embeddable, non-blocking, type-safe key-value store for single or multiple disks and in-memory storage

A hybrid cloud data analytics software platform (Teradata Vantage)

Primary database model

Secondary database models

Relational DBMS

Document store
Graph DBMS
Spatial DBMS
Time Series DBMS

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

Score	0.72
Rank	#222	Overall
	#9	RDF stores

Score	0.00
Rank	#385	Overall
	#7	Spatial DBMS

Score	0.00
Rank	#384	Overall
	#60	Key-value stores

Score	41.47
Rank	#22	Overall
	#15	Relational DBMS

Website

rdf4j.org

www.mireo.com/spacetime

swaydb.simer.au

www.teradata.com

Technical documentation

rdf4j.org/documentation

docs.teradata.com

Developer

Since 2016 officially forked into an Eclipse project, former developer was Aduna Software.

Mireo

Simer Plaha

Teradata

Initial release

2004

2020

2018

1984

Current release

Teradata Vantage 1.0 MU2, January 2019

License

Commercial or Open Source

Open Source

Eclipse Distribution License (EDL), v1.0.

commercial

Open Source

GNU Affero GPL V3.0

commercial

Cloud-based only

Only available as a cloud service

DBaaS offerings (sponsored links)

Database as a Service

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

Implementation language

Java

C++

Scala

Server operating systems

Linux
OS X
Unix
Windows

Linux

hosted
Linux

Data scheme

yes

RDF Schemas

yes

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

Secondary indexes

yes

Join-index to prejoin tables, aggregate index, sparse index, hash index

SQL

Support of SQL

A subset of ANSI SQL is implemented

yes

SQL 2016 + extensions

APIs and other access methods

Java API
RIO

RDF Input/Output
Sail API
SeRQL

Sesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL

RESTful HTTP API

.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB

Supported programming languages

Java
PHP
Python

C#
C++
Python

Java
Kotlin
Scala

C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby

Server-side scripts

Stored procedures

yes

UDFs, stored procedures, table functions in parallel

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

none

Fixed-grid hypercubes

none

Sharding

Hashing

Replication methods

Methods for redundantly storing data on multiple nodes

none

Real-time block device replication (DRBD)

none

Multi-source replication
Source-replica replication

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Foreign keys

Referential integrity

yes

Transaction concepts

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

ACID

Isolation support depends on the API used

Atomic execution of operations

ACID

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

in-memory storage is supported as well

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

fine grained access rights according to SQL-standard

More information provided by the system vendor

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources

DB-Engines blog posts

Teradata is the most popular data warehouse DBMS
2 April 2013, Paul Andlinger

show all

Recent citations in the news

Teradata wants you to think differently about data and innovation – and take inspiration from the likes of Shazam
17 September 2024, ITPro

Pacer Advisors Inc. Acquires 367,641 Shares of Teradata Co. (NYSE:TDC)
22 September 2024, MarketBeat

Teradata: Award-Winning Tech Firm Has Capital Gains Potential At Undervalued Price (NYSE:TDC)
20 September 2024, Seeking Alpha

Teradata’s ClearScape Analytics Enhancements Will Speed up AI Projects & Lower Costs
18 September 2024, insideBIGDATA

Teradata ClearScape Analytics update targets ROI on AI, ML
17 September 2024, TechTarget

provided by Google News

Share this page