DBMS > Firebase Realtime Database vs. Oracle Rdb vs. RDFox vs. SWC-DB

System Properties Comparison Firebase Realtime Database vs. Oracle Rdb vs. RDFox vs. SWC-DB

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Editorial information provided by DB-Engines

Name

Description

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

High performance knowledge graph and semantic reasoning engine

A high performance, scalable Wide Column DBMS

Primary database model

Secondary database models

Relational DBMS

Time Series DBMS

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

Score	13.64
Rank	#39	Overall
	#6	Document stores

Score	1.14
Rank	#178	Overall
	#80	Relational DBMS

Score	0.29
Rank	#300	Overall
	#24	Graph DBMS
	#13	RDF stores

Score	0.08
Rank	#364	Overall
	#13	Wide column stores

Website

firebase.google.com/products/realtime-database

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

www.oxfordsemantic.tech

github.com/kashirin-alex/swc-db
www.swcdb.org

Technical documentation

firebase.google.com/docs/database

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

docs.oxfordsemantic.tech

Developer

Google

acquired by Google 2014

Oracle, originally developed by Digital Equipment Corporation (DEC)

Oxford Semantic Technologies

Alex Kashirin

Initial release

2012

1984

2017

2020

Current release

7.4.1.1, 2021

6.0, Septermber 2022

0.5, April 2021

License

Commercial or Open Source

commercial

Open Source

GPL V3

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

hosted

HP Open VMS

Linux
macOS
Windows

Linux

Data scheme

schema-free

Flexible Schema (defined schema, partial schema, schema free)

yes

RDF schemas

schema-free

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

SQL-like query language

APIs and other access methods

Android
iOS
JavaScript API
RESTful HTTP API

RESTful HTTP API
SPARQL 1.1

Proprietary protocol
Thrift

Supported programming languages

Java
JavaScript
Objective-C

C
Java

C++

Server-side scripts

Stored procedures

limited functionality with using 'rules'

Triggers

Callbacks are triggered when data changes

Partitioning methods

Methods for storing different data on different nodes

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

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

Eventual Consistency

if the client is offline
Immediate Consistency

if the client is online

Immediate Consistency

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

Immediate Consistency

Foreign keys

Referential integrity

yes

Transaction concepts

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

yes

yes, on a single node

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.

yes

User concepts

Access control

yes, based on authentication and database rules

Roles, resources, and access types

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More resources

DB-Engines blog posts

Cloud-based DBMS's popularity grows at high rates
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