DBMS > Atos Standard Common Repository vs. InterSystems Caché vs. Machbase Neo vs. Riak TS

System Properties Comparison Atos Standard Common Repository vs. InterSystems Caché vs. Machbase Neo vs. Riak TS

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Editorial information provided by DB-Engines
Name	Atos Standard Common Repository  Xexclude from comparison	InterSystems Caché  Xexclude from comparison	Machbase Neo Former name was Infiniflux  Xexclude from comparison	Riak TS  Xexclude from comparison
	This system has been discontinued and will be removed from the DB-Engines ranking.	Caché is a deprecated database engine which is substituted with InterSystems IRIS. It therefore is removed from the DB-Engines Ranking.
Description	Highly scalable database system, designed for managing session and subscriber data in modern mobile communication networks	A multi-model DBMS and application server	TimeSeries DBMS for AIoT and BigData	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	Key-value store Object oriented DBMS Relational DBMS	Time Series DBMS	Time Series DBMS
Secondary database models		Document store
DB-Engines Ranking measures the popularity of database management systems Trend Chart			Score 0.17 Rank #337   Overall #30   Time Series DBMS	Score 0.28 Rank #307   Overall #27   Time Series DBMS
Website	atos.net/en/convergence-creators/portfolio/standard-common-repository	www.intersystems.com/­products/­cache	machbase.com
Technical documentation		docs.intersystems.com	machbase.com/­dbms	www.tiot.jp/­riak-docs/­riak/­ts/­latest
Developer	Atos Convergence Creators	InterSystems	Machbase	Open Source, formerly Basho Technologies
Initial release	2016	1997	2013	2015
Current release	1703	2018.1.4, May 2020	V8.0, August 2023	3.0.0, September 2022
License Commercial or Open Source	commercial	commercial	commercial free test version available	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	Erlang
Server operating systems	Linux	AIX HP Open VMS HP-UX Linux OS X Solaris Windows	Linux macOS Windows	Linux OS X
Data scheme	Schema and schema-less with LDAP views	depending on used data model	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	yes	no	no
Secondary indexes	yes	yes	yes	restricted
SQL Support of SQL	no	yes	SQL-like query language	yes, limited
APIs and other access methods	LDAP	.NET Client API JDBC ODBC RESTful HTTP API	gRPC HTTP REST JDBC MQTT (Message Queue Telemetry Transport) ODBC	HTTP API Native Erlang Interface
Supported programming languages	All languages with LDAP bindings	C# C++ Java	C C# C++ Go Java JavaScript PHP via ODBC Python R via ODBC Scala	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	yes	no	Erlang
Triggers	yes	yes	no	yes pre-commit hooks and post-commit hooks
Partitioning methods Methods for storing different data on different nodes	Sharding cell division	none	Sharding	Sharding
Replication methods Methods for redundantly storing data on multiple nodes	yes	Source-replica replication	selectable replication factor	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
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	no	yes
In-memory capabilities Is there an option to define some or all structures to be held in-memory only.	yes	yes	yes volatile and lookup table
User concepts Access control	LDAP bind authentication	Access rights for users, groups and roles	simple password-based access control	no
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More resources
	Atos Standard Common Repository	InterSystems Caché	Machbase Neo Former name was Infiniflux	Riak TS
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