DBMS > Atos Standard Common Repository vs. Microsoft Azure Table Storage vs. Riak TS vs. Yanza

System Properties Comparison Atos Standard Common Repository vs. Microsoft Azure Table Storage vs. Riak TS vs. Yanza

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Editorial information provided by DB-Engines
Name	Atos Standard Common Repository  Xexclude from comparison	Microsoft Azure Table Storage  Xexclude from comparison	Riak TS  Xexclude from comparison	Yanza  Xexclude from comparison
	This system has been discontinued and will be removed from the DB-Engines ranking.			Yanza seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
Description	Highly scalable database system, designed for managing session and subscriber data in modern mobile communication networks	A Wide Column Store for rapid development using massive semi-structured datasets	Riak TS is a distributed NoSQL database optimized for time series data and based on Riak KV	Time Series DBMS for IoT Applications
Primary database model	Document store Key-value store	Wide column store	Time Series DBMS	Time Series DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart		Score 4.04 Rank #77   Overall #6   Wide column stores	Score 0.28 Rank #307   Overall #27   Time Series DBMS
Website	atos.net/en/convergence-creators/portfolio/standard-common-repository	azure.microsoft.com/­en-us/­services/­storage/­tables		yanza.com
Technical documentation			www.tiot.jp/­riak-docs/­riak/­ts/­latest
Developer	Atos Convergence Creators	Microsoft	Open Source, formerly Basho Technologies	Yanza
Initial release	2016	2012	2015	2015
Current release	1703		3.0.0, September 2022
License Commercial or Open Source	commercial	commercial	Open Source	commercial free version available
Cloud-based only Only available as a cloud service	no	yes	no	no but mainly used as a service provided by Yanza
DBaaS offerings (sponsored links) Database as a Service Providers of DBaaS offerings, please contact us to be listed.
Implementation language	Java		Erlang
Server operating systems	Linux	hosted	Linux OS X	Windows
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	no	restricted	no
SQL Support of SQL	no	no	yes, limited	no
APIs and other access methods	LDAP	RESTful HTTP API	HTTP API Native Erlang Interface	HTTP API
Supported programming languages	All languages with LDAP bindings	.Net C# C++ Java JavaScript (Node.js) PHP Python Ruby	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	any language that supports HTTP calls
Server-side scripts Stored procedures	no	no	Erlang	no
Triggers	yes	no	yes pre-commit hooks and post-commit hooks	yes Timer and event based
Partitioning methods Methods for storing different data on different nodes	Sharding cell division	Sharding Implicit feature of the cloud service	Sharding	none
Replication methods Methods for redundantly storing data on multiple nodes	yes	yes implicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.	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	Immediate Consistency	Eventual Consistency	Immediate 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	optimistic locking	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	no
User concepts Access control	LDAP bind authentication	Access rights based on private key authentication or shared access signatures	no	no
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More resources
	Atos Standard Common Repository	Microsoft Azure Table Storage	Riak TS	Yanza
Recent citations in the news		Working with Azure to Use and Manage Data Lakes 7 March 2024, Simplilearn How to Use C# Azure.Data.Tables SDK with Azure Cosmos DB 9 July 2021, hackernoon.com How to use Azure Table storage in .Net 14 January 2019, InfoWorld Quick Guide to Azure Storage Pricing 16 May 2023, DevOps.com How to write data to Azure Table Store with an Azure Function 14 April 2017, Experts Exchange 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

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