DBMS > Atos Standard Common Repository vs. Riak TS vs. SAP SQL Anywhere vs. Yaacomo

System Properties Comparison Atos Standard Common Repository vs. Riak TS vs. SAP SQL Anywhere vs. Yaacomo

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Editorial information provided by DB-Engines
Name	Atos Standard Common Repository  Xexclude from comparison	Riak TS  Xexclude from comparison	SAP SQL Anywhere formerly called Adaptive Server Anywhere  Xexclude from comparison	Yaacomo  Xexclude from comparison
	This system has been discontinued and will be removed from the DB-Engines ranking.			Yaacomo seems to be discontinued and is removed from the DB-Engines ranking
Description	Highly scalable database system, designed for managing session and subscriber data in modern mobile communication networks	Riak TS is a distributed NoSQL database optimized for time series data and based on Riak KV	RDBMS database and synchronization technologies for server, desktop, remote office, and mobile environments	OpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database model	Document store Key-value store	Time Series DBMS	Relational DBMS	Relational DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart		Score 0.28 Rank #307   Overall #27   Time Series DBMS	Score 3.95 Rank #80   Overall #42   Relational DBMS
Website	atos.net/en/convergence-creators/portfolio/standard-common-repository		www.sap.com/­products/­technology-platform/­sql-anywhere.html	yaacomo.com
Technical documentation		www.tiot.jp/­riak-docs/­riak/­ts/­latest	help.sap.com/­docs/­SAP_SQL_Anywhere
Developer	Atos Convergence Creators	Open Source, formerly Basho Technologies	SAP formerly Sybase	Q2WEB GmbH
Initial release	2016	2015	1992	2009
Current release	1703	3.0.0, September 2022	17, July 2015
License Commercial or Open Source	commercial	Open Source	commercial	commercial
Cloud-based only Only available as a cloud service	no	no	no	no
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	Linux OS X	AIX HP-UX Linux OS X Solaris Windows	Android Linux Windows
Data scheme	Schema and schema-less with LDAP views	schema-free	yes	yes
Typing predefined data types such as float or date	optional	no	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.	yes	no	yes	no
Secondary indexes	yes	restricted	yes	yes
SQL Support of SQL	no	yes, limited	yes	yes
APIs and other access methods	LDAP	HTTP API Native Erlang Interface	ADO.NET HTTP API JDBC ODBC	JDBC ODBC
Supported programming languages	All languages with LDAP bindings	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 C# C++ Delphi Java JavaScript (Node.js) Perl PHP Python Ruby
Server-side scripts Stored procedures	no	Erlang	yes, in C/C++, Java, .Net or Perl
Triggers	yes	yes pre-commit hooks and post-commit hooks	yes	yes
Partitioning methods Methods for storing different data on different nodes	Sharding cell division	Sharding	none	horizontal partitioning
Replication methods Methods for redundantly storing data on multiple nodes	yes	selectable replication factor	Source-replica replication Database mirroring	Source-replica replication
MapReduce Offers an API for user-defined Map/Reduce methods		yes	no	no
Consistency concepts Methods to ensure consistency in a distributed system	Immediate Consistency or Eventual Consistency depending on configuration	Eventual Consistency	Immediate Consistency	Immediate Consistency
Foreign keys Referential integrity	no	no links between datasets can be stored	yes	yes
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	Atomic execution of specific operations	no	ACID	ACID
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	yes
User concepts Access control	LDAP bind authentication	no	fine grained access rights according to SQL-standard	fine grained access rights according to SQL-standard
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More resources
	Atos Standard Common Repository	Riak TS	SAP SQL Anywhere formerly called Adaptive Server Anywhere	Yaacomo
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