DBMS > Atos Standard Common Repository vs. FatDB vs. IBM Db2 warehouse vs. Machbase Neo

System Properties Comparison Atos Standard Common Repository vs. FatDB vs. IBM Db2 warehouse vs. Machbase Neo

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Editorial information provided by DB-Engines
Name	Atos Standard Common Repository  Xexclude from comparison	FatDB  Xexclude from comparison	IBM Db2 warehouse formerly named IBM dashDB  Xexclude from comparison	Machbase Neo Former name was Infiniflux  Xexclude from comparison
	This system has been discontinued and will be removed from the DB-Engines ranking.	FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.
Description	Highly scalable database system, designed for managing session and subscriber data in modern mobile communication networks	A .NET NoSQL DBMS that can integrate with and extend SQL Server.	Cloud-based data warehousing service	TimeSeries DBMS for AIoT and BigData
Primary database model	Document store Key-value store	Document store Key-value store	Relational DBMS	Time Series DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart			Score 1.37 Rank #160   Overall #74   Relational DBMS	Score 0.17 Rank #337   Overall #30   Time Series DBMS
Website	atos.net/en/convergence-creators/portfolio/standard-common-repository		www.ibm.com/­products/­db2/­warehouse	machbase.com
Technical documentation				machbase.com/­dbms
Developer	Atos Convergence Creators	FatCloud	IBM	Machbase
Initial release	2016	2012	2014	2013
Current release	1703			V8.0, August 2023
License Commercial or Open Source	commercial	commercial	commercial	commercial free test version available
Cloud-based only Only available as a cloud service	no	no	yes	no
DBaaS offerings (sponsored links) Database as a Service Providers of DBaaS offerings, please contact us to be listed.
Implementation language	Java	C#		C
Server operating systems	Linux	Windows	hosted	Linux macOS Windows
Data scheme	Schema and schema-less with LDAP views	schema-free	yes	yes
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		no Import/export of XML data possible	no
Secondary indexes	yes	yes	yes	yes
SQL Support of SQL	no	no Via inetgration in SQL Server	yes	SQL-like query language
APIs and other access methods	LDAP	.NET Client API LINQ RESTful HTTP API RPC Windows WCF Bindings	.NET Client API JDBC ODBC OLE DB	gRPC HTTP REST JDBC MQTT (Message Queue Telemetry Transport) ODBC
Supported programming languages	All languages with LDAP bindings	C#	Java JavaScript (Node.js) Perl PHP Python R Ruby	C C# C++ Go Java JavaScript PHP via ODBC Python R via ODBC Scala
Server-side scripts Stored procedures	no	yes via applications	PL/SQL, SQL PL	no
Triggers	yes	yes via applications	yes	no
Partitioning methods Methods for storing different data on different nodes	Sharding cell division	Sharding	Sharding	Sharding
Replication methods Methods for redundantly storing data on multiple nodes	yes	selectable replication factor	yes	selectable replication factor
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	Immediate Consistency
Foreign keys Referential integrity	no	no	yes	no
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	no
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	no Can implement custom security layer via applications	fine grained access rights according to SQL-standard	simple password-based access control
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More resources
	Atos Standard Common Repository	FatDB	IBM Db2 warehouse formerly named IBM dashDB	Machbase Neo Former name was Infiniflux
Recent citations in the news			Announcing the deprecation of prior generation Db2 Warehouse plans on AWS 16 October 2023, ibm.com Introducing the next generation of Db2 Warehouse: Our cost-effective, cloud-native data warehouse built for always-on ... 11 July 2023, ibm.com Data Mining in Db2 Warehouse: the basics 23 June 2020, Towards Data Science Db2 Warehouse delivers 4x faster query performance than previously, while cutting storage costs by 34x 11 July 2023, ibm.com Top 7 Cloud Data Warehouse Companies 31 May 2023, Datamation provided by Google News

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