DBMS > Atos Standard Common Repository vs. Riak TS vs. Sadas Engine vs. Sequoiadb

System Properties Comparison Atos Standard Common Repository vs. Riak TS vs. Sadas Engine vs. Sequoiadb

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Editorial information provided by DB-Engines
Name	Atos Standard Common Repository  Xexclude from comparison	Riak TS  Xexclude from comparison	Sadas Engine  Xexclude from comparison	Sequoiadb  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	Riak TS is a distributed NoSQL database optimized for time series data and based on Riak KV	SADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environments	NewSQL database with distributed OLTP and SQL
Primary database model	Document store Key-value store	Time Series DBMS	Relational DBMS	Document store 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 0.07 Rank #373   Overall #157   Relational DBMS	Score 0.50 Rank #258   Overall #41   Document stores #120   Relational DBMS
Website	atos.net/en/convergence-creators/portfolio/standard-common-repository		www.sadasengine.com	www.sequoiadb.com
Technical documentation		www.tiot.jp/­riak-docs/­riak/­ts/­latest	www.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentation	www.sequoiadb.com/­en/­index.php?m=Files&a=index
Developer	Atos Convergence Creators	Open Source, formerly Basho Technologies	SADAS s.r.l.	Sequoiadb Ltd.
Initial release	2016	2015	2006	2013
Current release	1703	3.0.0, September 2022	8.0
License Commercial or Open Source	commercial	Open Source	commercial free trial version available	Open Source Server: AGPL; Client: Apache V2
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	C++	C++
Server operating systems	Linux	Linux OS X	AIX Linux Windows	Linux
Data scheme	Schema and schema-less with LDAP views	schema-free	yes	schema-free
Typing predefined data types such as float or date	optional	no	yes	yes oid, date, timestamp, binary, regex
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	restricted	yes	yes
SQL Support of SQL	no	yes, limited	yes	SQL-like query language
APIs and other access methods	LDAP	HTTP API Native Erlang Interface	JDBC ODBC Proprietary protocol	proprietary protocol using JSON
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	.Net C C# C++ Groovy Java PHP Python	.Net C++ Java PHP Python
Server-side scripts Stored procedures	no	Erlang	no	JavaScript
Triggers	yes	yes pre-commit hooks and post-commit hooks	no	no
Partitioning methods Methods for storing different data on different nodes	Sharding cell division	Sharding	horizontal partitioning	Sharding
Replication methods Methods for redundantly storing data on multiple nodes	yes	selectable replication factor	none	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	Eventual Consistency
Foreign keys Referential integrity	no	no links between datasets can be stored	yes	no
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	Atomic execution of specific operations	no		Document is locked during a transaction
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 managed by 'Learn by Usage'	no
User concepts Access control	LDAP bind authentication	no	Access rights for users, groups and roles according to SQL-standard	simple password-based access control
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More resources
	Atos Standard Common Repository	Riak TS	Sadas Engine	Sequoiadb
Recent citations in the 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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