DBMS > Firebase Realtime Database vs. Oracle Coherence vs. WakandaDB

System Properties Comparison Firebase Realtime Database vs. Oracle Coherence vs. WakandaDB

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Name	Firebase Realtime Database  Xexclude from comparison	Oracle Coherence  Xexclude from comparison	WakandaDB  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.	Oracles in-memory data grid solution	WakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database model	Document store	Key-value store	Object oriented DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart	Score 18.34 Rank #39   Overall #6   Document stores	Score 2.46 Rank #116   Overall #21   Key-value stores	Score 0.02 Rank #344   Overall #18   Object oriented DBMS
Website	firebase.google.com/­products/­realtime-database	www.oracle.com/­middleware/­technologies/­coherence.html	wakanda.github.io
Technical documentation	firebase.google.com/­docs/­database	docs.oracle.com/­en/­middleware/­standalone/­coherence	doc.wakanda.org/­home2.en.html#/­Datastore/­Introduction.200-588937.en.html
Developer	Google acquired by Google 2014	Oracle	Wakanda SAS
Initial release	2012	2007	2012
Current release		12c, September 2016	2.7.0 (April 29, 2019), April 2019
License Commercial or Open Source	commercial	commercial	Open Source AGPLv3, extended commercial license available
Cloud-based only Only available as a cloud service	yes	no	no
DBaaS offerings (sponsored links) Database as a Service Providers of DBaaS offerings, please contact us to be listed.
Implementation language		Java	C++, JavaScript
Server operating systems	hosted	All OS with a Java VM	Linux OS X Windows
Data scheme	schema-free	schema-free	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	no
Secondary indexes	yes	no
SQL Support of SQL	no	no	no
APIs and other access methods	Android iOS JavaScript API RESTful HTTP API	JCache JPA RESTful HTTP API	RESTful HTTP API
Supported programming languages	Java JavaScript Objective-C	.Net C++ Java	JavaScript
Server-side scripts Stored procedures	limited functionality with using 'rules'	no	yes
Triggers	Callbacks are triggered when data changes	yes Live Events	yes
Partitioning methods Methods for storing different data on different nodes		Sharding	none
Replication methods Methods for redundantly storing data on multiple nodes		yes, with selectable consistency level	none
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	Eventual Consistency Immediate Consistency	Immediate Consistency
Foreign keys Referential integrity	no	no
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	yes	configurable	ACID
Concurrency Support for concurrent manipulation of data	yes	yes	yes
Durability Support for making data persistent	yes	yes optionally	yes
In-memory capabilities Is there an option to define some or all structures to be held in-memory only.		yes	no
User concepts Access control	yes, based on authentication and database rules	authentification to access the cache via certificates or http basic authentication	yes
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More resources
	Firebase Realtime Database	Oracle Coherence	WakandaDB
DB-Engines blog posts	Cloud-based DBMS's popularity grows at high rates 12 December 2019, Paul Andlinger show all