DBMS > Atos Standard Common Repository vs. Cubrid vs. Hawkular Metrics vs. Riak TS

System Properties Comparison Atos Standard Common Repository vs. Cubrid vs. Hawkular Metrics vs. Riak TS

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Editorial information provided by DB-Engines
Name	Atos Standard Common Repository  Xexclude from comparison	Cubrid  Xexclude from comparison	Hawkular Metrics  Xexclude from comparison	Riak TS  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	CUBRID is an open-source SQL-based relational database management system with object extensions for OLTP	Hawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.	Riak TS is a distributed NoSQL database optimized for time series data and based on Riak KV
Primary database model	Document store Key-value store	Relational DBMS	Time Series DBMS	Time Series DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart		Score 1.04 Rank #187   Overall #87   Relational DBMS	Score 0.08 Rank #366   Overall #39   Time Series DBMS	Score 0.28 Rank #307   Overall #27   Time Series DBMS
Website	atos.net/en/convergence-creators/portfolio/standard-common-repository	cubrid.com (korean) cubrid.org (english)	www.hawkular.org
Technical documentation		cubrid.org/­manuals	www.hawkular.org/­hawkular-metrics/­docs/­user-guide	www.tiot.jp/­riak-docs/­riak/­ts/­latest
Developer	Atos Convergence Creators	CUBRID Corporation, CUBRID Foundation	Community supported by Red Hat	Open Source, formerly Basho Technologies
Initial release	2016	2008	2014	2015
Current release	1703	11.0, January 2021		3.0.0, September 2022
License Commercial or Open Source	commercial	Open Source Apache Version 2.0	Open Source Apache 2.0	Open Source
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	C, C++, Java	Java	Erlang
Server operating systems	Linux	Linux Windows	Linux OS X Windows	Linux OS X
Data scheme	Schema and schema-less with LDAP views	yes	schema-free	schema-free
Typing predefined data types such as float or date	optional	yes	yes	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	no	restricted
SQL Support of SQL	no	yes	no	yes, limited
APIs and other access methods	LDAP	ADO.NET JDBC ODBC OLE DB	HTTP REST	HTTP API Native Erlang Interface
Supported programming languages	All languages with LDAP bindings	C C# C++ Go Java JavaScript (Node.js) Perl PHP Python Ruby	Go Java 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
Server-side scripts Stored procedures	no	Java Stored Procedures	no	Erlang
Triggers	yes	yes	yes via Hawkular Alerting	yes pre-commit hooks and post-commit hooks
Partitioning methods Methods for storing different data on different nodes	Sharding cell division	none	Sharding based on Cassandra	Sharding
Replication methods Methods for redundantly storing data on multiple nodes	yes	Source-replica replication	selectable replication factor based on Cassandra	selectable replication factor
MapReduce Offers an API for user-defined Map/Reduce methods		no	no	yes
Consistency concepts Methods to ensure consistency in a distributed system	Immediate Consistency or Eventual Consistency depending on configuration	Immediate Consistency	Eventual Consistency based on Cassandra Immediate Consistency based on Cassandra	Eventual Consistency
Foreign keys Referential integrity	no	yes	no	no links between datasets can be stored
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	Atomic execution of specific operations	ACID	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	no
User concepts Access control	LDAP bind authentication	fine grained access rights according to SQL-standard	no	no
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More resources
	Atos Standard Common Repository	Cubrid	Hawkular Metrics	Riak TS
Recent citations in the news			Waiting for Red Hat OpenShift 4.0? Too late, 4.1 has already arrived… • DEVCLASS 5 June 2019, DevClass 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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