DBMS > Atos Standard Common Repository vs. Citus vs. Machbase Neo vs. SiteWhere

System Properties Comparison Atos Standard Common Repository vs. Citus vs. Machbase Neo vs. SiteWhere

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Editorial information provided by DB-Engines
Name	Atos Standard Common Repository  Xexclude from comparison	Citus  Xexclude from comparison	Machbase Neo Former name was Infiniflux  Xexclude from comparison	SiteWhere  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	Scalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQL	TimeSeries DBMS for AIoT and BigData	M2M integration platform for persisting/querying time series data
Primary database model	Document store Key-value store	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 2.15 Rank #117   Overall #56   Relational DBMS	Score 0.17 Rank #337   Overall #30   Time Series DBMS	Score 0.06 Rank #383   Overall #43   Time Series DBMS
Website	atos.net/en/convergence-creators/portfolio/standard-common-repository	www.citusdata.com	machbase.com	github.com/­sitewhere/­sitewhere
Technical documentation		docs.citusdata.com	machbase.com/­dbms	sitewhere1.sitewhere.io/­index.html
Developer	Atos Convergence Creators		Machbase	SiteWhere
Initial release	2016	2010	2013	2010
Current release	1703	8.1, December 2018	V8.0, August 2023
License Commercial or Open Source	commercial	Open Source AGPL, commercial license also available	commercial free test version available	Open Source Common Public Attribution License Version 1.0
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
Server operating systems	Linux	Linux	Linux macOS Windows	Linux OS X Windows
Data scheme	Schema and schema-less with LDAP views	yes	yes	predefined scheme
Typing predefined data types such as float or date	optional	yes	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	yes specific XML type available, but no XML query functionality	no	no
Secondary indexes	yes	yes	yes	no
SQL Support of SQL	no	yes standard, with numerous extensions	SQL-like query language	no
APIs and other access methods	LDAP	ADO.NET JDBC native C library ODBC streaming API for large objects	gRPC HTTP REST JDBC MQTT (Message Queue Telemetry Transport) ODBC	HTTP REST
Supported programming languages	All languages with LDAP bindings	.Net C C++ Delphi Java JavaScript (Node.js) Perl PHP Python Tcl	C C# C++ Go Java JavaScript PHP via ODBC Python R via ODBC Scala
Server-side scripts Stored procedures	no	user defined functions realized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.	no
Triggers	yes	yes	no
Partitioning methods Methods for storing different data on different nodes	Sharding cell division	Sharding	Sharding	Sharding based on HBase
Replication methods Methods for redundantly storing data on multiple nodes	yes	Source-replica replication other methods possible by using 3rd party extensions	selectable replication factor	selectable replication factor based on HBase
MapReduce Offers an API for user-defined Map/Reduce methods		no	no	no
Consistency concepts Methods to ensure consistency in a distributed system	Immediate Consistency or Eventual Consistency depending on configuration	Immediate Consistency		Immediate Consistency
Foreign keys Referential integrity	no	yes	no	no
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	no	yes volatile and lookup table	no
User concepts Access control	LDAP bind authentication	fine grained access rights according to SQL-standard	simple password-based access control	Users with fine-grained authorization concept
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More resources
	Atos Standard Common Repository	Citus	Machbase Neo Former name was Infiniflux	SiteWhere
Recent citations in the news		Ubicloud wants to build an open source alternative to AWS 5 March 2024, TechCrunch Microsoft acquires Citus Data, re-affirming its commitment to Open Source and accelerating Azure PostgreSQL ... 24 January 2019, Microsoft Ubicloud reels in $16M for its open-source cloud platform 5 March 2024, SiliconANGLE News Distributed PostgreSQL Benchmarks: Azure Cosmos DB, CockroachDB, and YugabyteDB 8 July 2023, InfoQ.com Microsoft Benchmarks Distributed PostgreSQL DBs 10 July 2023, Datanami provided by Google News		SiteWhere: An open platform for connected devices 11 July 2017, Open Source For You 11 Best Open source IoT Platforms To Develop Smart Projects 9 March 2023, H2S Media provided by Google News

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