DBMS > DataFS vs. Microsoft Azure AI Search vs. SpaceTime vs. Transwarp ArgoDB

System Properties Comparison DataFS vs. Microsoft Azure AI Search vs. SpaceTime vs. Transwarp ArgoDB

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Editorial information provided by DB-Engines

Name

Description

All data is stored inside objects which are linked by so-called link attributes. Objects consist of classes which can be extended and de-extended at runtime. Graphs can be defined with a struct.

Search-as-a-service for web and mobile app development

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

Distributed Analytical Database to replace Hadoop+MPP hybrid architecture

Primary database model

Secondary database models

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

Score	0.09
Rank	#360	Overall
	#18	Object oriented DBMS

Score	5.52
Rank	#59	Overall
	#6	Search engines

Score	0.03
Rank	#392	Overall
	#8	Spatial DBMS

Score	0.12
Rank	#348	Overall
	#151	Relational DBMS

Website

newdatabase.com

azure.microsoft.com/en-us/services/search

www.mireo.com/spacetime

www.transwarp.cn/en/product/argodb

Technical documentation

dev.mobiland.com/Overview.xsp

learn.microsoft.com/en-us/azure/search

docs.transwarp.cn/#/documents-support/docs?category=ARGODB

Developer

Mobiland AG

Microsoft

Mireo

Transwarp

Initial release

2018

2015

2020

Current release

1.1.263, October 2022

License

Commercial or 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

C++

Server operating systems

Windows

hosted

Linux

Data scheme

Classes, Structs, and Lists are written in proprietary DataTypeDefinitionLanguage (.dtdl) and Objects consisting of those are written in proprietary DataAccessDefinitionLanguage (.dadl)

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.

Secondary indexes

yes

SQL

Support of SQL

A subset of ANSI SQL is implemented

yes

APIs and other access methods

.NET Client API
Proprietary client DLL
WinRT client

RESTful HTTP API

Supported programming languages

.Net
C
C#
C++
VB.Net

C#
Java
JavaScript
Python

C#
C++
Python

Server-side scripts

Stored procedures

Triggers

no, except callback-events from server when changes happened

Partitioning methods

Methods for storing different data on different nodes

Proprietary Sharding system

Sharding

Implicit feature of the cloud service

Fixed-grid hypercubes

Replication methods

Methods for redundantly storing data on multiple nodes

yes

Implicit feature of the cloud service

Real-time block device replication (DRBD)

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

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.

User concepts

Access control

Windows-Profile

yes

using Azure authentication

yes

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