DBMS > Microsoft Azure SQL Database vs. RDF4J vs. TempoIQ vs. TerminusDB vs. VoltDB

System Properties Comparison Microsoft Azure SQL Database vs. RDF4J vs. TempoIQ vs. TerminusDB vs. VoltDB

Editorial information provided by DB-Engines

Name

TempoIQ seems to be decommissioned. It will be removed from the DB-Engines ranking.

Description

Database as a Service offering with high compatibility to Microsoft SQL Server

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

Scalable analytics DBMS for sensor data, provided as a service (SaaS)

Scalable Graph Database platform making enterprise data available by exploiting inferred entities and relationships

Distributed In-Memory NewSQL RDBMS

Used for OLTP applications with a high frequency of relatively simple transactions, that can hold all their data in memory

Primary database model

Secondary database models

Document store
Graph DBMS
Spatial DBMS

Document store
RDF store

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

Score	76.78
Rank	#16	Overall
	#11	Relational DBMS

Score	0.74
Rank	#222	Overall
	#9	RDF stores

Score	0.23
Rank	#316	Overall
	#27	Graph DBMS

Score	1.47
Rank	#157	Overall
	#73	Relational DBMS

Website

azure.microsoft.com/en-us/products/azure-sql/database

rdf4j.org

tempoiq.com (offline)

terminusdb.com

www.voltdb.com

Technical documentation

docs.microsoft.com/en-us/azure/azure-sql

rdf4j.org/documentation

terminusdb.github.io/terminusdb/#

docs.voltdb.com

Developer

Microsoft

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

TempoIQ

DataChemist Ltd.

VoltDB Inc.

Initial release

2010

2004

2012

2018

2010

Current release

V12

11.0.0, January 2023

11.3, April 2022

License

Commercial or Open Source

commercial

Open Source

Eclipse Distribution License (EDL), v1.0.

commercial

Open Source

GPL V3

Open Source

AGPL for Community Edition, commercial license for Enterprise, AWS, and Pro Editions

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

Prolog, Rust

Java, C++

Server operating systems

hosted

Linux
OS X
Unix
Windows

Linux

Linux
OS X

for development

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

Secondary indexes

yes

SQL

Support of SQL

yes

SQL-like query language (WOQL)

yes

only a subset of SQL 99

APIs and other access methods

ADO.NET
JDBC
ODBC

Java API
RIO

RDF Input/Output
Sail API
SeRQL

Sesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL

HTTP API

OWL
RESTful HTTP API
WOQL (Web Object Query Language)

Java API
JDBC
RESTful HTTP/JSON API

Supported programming languages

.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby

Java
PHP
Python

C#
Java
JavaScript

Node.js
Python
Ruby

JavaScript
Python

C#
C++
Erlang

not officially supported
Go
Java
JavaScript

Node.js
PHP
Python

Server-side scripts

Stored procedures

Transact SQL

yes

Java

Triggers

yes

Realtime Alerts

yes

Partitioning methods

Methods for storing different data on different nodes

none

Graph Partitioning

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

yes, with always 3 replicas available

none

Journaling Streams

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

FOREIGN KEY constraints are not supported

Transaction concepts

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

ACID

Isolation support depends on the API used

ACID

Transactions are executed single-threaded within stored procedures

Concurrency

Support for concurrent manipulation of data

yes

Data access is serialized by the server

Durability

Support for making data persistent

yes

in-memory storage is supported as well

yes

in-memory journaling

yes

Snapshots and command logging

In-memory capabilities

Is there an option to define some or all structures to be held in-memory only.

User concepts

Access control

fine grained access rights according to SQL-standard

simple authentication-based access control

Role-based access control

Users and roles with access to stored procedures

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