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

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

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Editorial information provided by DB-Engines
Name	Atos Standard Common Repository  Xexclude from comparison	Hawkular Metrics  Xexclude from comparison	Linter  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	Hawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.	RDBMS for high security requirements	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	Time Series DBMS	Relational DBMS	Time Series DBMS
Secondary database models			Spatial DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart		Score 0.08 Rank #366   Overall #39   Time Series DBMS	Score 0.12 Rank #350   Overall #152   Relational DBMS	Score 0.28 Rank #307   Overall #27   Time Series DBMS
Website	atos.net/en/convergence-creators/portfolio/standard-common-repository	www.hawkular.org	linter.ru
Technical documentation		www.hawkular.org/­hawkular-metrics/­docs/­user-guide		www.tiot.jp/­riak-docs/­riak/­ts/­latest
Developer	Atos Convergence Creators	Community supported by Red Hat	relex.ru	Open Source, formerly Basho Technologies
Initial release	2016	2014	1990	2015
Current release	1703			3.0.0, September 2022
License Commercial or Open Source	commercial	Open Source Apache 2.0	commercial	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	Java	C and C++	Erlang
Server operating systems	Linux	Linux OS X Windows	AIX Android BSD HP Open VMS iOS Linux OS X VxWorks Windows	Linux OS X
Data scheme	Schema and schema-less with LDAP views	schema-free	yes	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	no	yes	restricted
SQL Support of SQL	no	no	yes	yes, limited
APIs and other access methods	LDAP	HTTP REST	ADO.NET JDBC LINQ ODBC OLE DB Oracle Call Interface (OCI)	HTTP API Native Erlang Interface
Supported programming languages	All languages with LDAP bindings	Go Java Python Ruby	C C# C++ Java Perl PHP Python Qt Ruby Tcl	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	no	yes proprietary syntax with the possibility to convert from PL/SQL	Erlang
Triggers	yes	yes via Hawkular Alerting	yes	yes pre-commit hooks and post-commit hooks
Partitioning methods Methods for storing different data on different nodes	Sharding cell division	Sharding based on Cassandra	none	Sharding
Replication methods Methods for redundantly storing data on multiple nodes	yes	selectable replication factor based on Cassandra	Source-replica replication	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	Eventual Consistency based on Cassandra Immediate Consistency based on Cassandra	Immediate Consistency	Eventual Consistency
Foreign keys Referential integrity	no	no	yes	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	no	ACID	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	no	fine grained access rights according to SQL-standard	no
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More resources
	Atos Standard Common Repository	Hawkular Metrics	Linter	Riak TS
Recent citations in the news	Infographic: What makes a Mobile Operator's setup future proof? 10 February 2024, Atos provided by Google 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 provided by Google News

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