DBMS > Firebase Realtime Database vs. IBM Db2

System Properties Comparison Firebase Realtime Database vs. IBM Db2

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Our visitors often compare Firebase Realtime Database and IBM Db2 with MySQL, PostgreSQL and Microsoft SQL Server.

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.

Common in IBM host environments, 2 different versions for host and Windows/Linux

Primary database model

Document store

Relational DBMS info

Since Version 10.5 support for JSON/BSON documents compatible with MongoDB

Secondary database models

Document store
RDF store info

in DB2 LUW (Linux, Unix, Windows)

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

Score	15.11
Rank	#36	Overall
	#6	Document stores

Score	163.17
Rank	#6	Overall
	#5	Relational DBMS

Website

firebase.google.com/products/realtime-database

www.ibm.com/analytics/db2

Technical documentation

firebase.google.com/docs/database

www.ibm.com/support/knowledgecenter/SSEPGG

Developer

Google

acquired by Google 2014

IBM

Initial release

2012

1983

host version

Current release

12.1, October 2016

License

Commercial or Open Source

commercial

commercial info

free version is available

Cloud-based only info

Only available as a cloud service

yes

DBaaS offerings (sponsored links) info

Database as a Service

Providers of DBaaS offerings, please contact us to be listed.

Implementation language

C and C++

Server operating systems

hosted

AIX
HP-UX
Linux
Solaris
Windows
z/OS

Data scheme

schema-free

yes

Typing

predefined data types such as float or date

yes

XML support info

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

ADO.NET
JDBC
JSON style queries info

MongoDB compatible
ODBC
XQuery

Supported programming languages

Java
JavaScript
Objective-C

C
C#
C++
Cobol
Delphi
Fortran
Java
Perl
PHP
Python
Ruby
Visual Basic

Server-side scripts info

Stored procedures

limited functionality with using 'rules'

yes

Triggers

Callbacks are triggered when data changes

yes

Partitioning methods info

Methods for storing different data on different nodes

Sharding

only with Windows/Unix/Linux Version

Replication methods info

Methods for redundantly storing data on multiple nodes

yes

with separate tools (MQ, InfoSphere)

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts info

Methods to ensure consistency in a distributed system

Eventual Consistency info

if the client is offline
Immediate Consistency info

if the client is online

Foreign keys info

Referential integrity

yes

Transaction concepts info

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

yes

ACID

Concurrency info

Support for concurrent manipulation of data

yes

Durability info

Support for making data persistent

yes

User concepts info

Access control

yes, based on authentication and database rules

fine grained access rights according to SQL-standard

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