DBMS > Firebase Realtime Database vs. Galaxybase vs. ITTIA vs. Oracle Rdb

System Properties Comparison Firebase Realtime Database vs. Galaxybase vs. ITTIA vs. Oracle Rdb

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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.

Scalable, ACID-compliant native distributed parallel graph platform

Edge Time Series DBMS with Real-Time Stream Processing

Primary database model

Secondary database models

Relational DBMS

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

Score	13.64
Rank	#39	Overall
	#6	Document stores

Score	0.07
Rank	#377	Overall
	#40	Graph DBMS

Score	0.44
Rank	#267	Overall
	#23	Time Series DBMS

Score	1.14
Rank	#178	Overall
	#80	Relational DBMS

Website

firebase.google.com/products/realtime-database

galaxybase.com

www.ittia.com

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

Technical documentation

firebase.google.com/docs/database

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

Developer

Google

acquired by Google 2014

Chuanglin(Createlink) Technology Co., Ltd 浙江创邻科技有限公司

ITTIA L.L.C.

Oracle, originally developed by Digital Equipment Corporation (DEC)

Initial release

2012

2017

2007

1984

Current release

Nov 20, November 2021

8.7

7.4.1.1, 2021

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 and Java

C and C++

Server operating systems

hosted

Linux

Linux
Windows

HP Open VMS

Data scheme

schema-free

Strong typed schema

Fixed schema

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

Typing

predefined data types such as float or date

yes

Float/Blob/Integer/String/Unicode/Date/Time/Timestamp/Interval

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

Android
iOS
JavaScript API
RESTful HTTP API

Browser interface
console (shell)
Graph API (Gremlin)
OpenCypher
Proprietary native API

JDBC
ODBC
RESTful HTTP API
WebSocket

Supported programming languages

Java
JavaScript
Objective-C

Go
Java
Python

C
C++
JavaScript (Node.js)
Python

Server-side scripts

Stored procedures

limited functionality with using 'rules'

user defined procedures and functions

yes

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

yes

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

Foreign keys

Referential integrity

yes

Relationships in graphs

yes

Transaction concepts

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

yes

ACID

yes

yes, on a single node

Concurrency

Support for concurrent manipulation of data

yes

yes, multi-version concurrency control (MVCC)

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

Role-based access control

Database file passwords

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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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