DBMS > Firebase Realtime Database vs. IBM Db2 vs. VelocityDB

System Properties Comparison Firebase Realtime Database vs. IBM Db2 vs. VelocityDB

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Editorial information provided by DB-Engines
Name	Firebase Realtime Database  Xexclude from comparison	IBM Db2 formerly named DB2 or IBM Database 2  Xexclude from comparison	VelocityDB  Xexclude from comparison
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	A .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)
Primary database model	Document store	Relational DBMS Since Version 10.5 support for JSON/BSON documents compatible with MongoDB	Graph DBMS Object oriented DBMS
Secondary database models		Document store RDF store in Db2 LUW (Linux, Unix, Windows) Spatial DBMS with Db2 Spatial Extender
DB-Engines Ranking measures the popularity of database management systems Trend Chart	Score 18.48 Rank #39   Overall #6   Document stores	Score 159.19 Rank #7   Overall #5   Relational DBMS	Score 0.04 Rank #337   Overall #35   Graph DBMS #17   Object oriented DBMS
Website	firebase.google.com/­products/­realtime-database	www.ibm.com/­analytics/­db2	velocitydb.com
Technical documentation	firebase.google.com/­docs/­database	www.ibm.com/­support/­knowledgecenter/­SSEPGG	velocitydb.com/­UserGuide
Developer	Google acquired by Google 2014	IBM	VelocityDB Inc
Initial release	2012	1983 host version	2011
Current release		12.1, October 2016	7.x
License Commercial or Open Source	commercial	commercial free version is available	commercial
Cloud-based only Only available as a cloud service	yes	no	no
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Implementation language		C and C++	C#
Server operating systems	hosted	AIX HP-UX Linux Solaris Windows z/OS	Any that supports .NET
Data scheme	schema-free	yes	yes
Typing predefined data types such as float or date	yes	yes	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.	no		no
Secondary indexes	yes	yes	yes
SQL Support of SQL	no	yes	no
APIs and other access methods	Android iOS JavaScript API RESTful HTTP API	ADO.NET JDBC JSON style queries MongoDB compatible ODBC XQuery	.Net
Supported programming languages	Java JavaScript Objective-C	C C# C++ Cobol Delphi Fortran Java Perl PHP Python Ruby Visual Basic	.Net
Server-side scripts Stored procedures	limited functionality with using 'rules'	yes	no
Triggers	Callbacks are triggered when data changes	yes	Callbacks are triggered when data changes
Partitioning methods Methods for storing different data on different nodes		Sharding only with Windows/Unix/Linux Version	Sharding
Replication methods Methods for redundantly storing data on multiple nodes		yes with separate tools (MQ, InfoSphere)
MapReduce Offers an API for user-defined Map/Reduce methods	no	no	no
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	no	yes	no
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	yes	ACID	ACID
Concurrency Support for concurrent manipulation of data	yes	yes	yes
Durability Support for making data persistent	yes	yes	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	fine grained access rights according to SQL-standard	Based on Windows Authentication
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More resources
	Firebase Realtime Database	IBM Db2 formerly named DB2 or IBM Database 2	VelocityDB
DB-Engines blog posts	Cloud-based DBMS's popularity grows at high rates 12 December 2019, Paul Andlinger show all