DBMS > Atos Standard Common Repository vs. Firebase Realtime Database vs. Riak TS vs. TerarkDB

System Properties Comparison Atos Standard Common Repository vs. Firebase Realtime Database vs. Riak TS vs. TerarkDB

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Editorial information provided by DB-Engines
Name	Atos Standard Common Repository  Xexclude from comparison	Firebase Realtime Database  Xexclude from comparison	Riak TS  Xexclude from comparison	TerarkDB  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.	Riak TS is a distributed NoSQL database optimized for time series data and based on Riak KV	A key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDB
Primary database model	Document store Key-value store	Document store	Time Series 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 0.28 Rank #307   Overall #27   Time Series DBMS	Score 0.08 Rank #367   Overall #56   Key-value stores
Website	atos.net/en/convergence-creators/portfolio/standard-common-repository	firebase.google.com/­products/­realtime-database		github.com/­bytedance/­terarkdb
Technical documentation		firebase.google.com/­docs/­database	www.tiot.jp/­riak-docs/­riak/­ts/­latest	bytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKc
Developer	Atos Convergence Creators	Google acquired by Google 2014	Open Source, formerly Basho Technologies	ByteDance, originally Terark
Initial release	2016	2012	2015	2016
Current release	1703		3.0.0, September 2022
License Commercial or Open Source	commercial	commercial	Open Source	commercial restricted open source version available
Cloud-based only Only available as a cloud service	no	yes	no	no
DBaaS offerings (sponsored links) Database as a Service Providers of DBaaS offerings, please contact us to be listed.
Implementation language	Java		Erlang	C++
Server operating systems	Linux	hosted	Linux OS X
Data scheme	Schema and schema-less with LDAP views	schema-free	schema-free	schema-free
Typing predefined data types such as float or date	optional	yes	no	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
Secondary indexes	yes	yes	restricted	no
SQL Support of SQL	no	no	yes, limited	no
APIs and other access methods	LDAP	Android iOS JavaScript API RESTful HTTP API	HTTP API Native Erlang Interface	C++ API Java API
Supported programming languages	All languages with LDAP bindings	Java JavaScript Objective-C	C unofficial client library C# C++ unofficial client library Clojure unofficial client library Dart unofficial client library Erlang Go unofficial client library Groovy unofficial client library Haskell unofficial client library Java JavaScript unofficial client library Lisp unofficial client library Perl unofficial client library PHP Python Ruby Scala unofficial client library Smalltalk unofficial client library	C++ Java
Server-side scripts Stored procedures	no	limited functionality with using 'rules'	Erlang	no
Triggers	yes	Callbacks are triggered when data changes	yes pre-commit hooks and post-commit hooks	no
Partitioning methods Methods for storing different data on different nodes	Sharding cell division		Sharding	none
Replication methods Methods for redundantly storing data on multiple nodes	yes		selectable replication factor	none
MapReduce Offers an API for user-defined Map/Reduce methods		no	yes	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
Foreign keys Referential integrity	no	no	no links between datasets can be stored	no
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	Atomic execution of specific operations	yes	no	no
Concurrency Support for concurrent manipulation of data	yes	yes	yes	yes
Durability Support for making data persistent	yes	yes	yes	yes
In-memory capabilities Is there an option to define some or all structures to be held in-memory only.	yes			yes
User concepts Access control	LDAP bind authentication	yes, based on authentication and database rules	no	no
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More resources
	Atos Standard Common Repository	Firebase Realtime Database	Riak TS	TerarkDB
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		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 Hundreds of Google Firebase websites might have leaked data online 19 March 2024, TechRadar provided by Google News	New Basho Data Platform Provides Operational Simplicity for Enterprise Big Data Applications 7 June 2015, insideBIGDATA Best open source databases for IoT applications 26 May 2017, Open Source For You provided by Google News	A Chinese company is making the cloud 200x faster · TechNode 3 July 2017, TechNode provided by Google News

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