DBMS > Atos Standard Common Repository vs. Firebase Realtime Database vs. Heroic vs. OrigoDB vs. SwayDB

System Properties Comparison Atos Standard Common Repository vs. Firebase Realtime Database vs. Heroic vs. OrigoDB vs. SwayDB

Editorial information provided by DB-Engines
Name	Atos Standard Common Repository  Xexclude from comparison	Firebase Realtime Database  Xexclude from comparison	Heroic  Xexclude from comparison	OrigoDB  Xexclude from comparison	SwayDB  Xexclude from comparison
	This system has been discontinued and will be removed from the DB-Engines ranking.
Description	Highly scalable database system, designed for managing session and subscriber data in modern mobile communication networks	Cloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.	Time Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearch	A fully ACID in-memory object graph database	An embeddable, non-blocking, type-safe key-value store for single or multiple disks and in-memory storage
Primary database model	Document store Key-value store	Document store	Time Series DBMS	Document store Object oriented DBMS	Key-value store
DB-Engines Ranking measures the popularity of database management systems Trend Chart		Score 13.64 Rank #39   Overall #6   Document stores	Score 0.46 Rank #265   Overall #22   Time Series DBMS	Score 0.06 Rank #380   Overall #50   Document stores #18   Object oriented DBMS	Score 0.04 Rank #387   Overall #61   Key-value stores
Website	atos.net/en/convergence-creators/portfolio/standard-common-repository	firebase.google.com/­products/­realtime-database	github.com/­spotify/­heroic	origodb.com	swaydb.simer.au
Technical documentation		firebase.google.com/­docs/­database	spotify.github.io/­heroic	origodb.com/­docs
Developer	Atos Convergence Creators	Google acquired by Google 2014	Spotify	Robert Friberg et al	Simer Plaha
Initial release	2016	2012	2014	2009 under the name LiveDB	2018
Current release	1703
License Commercial or Open Source	commercial	commercial	Open Source Apache 2.0	Open Source	Open Source GNU Affero GPL V3.0
Cloud-based only Only available as a cloud service	no	yes	no	no	no
DBaaS offerings (sponsored links) Database as a Service Providers of DBaaS offerings, please contact us to be listed.
Implementation language	Java		Java	C#	Scala
Server operating systems	Linux	hosted		Linux Windows
Data scheme	Schema and schema-less with LDAP views	schema-free	schema-free	yes	schema-free
Typing predefined data types such as float or date	optional	yes	yes	User defined using .NET types and collections	no
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.	yes	no	no	no can be achieved using .NET	no
Secondary indexes	yes	yes	yes via Elasticsearch	yes	no
SQL Support of SQL	no	no	no	no	no
APIs and other access methods	LDAP	Android iOS JavaScript API RESTful HTTP API	HQL (Heroic Query Language, a JSON-based language) HTTP API	.NET Client API HTTP API LINQ
Supported programming languages	All languages with LDAP bindings	Java JavaScript Objective-C		.Net	Java Kotlin Scala
Server-side scripts Stored procedures	no	limited functionality with using 'rules'	no	yes	no
Triggers	yes	Callbacks are triggered when data changes	no	yes Domain Events	no
Partitioning methods Methods for storing different data on different nodes	Sharding cell division		Sharding	horizontal partitioning client side managed; servers are not synchronized	none
Replication methods Methods for redundantly storing data on multiple nodes	yes		yes	Source-replica replication	none
MapReduce Offers an API for user-defined Map/Reduce methods		no	no	no	no
Consistency concepts Methods to ensure consistency in a distributed system	Immediate Consistency or Eventual Consistency depending on configuration	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	no	depending on model	no
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	Atomic execution of specific operations	yes	no	ACID	Atomic execution of operations
Concurrency Support for concurrent manipulation of data	yes	yes	yes	yes	yes
Durability Support for making data persistent	yes	yes	yes	yes Write ahead log	yes
In-memory capabilities Is there an option to define some or all structures to be held in-memory only.	yes		no	yes	yes
User concepts Access control	LDAP bind authentication	yes, based on authentication and database rules		Role based authorization	no
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More resources
	Atos Standard Common Repository	Firebase Realtime Database	Heroic	OrigoDB	SwayDB
DB-Engines blog posts		Cloud-based DBMS's popularity grows at high rates 12 December 2019, Paul Andlinger show all
Recent citations in the news	Infographic: What makes a Mobile Operator's setup future proof? 10 February 2024, Atos provided by Google News	Realtime vs Cloud Firestore: Which Firebase Database to go? 8 March 2024, Appinventiv Atos cybersecurity blog: Misconfigured Firebase: A real-time cyber threat 18 January 2024, Atos Don't be like these 900+ websites and expose millions of passwords via Firebase 18 March 2024, The Register Google launches Firebase Genkit, a new open source framework for building AI-powered apps 14 May 2024, TechCrunch Google Firebase may have exposed 125M records from misconfigurations 19 March 2024, SC Media provided by Google News	Review: Google Bigtable scales with ease 7 September 2016, InfoWorld provided by Google News

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