DBMS > DataFS vs. Firebase Realtime Database vs. Oracle Rdb vs. Valentina Server

System Properties Comparison DataFS vs. Firebase Realtime Database vs. Oracle Rdb vs. Valentina Server

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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.

Cloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.

Object-relational database and reports server

Primary database model

Object oriented DBMS

Document store

Relational DBMS

Secondary database models

Graph DBMS

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

Score	0.09
Rank	#360	Overall
	#18	Object oriented DBMS

Score	13.64
Rank	#39	Overall
	#6	Document stores

Score	1.14
Rank	#178	Overall
	#80	Relational DBMS

Score	0.21
Rank	#325	Overall
	#144	Relational DBMS

Website

newdatabase.com

firebase.google.com/products/realtime-database

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

www.valentina-db.net

Technical documentation

dev.mobiland.com/Overview.xsp

firebase.google.com/docs/database

www.oracle.com/database/technologies/related/rdb-doc.html

valentina-db.com/docs/dokuwiki/v5/doku.php

Developer

Mobiland AG

Google

acquired by Google 2014

Oracle, originally developed by Digital Equipment Corporation (DEC)

Paradigma Software

Initial release

2018

2012

1984

1999

Current release

1.1.263, October 2022

7.4.1.1, 2021

5.7.5

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.

Server operating systems

Windows

hosted

HP Open VMS

Linux
OS X
Windows

Data scheme

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

schema-free

Flexible Schema (defined schema, partial schema, 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.

Secondary indexes

yes

SQL

Support of SQL

yes

APIs and other access methods

.NET Client API
Proprietary client DLL
WinRT client

Android
iOS
JavaScript API
RESTful HTTP API

ODBC

Supported programming languages

.Net
C
C#
C++
VB.Net

Java
JavaScript
Objective-C

.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET

Server-side scripts

Stored procedures

limited functionality with using 'rules'

yes

Triggers

no, except callback-events from server when changes happened

Callbacks are triggered when data changes

yes

Partitioning methods

Methods for storing different data on different nodes

Proprietary Sharding 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

if the client is offline
Immediate Consistency

if the client is online

Immediate Consistency

Foreign keys

Referential integrity

yes

Transaction concepts

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

ACID

yes

yes, on a single node

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.

yes

User concepts

Access control

Windows-Profile

yes, based on authentication and database rules

fine grained access rights according to SQL-standard

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More resources

DB-Engines blog posts

Cloud-based DBMS's popularity grows at high rates
12 December 2019, Paul Andlinger

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