DBMS > Microsoft Azure Table Storage vs. NSDb vs. OrigoDB vs. RDFox

System Properties Comparison Microsoft Azure Table Storage vs. NSDb vs. OrigoDB vs. RDFox

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Editorial information provided by DB-Engines

Name

Description

A Wide Column Store for rapid development using massive semi-structured datasets

Scalable, High-performance Time Series DBMS designed for Real-time Analytics on top of Kubernetes

A fully ACID in-memory object graph database

High performance knowledge graph and semantic reasoning engine

Primary database model

Wide column store

Time Series DBMS

Document store
Object oriented DBMS

Graph DBMS
RDF store

Secondary database models

Relational DBMS

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

Score	3.55
Rank	#80	Overall
	#6	Wide column stores

Score	0.00
Rank	#385	Overall
	#40	Time Series DBMS

Score	0.00
Rank	#385	Overall
	#54	Document stores
	#21	Object oriented DBMS

Score	0.22
Rank	#305	Overall
	#25	Graph DBMS
	#15	RDF stores

Website

azure.microsoft.com/en-us/services/storage/tables

nsdb.io

origodb.com

www.oxfordsemantic.tech

Technical documentation

nsdb.io/Architecture

origodb.com/docs

docs.oxfordsemantic.tech

Developer

Microsoft

Robert Friberg et al

Oxford Semantic Technologies

Initial release

2012

2017

2009

under the name LiveDB

2017

Current release

6.0, Septermber 2022

License

Commercial or Open Source

commercial

Open Source

Apache Version 2.0

Open Source

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, Scala

C++

Server operating systems

hosted

Linux
macOS

Linux
Windows

Linux
macOS
Windows

Data scheme

schema-free

yes

RDF schemas

Typing

predefined data types such as float or date

yes

yes: int, bigint, decimal, string

User defined using .NET types and collections

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.

can be achieved using .NET

Secondary indexes

all fields are automatically indexed

yes

SQL

Support of SQL

SQL-like query language

APIs and other access methods

RESTful HTTP API

gRPC
HTTP REST
WebSocket

.NET Client API
HTTP API
LINQ

RESTful HTTP API
SPARQL 1.1

Supported programming languages

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

Java
Scala

.Net

C
Java

Server-side scripts

Stored procedures

yes

Triggers

yes

Domain Events

Partitioning methods

Methods for storing different data on different nodes

Sharding

Implicit feature of the cloud service

Sharding

horizontal partitioning

client side managed; servers are not synchronized

Replication methods

Methods for redundantly storing data on multiple nodes

yes

implicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.

Source-replica replication

replication via a shared file system

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Eventual Consistency

Immediate Consistency in stand-alone mode, Eventual Consistency in replicated setups

Foreign keys

Referential integrity

depending on model

Transaction concepts

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

optimistic locking

ACID

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

Using Apache Lucene

yes

Write ahead log

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 rights based on private key authentication or shared access signatures

Role based authorization

Roles, resources, and access types

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More resources

Recent citations in the news

How to use Azure Table storage in .Net
10 July 2024, InfoWorld

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23 July 2024, Simplilearn

Azure Cosmos DB Data Migration tool imports from Azure Table storage
5 May 2015, Microsoft

How to write data to Azure Table Store with an Azure Function
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8 March 2018, Visual Studio Magazine

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Samsung Electronics Announces Acquisition of Oxford Semantic Technologies, UK-Based Knowledge Graph Startup
18 July 2024, Samsung Global Newsroom

Samsung acquires UK-based knowledge graph company
19 July 2024, evertiq.com

University spin-out Oxford Semantic Technologies acquired by Samsung Electronics
16 July 2024, University of Oxford

Samsung eyes Oxford tech firm for innovative AI venture
20 July 2024, Oxford Mail

Use semantic reasoning to infer new facts from your RDF graph by integrating RDFox with Amazon Neptune
20 February 2023, AWS Blog

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